<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:blogger='http://schemas.google.com/blogger/2008' xmlns:georss='http://www.georss.org/georss' xmlns:gd="http://schemas.google.com/g/2005" xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-2218279080571575748</id><updated>2024-10-03T10:30:35.841-07:00</updated><category term="Metrologia"/><category term="Otros"/><category term="Procalmet"/><category term="Novedades Web"/><category term="Zona usuarios"/><title type='text'>Procalmet S.L. Blog</title><subtitle type='html'>PROCALMET S.L. es un empresa que diseña, programa y distribuye programas informáticos modulares; para gestionar la metrologia: dimensional, masa/fuerza, temperaturas, etc...</subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default?redirect=false'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><link rel='next' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default?start-index=26&amp;max-results=25&amp;redirect=false'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>48</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>25</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-3490746240132265884</id><published>2013-06-19T10:00:00.000-07:00</published><updated>2013-06-19T10:00:00.427-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Las llaves dinamometricas</title><content type='html'>La llave dinamométrica 
es un instrumento de medida para el control de los pares de apriete. Se 
trata de un instrumento de medida muy presente en los talleres 
metal-mecánicos y en las operaciones de mantenimiento y montaje 
industrial.&lt;br /&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://img171.imageshack.us/img171/4986/es6629001b.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;191&quot; src=&quot;http://img171.imageshack.us/img171/4986/es6629001b.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;br /&gt;
Las uniones mediante tornillos, que son las más utilizadas para un ensamblaje no definitivo. Deben soportar los esfuerzos más variados. Cuando hay que atornillar entre sí componentes sujetos a grandes esfuerzos, los tornillos deben garantizar una unión segura bajo las fuerzas que se producen. Es decir, deben estar dimensionados y ser apretados de una forma específica, para que, una vez montados, ejerzan una tensión previa superior a las fuerzas esperadas.&lt;br /&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://ecx.images-amazon.com/images/I/614uGMIUaYL.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;296&quot; src=&quot;http://ecx.images-amazon.com/images/I/614uGMIUaYL.jpg&quot; width=&quot;320&quot; /&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;a href=&quot;http://lhmmaniacos.com/LaWeb/images/users/vsig_images/tedperkins_frenomanoCX_23_783_587_90.jpg&quot; imageanchor=&quot;1&quot; style=&quot;clear: left; float: left; margin-bottom: 1em; margin-right: 1em;&quot;&gt;&lt;/a&gt;&lt;br /&gt;El procedimiento más utilizado para un apriete controlado, junto al del control del límite elástico y el  ángulo de giro, es el procedimiento de apriete dinamométrico definido para esa unión atornillada. &lt;br /&gt;
&lt;br /&gt;
El par de apriete debe superar las fuerzas de rozamiento que se producen en las zonas de contacto al apretar el tornillo. Hay que aplicar, además, las fuerzas necesarias para la deformación del tornillo y/o del material en el ámbito elástico. Cuanto menos influya el rozamiento, mayor será la tensión previa que puede alcanzarse con un mismo diámetro de tornillo y  con la misma clase de resistencia.&lt;br /&gt; &lt;br /&gt;Si las uniones atornilladas se aprietan con una herramienta simple, no es posible alcanzar una tensión previa definida. El par de apriete aplicado, y por lo tanto la tensión previa, puede variar mucho de usuario a usuario, condicionado por una sensación subjetiva muy distinta. Por lo general, los tornillos se aprietan demasiado. Si entonces un tornillo sufre una carga de régimen superior a su resistencia a la tracción, se &lt;br /&gt;rompe. Por otro lado, los tornillos que no han sido suficientemente apretados albergan un elevado &lt;br /&gt;potencial de peligro.&lt;br /&gt;
&lt;br /&gt;Un par de apriete definido sólo se puede lograr con una herramienta adecuada, como, por ejemplo, una llave dinamométrica o un destornillador dinamométrico.Las dinamométricas denominadas “de disparo” incluyen un 
mecanismo que limita la fuerza ejercida con la llave a un valor 
determinado. Alcanzado ese valor, la&amp;nbsp;&lt;strong&gt;llave dinamométrica&lt;/strong&gt;&amp;nbsp;dispara el mecanismo no pudiendo ejercer más fuerza sobre ese valor. &lt;br /&gt;
&lt;br /&gt;
Las llaves dinamométricas tienen un campo de aplicación muy variado. Se utilizan para medir, controlar o realizar pares de apriete en constante cambio o para la reproducción de un par de giro preestablecido. Debido a sus múltiples y heterogéneas posibilidades de aplicación, estos aparatos deben ser resistentes, fiables y de aplicación lo más universal posible.&lt;br /&gt;
&lt;br /&gt;Las llaves dinanométricas electrónicas están ganando en importancia, ya que la industria y los talleres requieren un nivel cada vez mayor de precisión y de documentación de las mediciones. &lt;br /&gt;Estas herramientas permiten al usuario no sólo una precisión extraordinariamente alta, sino también la posibilidad de archivar los resultados para su posterior utilización. Para garantizar la necesaria precisión de estas herramientas, es necesario someterlas a una revisión periódica y aplicar un plan de calibración acorde a las necesidades y uso de la llave.&lt;br /&gt;
&lt;br /&gt;

  &lt;div align=&quot;justify&quot;&gt;
   En la&amp;nbsp;&lt;strong&gt;calibración de llaves dinamómetricas&lt;/strong&gt;&amp;nbsp;se revela
 que se trata de instrumentos con errores elevados (del orden del 5% FE)
 y repetibilidades con una dispersión elevada. Esto es debido a que su 
diseño y su propósito está orientado más a una herramienta que a un 
instrumento de medida.&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.stahlwille.es/web/images/stories/productos/cali1.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;224&quot; src=&quot;http://www.stahlwille.es/web/images/stories/productos/cali1.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;br /&gt;
   La&amp;nbsp;&lt;a class=&quot;Enlaces&quot; href=&quot;http://www.caltex.es/&quot; style=&quot;color: #2e3a42; font-weight: bold; outline-color: initial; outline-style: none; outline-width: initial; text-decoration: none;&quot; title=&quot;calibración de una llave dinamómetrica&quot;&gt;calibración de una llave dinamómetrica&lt;/a&gt;&amp;nbsp;debe
 ser una operación planificada y sus resultados deben ser verificados 
conformes a un criterio de aceptación/rechazo preestablecido. Se
 utilizan patrones de par debidamente certificados y trazables al patrón
 nacional que se encuentra en el CEM o a 
otro patrón nacional, siempre que se encuentre en un sistema metrológico
 firmante de los Acuerdos Multilaterales de Reconocimiento (MLA). El 
resultado de la&amp;nbsp;&lt;strong&gt;calibración dinamométricas&lt;/strong&gt;&amp;nbsp;se incluye 
en un certificado de calibración, el cual debe contener una serie de 
información mínima y cumplir una serie de condiciones para ser aceptado y
 reconocido.&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;strong&gt;Calibrar llaves dinamométricas&lt;/strong&gt;&amp;nbsp;es comparar la medida de un patrón de referencia trazable con la medida del mensurando. Al calibrar las&amp;nbsp;&lt;strong&gt;llaves dinamométricas&lt;/strong&gt;&amp;nbsp;estamos
 aportando niveles de fiabilidad y seguridad en los procesos donde la 
medición resultante del uso del instrumento tenga lugar. Igualmente, al 
calibrar las&amp;nbsp;&lt;strong&gt;llaves dinamométricas&lt;/strong&gt;&amp;nbsp;podremos generar los
 registros pertinentes para poder documentar un Sistema de Gestión de la
 Calidad y tomar las medidas oportunas para poder asegurar la calidad de
 los productos y servicios.&lt;br /&gt;
&lt;br /&gt;

  
   </content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/3490746240132265884/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2013/06/las-llaves-dinamometricas.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3490746240132265884'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3490746240132265884'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2013/06/las-llaves-dinamometricas.html' title='Las llaves dinamometricas'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-3537937630110990340</id><published>2013-06-05T10:56:00.001-07:00</published><updated>2013-06-05T10:56:39.843-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Exactitud no es lo mismo que precisión</title><content type='html'>&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4A4MBWEr_Oz3N8ZLder69pTEupDoKlJkYBDKNQMuz8N8WB-i6Pg_JYVPKNPtlZwe1KzFdWchCZzlAR4YJXTyfBaljBn2jWkvHykLLMkhiH1JH9NgPe8xfWMbMHYod5NnoKOq82LZms61e/s1600/EXACTI~1.JPG&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;292&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4A4MBWEr_Oz3N8ZLder69pTEupDoKlJkYBDKNQMuz8N8WB-i6Pg_JYVPKNPtlZwe1KzFdWchCZzlAR4YJXTyfBaljBn2jWkvHykLLMkhiH1JH9NgPe8xfWMbMHYod5NnoKOq82LZms61e/s320/EXACTI~1.JPG&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
La exactitud y la precisión son,
        junto con la incertidumbre, los conceptos más importantes en metrología, con
        significados diferentes y bien definidos, aunque en el lenguaje de calle se
        utilicen habitualmente como sinónimos. Así pues, una medición puede ser precisa y, al mismo tiempo, inexacta.&lt;br /&gt;
&lt;br /&gt;
El Vocabulario Internacional de Metrología (VIM) define la &lt;b&gt;&lt;i&gt;precisión&lt;/i&gt;&lt;/b&gt;
 como la proximidad entre las indicaciones o valores medidos de un mismo
 mensurando, obtenidos en mediciones repetidas, bajo condiciones 
especificadas.&lt;br /&gt;
&lt;br /&gt;
La
        precisión de una medida suele expresarse numéricamente mediante medidas de
        dispersión tales como la desviación típica o la varianza. Por ello, cuanto más
        estrecha sea la distribución de resultados, menor será la desviación típica de
        la misma y mayor la precisión de la medida. &lt;b&gt;La precisión depende pues únicamente
        de la distribución de los resultados&lt;/b&gt; y no está relacionada con el valor convencionalmente
        “verdadero” de la medición.&lt;br /&gt;
&lt;br /&gt;
Por
        su parte, la &lt;b&gt;&lt;i&gt;exactitud&lt;/i&gt;&lt;/b&gt; viene definida como la proximidad entre el valor medido y el valor “verdadero” del mensurando. Así pues, &lt;b&gt;una medición es más exacta cuanto más pequeño es el error de medida&lt;/b&gt;.&lt;br /&gt;
&lt;br /&gt;
Para más información ver el artículo&amp;nbsp; &lt;a href=&quot;http://www.e-medida.es/documentos/Numero-1/exactitud-no-es-lo-mismo-que-precision.htm&quot; target=&quot;_blank&quot;&gt;&lt;span style=&quot;font-size: small;&quot;&gt;¿Sabías que Exactitud no        es lo mismo que Precisión?&lt;/span&gt;&lt;/a&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/3537937630110990340/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2013/06/exactitud-no-es-lo-mismo-que-precision.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3537937630110990340'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3537937630110990340'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2013/06/exactitud-no-es-lo-mismo-que-precision.html' title='Exactitud no es lo mismo que precisión'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEi4A4MBWEr_Oz3N8ZLder69pTEupDoKlJkYBDKNQMuz8N8WB-i6Pg_JYVPKNPtlZwe1KzFdWchCZzlAR4YJXTyfBaljBn2jWkvHykLLMkhiH1JH9NgPe8xfWMbMHYod5NnoKOq82LZms61e/s72-c/EXACTI~1.JPG" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-4679204518862621075</id><published>2013-02-13T00:03:00.000-08:00</published><updated>2013-02-13T00:03:33.730-08:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Verificaciones metrológicas.</title><content type='html'>&lt;strong style=&quot;font-size: 15px;&quot;&gt;¿Qué es una verificación metrológica? &lt;br /&gt;
&lt;/strong&gt;&lt;br /&gt;
Es el conjunto de exámenes administrativos, visuales y técnicos que 
tienen por objeto comprobar y confirmar que un instrumento de medida en 
servicio mantiene desde su última verificación las características 
metrológicas que le sean de aplicación, en especial en lo referente a 
los errores máximos permitidos, así como que funcione conforme a su 
diseño y sea conforme a su reglamentación específica y, en su caso, al 
diseño o modelo aprobado.&lt;br /&gt;
&lt;br /&gt;
&lt;strong style=&quot;font-size: 15px;&quot;&gt;¿Quién está obligado a solicitar la verificación metrológica?&lt;/strong&gt;&lt;br /&gt;
&lt;br /&gt;
Quienes utilicen o posean, a título de propiedad, arrendamiento 
financiero u otras fórmulas financieras semejantes, un instrumento de 
medida en servicio están obligados a solicitar su verificación 
metrológica cuando así se establezca por orden ministerial específica 
promulgada para cada tipo de instrumento.&lt;br /&gt;
&lt;br /&gt;
En el caso de instrumentos de medida que tengan un &lt;strong&gt;uso itinerante&lt;/strong&gt;,
 la solicitud se presentará ante la Administración pública competente 
donde esté situado el domicilio fiscal del sujeto obligado.&lt;br /&gt;
&lt;br /&gt;
&lt;strong style=&quot;font-size: 15px;&quot;&gt;¿Cuándo se debe solicitar la verificación periódica?&lt;/strong&gt;&lt;br /&gt;
&lt;br /&gt;
Los titulares o poseedores de los instrumentos de medida sujetos a la 
fase de verificación metrológica deberán solicitar la verificación 
periódica antes de que finalice el plazo de validez de la anterior 
verificación periódica.&lt;br /&gt;
&lt;br /&gt;
El plazo de validez de la verificación periódica es distinto para cada 
tipo de instrumento de medida, y viene indicado en la orden ministerial 
que específicamente regula la fase de su verificación metrológica.&amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&lt;strong style=&quot;font-size: 15px;&quot;&gt;¿Qué es una verificación después de reparación o modificación?&lt;/strong&gt;&lt;br /&gt;
&lt;br /&gt;
Es el conjunto de exámenes administrativos, visuales y técnicos que 
pueden ser realizados en un laboratorio o en el lugar de uso, que tienen
 por objeto comprobar y confirmar que un instrumento de medida en 
servicio mantiene, después de una reparación o modificación &lt;strong&gt;que requiera rotura de precintos&lt;/strong&gt;,
 las características metrológicas que le sean de aplicación, en especial
 en lo referente a los errores máximos permitidos, así como que funcione
 conforme a su diseño y sea conforme a su reglamentación específica y, 
en su caso, al diseño o modelo aprobado.&lt;br /&gt;
&lt;br /&gt;
&lt;strong style=&quot;font-size: 15px;&quot;&gt;¿Quién puede realizar la reparación o modificación de un instrumento sometido a control metrológico?&lt;/strong&gt;&lt;br /&gt;
&lt;br /&gt;
La reparación o modificación de los instrumentos sometidos a control 
metrológico del Estado sólo puede ser realizada por persona o entidad 
inscrita como reparador en el Registro de Control Metrológico, de 
acuerdo con los requisitos establecidos en la legislación vigente.&lt;br /&gt;
&lt;br /&gt;
Todas las actuaciones realizadas por un reparador autorizado estarán 
documentadas en un parte de trabajo en formato díptico autocopiativo, 
cuya primera hoja quedará en poder de la entidad reparadora y la 
segunda, en poder del titular o poseedor del instrumento. En él se 
anotará la naturaleza de la reparación, la fecha de la actuación, el 
número de identificación del reparador autorizado, la identificación de 
la persona que ha realizado la reparación o modificación, su firma y el 
sello de la entidad reparadora.&amp;nbsp;&lt;br /&gt;
&lt;br /&gt;
&lt;strong style=&quot;font-size: 15px;&quot;&gt;¿Cuándo se debe solicitar la verificación después de reparación o modificación?&lt;/strong&gt;&lt;br /&gt;
&lt;br /&gt;
El titular o poseedor de un instrumento de medida que ha sido sometido a
 una reparación o modificación que haya requerido rotura de precintos, 
debe solicitar la verificación del mismo antes de su puesta en servicio.&lt;br /&gt;
&lt;br /&gt;
&lt;strong style=&quot;font-size: 15px;&quot;&gt;¿Qué ocurre cuando no se supera la verificación metrológica?&lt;/strong&gt;&lt;br /&gt;
&lt;br /&gt;
Cuando el instrumento no supere la verificación, en cualquiera de sus 
modalidades, debe ser puesto fuera de servicio hasta que se subsane la 
deficiencia que ha impedido la superación. &lt;br /&gt;
&lt;br /&gt;
Se hace constar esta circunstancia mediante una &lt;strong&gt;etiqueta de inhabilitación de uso&lt;/strong&gt;,
 especificando en la misma el tipo de instrumento de que se trate y la 
calificación FUERA DE SERVICIO en letra mayúscula en negro sobre fondo 
rojo. También figurará la entidad verificadora, su número de 
identificación y la fecha en que se realizó el control que dió lugar a 
la inhabilitación para el servicio.&lt;br /&gt;
&lt;br /&gt;
En el caso de que dicha deficiencia no se subsane se adoptarán las 
medidas oportunas para garantizar que el instrumento de medida sea 
retirado definitivamente del servicio.&amp;nbsp; 
</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/4679204518862621075/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2013/02/verificaciones-metrologicas.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4679204518862621075'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4679204518862621075'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2013/02/verificaciones-metrologicas.html' title='Verificaciones metrológicas.'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-2145231301701985034</id><published>2012-07-24T07:10:00.000-07:00</published><updated>2012-07-24T07:10:38.872-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>La evaluación de conformidad</title><content type='html'>&lt;div style=&quot;text-align: justify;&quot;&gt;
Por evaluación de la conformidad se entiende la actividad que permite
 determinar si un producto, proceso, sistema, persona u organismo, 
cumple con las normas y los requisitos que le son de aplicación. La 
norma UNE-EN ISO/IEC 17000:2004 [2] define los términos y conceptos 
generales relativos a la evaluación de la conformidad, incluyendo la 
acreditación de los organismos evaluadores de la conformidad y la 
utilización de la evaluación de la conformidad como herramienta para 
facilitar las transacciones comerciales.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
La determinación de que un producto cumple los requisitos 
aplicables se basa en la medición como principal fuente de información. 
La norma ISO 10576-1:2003 [3] establece directrices para verificar la 
conformidad respecto a límites especificados en la medición de una 
magnitud, mediante comparación del intervalo de incertidumbre (o de 
cobertura) con el intervalo de tolerancia permitido.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
El documento JCGM 106, Evaluation of measurement data — &lt;i&gt;The role of measurement uncertainty in conformity assessment &lt;/i&gt;[4],
 extiende este enfoque para incluir explícitamente los riesgos y 
desarrolla procedimientos generales para decidir sobre la conformidad, 
basándose en los resultados de medida, reconociendo el importante papel 
que juegan las distribuciones de probabilidad a la hora de expresar la 
incertidumbre y la información, siempre incompleta, de que se dispone.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
La evaluación de la incertidumbre de medida se realiza 
aplicando la Guía para la expresión de la incertidumbre de medida (GUM) y
 sus respectivos suplementos, JCGM 101 [5], JCGM 102 [6] y JCGM 103 [7],
 asumiendo que la magnitud de interés, el mensurando, ha sido medida y 
expresada en forma compatible con los principios descritos en la GUM y 
que se han aplicado todas las correcciones necesarias para compensar los
 errores sistemáticos reconocidos como tales.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
En la evaluación de la conformidad, la medición se realiza 
para decidir si un elemento de interés (pesa patrón, termómetro, 
amperímetro digital o muestra de una sustancia) es conforme con un 
requisito especificado. El requisito suele consistir en un límite 
(máximo o mínimo) o dos límites de tolerancia que definen el intervalo 
de valores permitidos para la característica del elemento.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Si el resultado y obtenido durante la medida de la 
característica del elemento pertenece al intervalo de valores permitidos
 (intervalo de tolerancia), el elemento resulta conforme, no siéndolo en
 caso contrario. Pero en la práctica, las cosas no son tan sencillas, 
debido a la existencia de la incertidumbre de medida, que es inherente a
 la medición. Por ello, la decisión acerca de si el elemento es o no 
conforme también llevará aparejada una cierta incertidumbre. En la 
práctica, a lo máximo que podría llegarse es a cuantificar la 
probabilidad &lt;i&gt;p&lt;/i&gt;&lt;sub&gt;c&lt;/sub&gt; de que, apoyándose en el resultado de medida obtenido, el elemento sea o no conforme.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Si la probabilidad &lt;i&gt;p&lt;/i&gt;&lt;sub&gt;c&lt;/sub&gt; es suficientemente elevada 
(habitualmente es así cuando supera el 95 %) el elemento se podría 
considerar conforme. En la figura 2 se muestran tres diferentes ejemplos
 correspondientes a la medida del diámetro de un taladro para el cual se
 ha establecido un límite de tolerancia inferior &lt;i&gt;T&lt;sub&gt;I&lt;/sub&gt;&lt;/i&gt; = 9,9 mm y un límite de tolerancia superior &lt;i&gt;T&lt;sub&gt;S&lt;/sub&gt;&lt;/i&gt;
 = 10,1 mm. Obsérvese la gran influencia de la incertidumbre sobre la 
posibilidad o no de declarar conforme al elemento analizado. En azul se 
ha marcado el intervalo de tolerancia  [&lt;i&gt; T&lt;sub&gt;I&lt;/sub&gt;&lt;/i&gt;, &lt;i&gt;T&lt;sub&gt;S&lt;/sub&gt;&lt;/i&gt;
 ], en verde la parte de la función de densidad de probabilidad que 
pertenece al intervalo de tolerancia y en rojo aquella otra parte que 
queda fuera del intervalo.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.e-medida.es/documentos/Numero-2/metrologia_y_ensenanza/mye6-1.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;180&quot; src=&quot;http://www.e-medida.es/documentos/Numero-2/metrologia_y_ensenanza/mye6-1.jpg&quot; width=&quot;400&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
En la figura 2 (a) se ha representado un resultado de medida 
que resulta coincidir con el centro del intervalo de tolerancia. Desde 
este punto de vista, parecería un muy buen resultado y, quizá, podría 
pensarse en declarar al taladro conforme con su especificación. Ahora 
bien, su incertidumbre de medida (&lt;i&gt;U&lt;/i&gt; = 0,20 mm) es elevada en 
relación con la longitud del intervalo de tolerancia. Por ello, a pesar 
de coincidir el resultado con el centro del intervalo de tolerancia la 
probabilidad &lt;i&gt;p&lt;/i&gt;&lt;sub&gt;c&lt;/sub&gt; de que el elemento sea conforme no 
es muy alta (únicamente un 68,27 % lo que equivale a decir que existe 
una probabilidad del 31,63 % de que elemento no cumpla la 
especificación).&amp;nbsp;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
En la figura 2 (b) se ha representado un resultado &lt;i&gt;y&lt;/i&gt; = 9,92 mm  que se encuentra muy cerca del límite inferior &lt;i&gt; T&lt;sub&gt;I&lt;/sub&gt;&lt;/i&gt;
 = 9,9 mm. A primera vista parecería que este resultado es peor que el 
representado en la figura 2 (a). Sin embargo su incertidumbres ahora 
mucho menor (&lt;i&gt;U&lt;/i&gt; = 0,02 mm). Gracias a esta baja incertidumbre la probabilidad  &lt;i&gt;P&lt;/i&gt;&lt;sub&gt;c&lt;/sub&gt; de que el elemento sea conforme es muy alta (un 97,72 %) lo que permitiría declarar al taladro conforme con su especificación.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
En la figura 2 (c) aparece representado un resultado &lt;i&gt;y&lt;/i&gt; = 9,88 mm que también se encuentra muy cerca del límite inferior &lt;i&gt;T&lt;sub&gt;I&lt;/sub&gt;&lt;/i&gt; = 9,9 mm, pero ahora por debajo de él. A pesar de la cercanía con &lt;i&gt;T&lt;sub&gt;I&lt;/sub&gt;&lt;/i&gt;
 = 9,9 mm y gracias a la baja incertidumbre sería posible declarar a 
este taladro no conforme con su especificación. En efecto, la 
probabilidad pc de que el elemento sea conforme es muy baja (un 2,28 %) 
lo que equivale a decir que la probabilidad de que el elemento sea no 
conforme es muy alta (100 % - 2,18 % = 97,72 %).&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Evidentemente, el proceso anteriormente descrito (cálculo de una integral para la determinación de la probabilidad &lt;i&gt;p&lt;/i&gt;&lt;sub&gt;c&lt;/sub&gt;)
 no es de aplicación a la toma de decisiones en entornos industriales. 
En dichos entornos es necesario implementar un procedimiento mucho mas 
simple como el que a continuación se detalla.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.e-medida.es/documentos/Numero-2/metrologia_y_ensenanza/mye7.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;184&quot; src=&quot;http://www.e-medida.es/documentos/Numero-2/metrologia_y_ensenanza/mye7.jpg&quot; width=&quot;320&quot; /&gt;&amp;nbsp;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: justify;&quot;&gt;
Según la figura superior, el valor verdadero del parámetro a verificar de un 
producto debe encontrarse dentro del intervalo de tolerancia definido 
por los límites inferior y superior de ésta (&lt;i&gt;T&lt;sub&gt;I&lt;/sub&gt;&lt;/i&gt; , &lt;i&gt;T&lt;sub&gt;S&lt;/sub&gt;&lt;/i&gt;). Sin embargo, el producto únicamente se declarará conforme con sus especificaciones si el valor &lt;i&gt;y&lt;/i&gt;
 resultado de la medida de dicho parámetro se halla dentro de un 
intervalo de aceptación (inferior al de tolerancia, por causa de la 
incertidumbre de medida), definido por los límites de aceptación (&lt;i&gt;A&lt;/i&gt;&lt;sub&gt;I&lt;/sub&gt;, &lt;i&gt;A&lt;sub&gt;S&lt;/sub&gt;&lt;/i&gt;), rechazándose en caso contrario [8]. Este intervalo de aceptación se denomina zona de conformidad. &lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.e-medida.es/documentos/Numero-2/metrologia_y_ensenanza/mye8.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;220&quot; src=&quot;http://www.e-medida.es/documentos/Numero-2/metrologia_y_ensenanza/mye8.jpg&quot; width=&quot;400&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
La zona de conformidad se obtiene reduciendo el intervalo de 
tolerancia especificado en el valor de la incertidumbre en cada extremo. Para aplicar este criterio, el intervalo de cobertura 
(también llamado intervalo de incertidumbre) debe ser varias veces 
inferior al de tolerancia. De otra forma, la aplicación de este 
procedimiento supondría el rechazo de muchos valores dudosos que, en 
realidad, serían admisibles.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Se observa pues que cuanto menor sea la incertidumbre de 
medida, mayor será la zona de conformidad (figura 4). Solo si el sistema
 de medida fuera totalmente exacto y las magnitudes de influencia 
estuvieran estrictamente controladas, todas las decisiones de 
conformidad serían correctas y los riesgos serían nulos. Pero cualquier 
incremento de la incertidumbre de medida incrementa a su vez la 
probabilidad de tomar una decisión incorrecta (declarar al producto 
conforme cuando no lo es o declararlo no conforme cuando realmente si lo
 es), siendo dicha probabilidad tanto mayor cuanto más cerca estén los 
valores medidos de los límites del intervalo de tolerancia.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Lo ideal sería que la relación entre las longitudes del intervalo de tolerancia (&lt;i&gt;T&lt;/i&gt;) y del intervalo de cobertura (2&lt;i&gt;U&lt;/i&gt;,
 también llamado intervalo de incertidumbre) alcanzara un valor cercano a
 diez [8]. Valores mas altos supondrían aumentos exponenciales en el 
coste económico ligado a la realización de las medidas.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Las crecientes exigencias de calidad imponen la utilización 
de tolerancias cada vez más pequeñas y con frecuencia hay que trabajar 
con relaciones &lt;i&gt;T&lt;/i&gt;/2&lt;i&gt;U&lt;/i&gt; inferiores a diez. Sin embargo, 
valores de esta relación tolerancia/incertidumbre inferiores a tres [8] 
supondrían que la reducción en la longitud del intervalo de aceptación 
sería muy alta (la situación límite es cuando &lt;i&gt;T&lt;/i&gt;/2&lt;i&gt;U&lt;/i&gt; = 1
 en cuyo caso la longitud de la zona de aceptación se reduce a cero), 
dando lugar al rechazo de un número elevado de productos que realmente 
serían conformes con especificaciones.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
En las fabricaciones industriales habituales es relativamente fácil de lograr una buena relación &lt;i&gt;T&lt;/i&gt;/2&lt;i&gt;U&lt;/i&gt;. Sin embargo, existen campos, como el de la microelectrónica y las nanotecnologías, donde lo habitual es tener relaciones &lt;i&gt;T&lt;/i&gt;/2&lt;i&gt;U&lt;/i&gt;
 inferiores a tres. Esto indica que los métodos de medida que se están 
utilizando no han alcanzado aún el nivel de desarrollo requerido para 
poder para analizar correctamente la conformidad de los productos con 
las tolerancias especificadas ya que poseen aún una excesiva 
incertidumbre. Este
        hecho ha constituido el cuello de botella para el desarrollo de 
la fabricación a gran escala en los campos mencionados, siendo el de la 
microelectrónica el primero en mejorar sus
        métodos. En la actualidad es en la nanotecnología donde se está 
trabajando intensamente para mejorar las técnicas de medición y hacerlas
 comparables entre sí, reduciendo al mismo tiempo las incertidumbres de 
medida.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Pero no solo la incertidumbre influye, también la naturaleza 
del proceso productivo lo hace. Si el proceso produce elementos cuya 
propiedad de interés está muy centrada entre los límites de tolerancia, 
existe una menor probabilidad de tomar decisiones incorrectas. Por 
contra, si el proceso produce elementos con propiedades 
probabilísticamente cercanas a los límites de tolerancia, las 
incertidumbres asociadas a las mediciones entran en juego [4] siendo su 
importancia mucho mayor.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Fuente de origen: http://www.e-medida.es &lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/2145231301701985034/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2012/07/la-evaluaciond-de-conformidad.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/2145231301701985034'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/2145231301701985034'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2012/07/la-evaluaciond-de-conformidad.html' title='La evaluación de conformidad'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-3893808200222877173</id><published>2012-07-24T07:00:00.000-07:00</published><updated>2012-07-24T07:00:32.806-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>La Metrología, motor de innovación tecnológica y desarrollo industrial</title><content type='html'>La metrología, definida como ciencia que se ocupa de las medidas, es una disciplina situada horizontalmente
        en la base del conocimiento, que juega un papel primordial en campos tales como la investigación
        y el desarrollo, la fabricación industrial, la medicina, las telecomunicaciones, el comercio, etc. El progreso
        de la ciencia siempre ha estado íntimamente ligado a los avances en la capacidad de medición.&lt;br /&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.eoi.es/blogs/carolinamarielrojas/files/2012/02/innovation2.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;200&quot; src=&quot;http://www.eoi.es/blogs/carolinamarielrojas/files/2012/02/innovation2.jpg&quot; width=&quot;200&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
En este artículo se presenta una visión de la evolución en paralelo de ciencia y metrología, las actuales
        necesidades de la sociedad en materia metrológica y sus retos futuros. También se analiza el papel de la
        metrología en la I+D y su impacto en el desarrollo industrial y económico de los países.&lt;br /&gt;
&lt;br /&gt;
Para mas información ver:&lt;a href=&quot;http://www.e-medida.com//documentos/la-metrologia-motor-de-innovacion-tecnologica-y-desarrollo-industrial&quot; target=&quot;_blank&quot;&gt; &quot;La Metrología, motor de innovación tecnológica y desarrollo industrial&quot;&lt;/a&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/3893808200222877173/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2012/07/la-metrologia-motor-de-innovacion.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3893808200222877173'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3893808200222877173'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2012/07/la-metrologia-motor-de-innovacion.html' title='La Metrología, motor de innovación tecnológica y desarrollo industrial'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-4403405940680661463</id><published>2012-03-31T04:45:00.000-07:00</published><updated>2012-03-31T04:47:31.314-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><category scheme="http://www.blogger.com/atom/ns#" term="Procalmet"/><title type='text'>CÁLCULO DE LÍMITES DE CONTROL PARA  CALIBRES LISOS</title><content type='html'>&lt;br /&gt;
&lt;h1&gt;

&lt;span style=&quot;font-family: Calibri; text-align: justify;&quot;&gt;&lt;span style=&quot;font-size: small;&quot;&gt;Aplicando la norma UNE 4033-1983 “Tolerancias de
fabricación y desgaste de calibres”, vamos ha realizar el cálculo de los
límites: superior, inferior y de desgaste de un tampón liso P-NP.&lt;/span&gt;&lt;/span&gt;&lt;/h1&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;b&gt;&lt;u&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;TAMPÓN LISO P-NP&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/u&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;Diámetro Nominal =20
mm &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;ToleranciaSup=0,06 mm
&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;ToleranciaInf=-&lt;st1:metricconverter productid=&quot;0.01 mm&quot; w:st=&quot;on&quot;&gt;0.01 mm&lt;/st1:metricconverter&gt; &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiYCddA_8yvHxOquH5B2xlzFPr5MCcdoLbo26ggt15hQ9um7ZayTZVfKg8mGHQPbdlTTtEaT8t1UCp9-OCvwEuObUb_H6ATVV4Z8OfHlKu-Bdnlu6_k2ZpwRDEhyphenhyphenG_eq50g7ZSw9hYGk7Sz/s1600/LimitesTampon.JPG&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;320&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiYCddA_8yvHxOquH5B2xlzFPr5MCcdoLbo26ggt15hQ9um7ZayTZVfKg8mGHQPbdlTTtEaT8t1UCp9-OCvwEuObUb_H6ATVV4Z8OfHlKu-Bdnlu6_k2ZpwRDEhyphenhyphenG_eq50g7ZSw9hYGk7Sz/s320/LimitesTampon.JPG&quot; width=&quot;262&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;T=TSup-TInf=0.07
mm&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;o:p&gt;&amp;nbsp;Atendiendo a la figura anterior:&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div align=&quot;center&quot; class=&quot;MsoNormal&quot; style=&quot;text-align: center;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;LIMITES
PASA: &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; (K+z)± H/2&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;LIMITES
NO PASA: &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; G ± H/2&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;LIMITE
DE DESGASTE  &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;span class=&quot;Apple-tab-span&quot; style=&quot;white-space: pre;&quot;&gt; &lt;/span&gt;K-y&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;b&gt;&lt;u&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;DATOS PARA EL CÁLCULO&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/u&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;K= D –
Tinf = 20 – 0.01 = &lt;st1:metricconverter productid=&quot;19.99 mm&quot; w:st=&quot;on&quot;&gt;19.99 mm&lt;/st1:metricconverter&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;z= (Tabla
2 UNE 4033)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;H =
(Utilizando Tablas 1 y 2 de &lt;st1:personname productid=&quot;la UNE&quot; w:st=&quot;on&quot;&gt;la UNE&lt;/st1:personname&gt;
4033)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;y= (Tabla
2 UNE 4033)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;G= D +
TSup = 20 + 0.06 = &lt;st1:metricconverter productid=&quot;20.06 mm&quot; w:st=&quot;on&quot;&gt;20.06 mm&lt;/st1:metricconverter&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhIAkx-s2poBe7BOip-Q1BkjDfENfdzlQP9gg2M30A-LRzeafZdYCvDgkOHIFCd0Q5Z1xHlZPdTkDb9fXIX_2EO8imJNaqWLsugZAaB6aFBanS9vBI8T_CO-EzhcRRobXR4cYEKH-iPuU5c/s1600/Tabla+2+UNE4033_1.JPG&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;130&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEhIAkx-s2poBe7BOip-Q1BkjDfENfdzlQP9gg2M30A-LRzeafZdYCvDgkOHIFCd0Q5Z1xHlZPdTkDb9fXIX_2EO8imJNaqWLsugZAaB6aFBanS9vBI8T_CO-EzhcRRobXR4cYEKH-iPuU5c/s400/Tabla+2+UNE4033_1.JPG&quot; width=&quot;400&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;Como T=70
micras, seleccionamos una calidad de tolerancia IT 10 de donde obtenemos:&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;z = &lt;st1:metricconverter productid=&quot;0.009 mm&quot; w:st=&quot;on&quot;&gt;0.009 mm&lt;/st1:metricconverter&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;y = &lt;st1:metricconverter productid=&quot;0 mm&quot; w:st=&quot;on&quot;&gt;0 mm&lt;/st1:metricconverter&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;Para
obtener H tendremos que mirar en la tabla 1 de dicha norma donde atendiendo a
la calidad de tolerancia (IT 10) obtendremos el valor de H en la tabla 2.
(H=0.004 mm)&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdawCjzrL0D6oC5-Vmeb2TLiRfcopdqXjZPBPtMNuL26FpiccSKE1N08b1_9HO18Qcgg_aZaO2y11mrKUVvaV1cuLNB-KnfhjsOpINz7O1wDoVEwjxvO4TpxSMEuX1DsptCmYdDlslxMBp/s1600/Tabla+1+UNE4033.JPG&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;120&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgdawCjzrL0D6oC5-Vmeb2TLiRfcopdqXjZPBPtMNuL26FpiccSKE1N08b1_9HO18Qcgg_aZaO2y11mrKUVvaV1cuLNB-KnfhjsOpINz7O1wDoVEwjxvO4TpxSMEuX1DsptCmYdDlslxMBp/s400/Tabla+1+UNE4033.JPG&quot; width=&quot;400&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div align=&quot;center&quot; class=&quot;MsoNormal&quot; style=&quot;text-align: center;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgV7NGvPD6WzC2WYo7eR1JPbO9NSaoCGs7mPaaAi3ewUpANfvDQxHkI6Z9gBQAfBwbdzZcOci-hP9vNW9_knjf_lvBrhppu_lK-tY449O7zeUzFXztmheB-L2cQ8gAQ7caopJM726bGgZ9n/s1600/Tabla+2+UNE4033_2.JPG&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;241&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEgV7NGvPD6WzC2WYo7eR1JPbO9NSaoCGs7mPaaAi3ewUpANfvDQxHkI6Z9gBQAfBwbdzZcOci-hP9vNW9_knjf_lvBrhppu_lK-tY449O7zeUzFXztmheB-L2cQ8gAQ7caopJM726bGgZ9n/s320/Tabla+2+UNE4033_2.JPG&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;Sustituyendo los valores en las expresiones anteriormente
indicadas, obtenemos los valores de los límites para los lados pasa y no pasa y
además el límite de máximo desgaste del tampón.&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;LIMITES LADO PASA:&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;LIMITE
INFERIOR: &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;(K+z) - H/2=&amp;nbsp;
(19.99+0.009)-0.002 =19.997 mm&lt;/span&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;LIMITE SUPERIOR: &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;(K+z) + H/2=&amp;nbsp;
(19.99+0.009)+0.002 =20.001 mm&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;LIMITES LADO NO PASA:&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;LIMITE
INFERIOR: &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;(G) - H/2=&amp;nbsp;
(20.06)-0.002 =20.058 mm&lt;/span&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify; text-indent: 35.4pt;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;LIMITE SUPERIOR: &amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; &lt;/span&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;(G) + H/2=&amp;nbsp; (20.06)+0.002
=20.062 mm&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;LIMITE DE DESGASTE:&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;span class=&quot;Apple-tab-span&quot; style=&quot;white-space: pre;&quot;&gt;  &lt;/span&gt; &lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;(K-y) =&amp;nbsp; (19.99-0) =19.99 mm&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-family: Calibri;&quot;&gt;NOTA: Este
procedimiento varia dependiendo del tipo de calibre liso, como en el caso de
anillos lisos o calibres herraduras. &lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;Con nuestra aplicación Calibro, estos límites se obtienen
de forma rápida y sencilla solamente indicando tipo de calibre liso, su
diámetro nominal y las tolerancias inferior y superior. (Como puede verse en la figura siguiente)&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSsM4Sw_T27ihip0w-XFxqWefEFQTyl7LE45mLx0Szomd9zUFSc2XshOtj7ppsxlI9gvHhLffbZTpDVU1YBFIjojdvQheap25Tg6KUwc3o6dTagQszblYwaj7to9Rjae7yjwTxRhumUE8i/s1600/CalibroCalculoLimites.JPG&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;383&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiSsM4Sw_T27ihip0w-XFxqWefEFQTyl7LE45mLx0Szomd9zUFSc2XshOtj7ppsxlI9gvHhLffbZTpDVU1YBFIjojdvQheap25Tg6KUwc3o6dTagQszblYwaj7to9Rjae7yjwTxRhumUE8i/s400/CalibroCalculoLimites.JPG&quot; width=&quot;400&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div align=&quot;center&quot; class=&quot;MsoNormal&quot; style=&quot;text-align: center;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Calibri;&quot;&gt;Para más información sobre nuestras aplicaciones ir a &lt;a href=&quot;http://www.procalmetsl.es/&quot; target=&quot;_blank&quot;&gt;&amp;nbsp;www.procalmetsl.es&lt;/a&gt;&lt;span style=&quot;font-size: x-small;&quot;&gt;&lt;o:p&gt;&lt;/o:p&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/4403405940680661463/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2012/03/calculo-de-limites-de-control-para.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4403405940680661463'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4403405940680661463'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2012/03/calculo-de-limites-de-control-para.html' title='CÁLCULO DE LÍMITES DE CONTROL PARA  CALIBRES LISOS'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiYCddA_8yvHxOquH5B2xlzFPr5MCcdoLbo26ggt15hQ9um7ZayTZVfKg8mGHQPbdlTTtEaT8t1UCp9-OCvwEuObUb_H6ATVV4Z8OfHlKu-Bdnlu6_k2ZpwRDEhyphenhyphenG_eq50g7ZSw9hYGk7Sz/s72-c/LimitesTampon.JPG" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-3571739483471002127</id><published>2012-02-20T01:15:00.000-08:00</published><updated>2012-02-20T01:15:51.173-08:00</updated><title type='text'>Calibración de un pie de rey</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;iframe allowfullscreen=&#39;allowfullscreen&#39; webkitallowfullscreen=&#39;webkitallowfullscreen&#39; mozallowfullscreen=&#39;mozallowfullscreen&#39; width=&#39;320&#39; height=&#39;266&#39; src=&#39;https://www.youtube.com/embed/Yyas3OV74ik?feature=player_embedded&#39; frameborder=&#39;0&#39;&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;br /&gt;
NOTA: Al realizar las reiteraciones en un punto es conveniente ir cambiando la posición de la medida a lo largo del bloque patron.</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/3571739483471002127/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2012/02/calibracion-de-un-pie-de-rey.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3571739483471002127'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3571739483471002127'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2012/02/calibracion-de-un-pie-de-rey.html' title='Calibración de un pie de rey'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-4519318161734246425</id><published>2011-12-24T03:07:00.000-08:00</published><updated>2011-12-24T03:09:02.262-08:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Procalmet"/><title type='text'>Procalmet os desea felices fiestas.</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixmaMn1RAqTo9JWL5T9ufzWCtOOPucmFSKyz70QchbGp5yfA4rM4e2Q8tLseXTv-cxHwSHz_oSvOXffVifEyfCQELv3MrNpYqlB5QcykYT4FTSJklcL7vA43s2hQhVmQWkO-V4IgbsFj0O/s1600/Felicitaci%25C3%25B3n+2011.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;262&quot; src=&quot;https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixmaMn1RAqTo9JWL5T9ufzWCtOOPucmFSKyz70QchbGp5yfA4rM4e2Q8tLseXTv-cxHwSHz_oSvOXffVifEyfCQELv3MrNpYqlB5QcykYT4FTSJklcL7vA43s2hQhVmQWkO-V4IgbsFj0O/s400/Felicitaci%25C3%25B3n+2011.jpg&quot; width=&quot;400&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/4519318161734246425/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/12/procalmet-os-desea-felices-fiestas.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4519318161734246425'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4519318161734246425'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/12/procalmet-os-desea-felices-fiestas.html' title='Procalmet os desea felices fiestas.'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEixmaMn1RAqTo9JWL5T9ufzWCtOOPucmFSKyz70QchbGp5yfA4rM4e2Q8tLseXTv-cxHwSHz_oSvOXffVifEyfCQELv3MrNpYqlB5QcykYT4FTSJklcL7vA43s2hQhVmQWkO-V4IgbsFj0O/s72-c/Felicitaci%25C3%25B3n+2011.jpg" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-8107203197868831756</id><published>2011-11-24T01:18:00.001-08:00</published><updated>2011-11-24T01:40:58.503-08:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Hablemos de la fotogrametria...</title><content type='html'>&lt;div style=&quot;text-align: justify;&quot;&gt;
La &lt;b&gt;fotogrametría&lt;/b&gt; es una técnica para determinar las 
propiedades geométricas de los objetos y las situaciones espaciales de 
seres vivos a partir de imágenes fotográficas. Puede ser de corto o 
largo alcance.&lt;/div&gt;
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&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
La palabra fotogrametría deriva del vocablo &quot;fotograma&quot; (de &quot;phos&quot;, 
&quot;photós&quot;, luz, y &quot;gramma&quot;, trazado, dibujo), como algo listo, disponible
 (una foto), y &quot;metrón&quot;, medir.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Por lo que resulta que el concepto de fotogrametría es: &quot;medir sobre 
fotos&quot;. Si trabajamos con una foto podemos obtener información en 
primera instancia de la geometría del objeto, es decir, información 
bidimensional. Si trabajamos con dos fotos, en la zona común a éstas 
(zona de solape), podremos tener visión estereoscópica; o dicho de otro 
modo, información tridimensional.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Básicamente, es una técnica de medición de coordenadas 3D, también llamada captura de movimiento,
 que utiliza fotografías u otros sistemas de percepción remota junto con
 puntos de referencia topográficos sobre el terreno, como medio 
fundamental para la medición.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
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&lt;iframe allowfullscreen=&#39;allowfullscreen&#39; webkitallowfullscreen=&#39;webkitallowfullscreen&#39; mozallowfullscreen=&#39;mozallowfullscreen&#39; width=&#39;320&#39; height=&#39;266&#39; src=&#39;https://www.youtube.com/embed/3iu-2tKWfVA?feature=player_embedded&#39; frameborder=&#39;0&#39;&gt;&lt;/iframe&gt;&lt;/div&gt;
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&lt;br /&gt;&lt;/div&gt;
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Los sistemas de fotogrametría funcionan como sistema portátil de medición 
3D por puntos&amp;nbsp; y permite realizar inspección y control de calidad 
en la misma planta de producción. En general&amp;nbsp; el sistema está compuesto sólo de
 una cámara fotográfica que es fácilmente transportable al lugar donde debe 
realizarse la medición evitando tener que desplazar los objetos a las 
salas de edición o laboratorios de metrología. &lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
La gran ventaja de los sistemas de fotogrametría es su capacidad para 
medir objetos de gran tamaño manteniendo una gran exactitud en la 
medida, de hasta 15 µm/m.&amp;nbsp;&lt;/div&gt;
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&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Así pues, con este sistema podremos medir objetos de hasta varios metros
 de tamaño como por ejemplo, alas de avión, aspas y bujes de molinos de 
viento o boggies de tren.&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;br /&gt;
Para realizar la medición, se
 deben colocar “targets” en todos los puntos a medir. Se proporcionan 
adaptadores para diferentes características a medir como agujeros, 
cantos o puntos específicos de referencia.Posteriormente, el 
objeto deberá fotografiarse desde diferentes ángulos y planos y en 
distintas direcciones. Estas imágenes son posteriormente procesadas con 
el propio software de gestión del sistema.&lt;br /&gt;
&lt;br /&gt;
El sistema calcula 
automáticamente las coordenadas 3D de todos los puntos con “targets”. El
 cálculo se basa en el principio de triangulación espacial de imágenes 
(fotogrametría) y es totalmente automático. No se requiere pre-calibrar 
la cámara ya que el software utiliza un proceso de calibración integrado
 que funciona simultáneamente con el procesamiento de datos.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/8107203197868831756/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/11/hablemos-de-la-fotogrametria.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/8107203197868831756'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/8107203197868831756'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/11/hablemos-de-la-fotogrametria.html' title='Hablemos de la fotogrametria...'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-5736584693511762879</id><published>2011-11-24T01:00:00.001-08:00</published><updated>2011-11-24T01:06:26.851-08:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>La medida de magnitudes angulares</title><content type='html'>&lt;br /&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;img align=&quot;RIGHT&quot; border=&quot;1&quot; hspace=&quot;8&quot; src=&quot;http://www.aimme.es/imagenesbd/informativo/magnitudes_angulares.jpg&quot; /&gt;
     Existen diversos instrumentos o sistemas de medición de uso 
generalizado en la industria para la medición de magnitudes angulares. 
Entre ellos, se pueden destacar los transportadores de ángulo, los 
proyectores de perfiles y las medidoras de coordenadas.&lt;br /&gt;
&lt;br /&gt;
Para la 
calibración de estos equipos se recurre a la utilización de&amp;nbsp; patrones 
que materialicen con gran precisión magnitudes angulares conocidas.&amp;nbsp; Los
 bloques patrón angulares utilizados deben tener una incertidumbre 
del orden de varios segundos de arco, lo que permite que la 
incertidumbre resultante de las calibraciones en las que intervienen, 
sea adecuada a la capacidad de medida requerida. Concretamente, para la 
calibración de proyectores de perfiles y medidoras de coordenadas, que 
son equipos que poseen una gran resolución para la medición de ángulos, 
se precisa disponer de patrones de ángulo con baja incertidumbre. En 
caso contrario, la incertidumbre obtenida en la calibración estaría 
fuertemente condicionada por la incertidumbre de estos patrones, y no 
sería fiel reflejo de las características metrológicas reales del equipo
 calibrado.&lt;br /&gt;
&lt;br /&gt;
Los instrumentos más sencillos empleados en la medición 
de ángulos, los transportadores de ángulo y otros equipos de 
características similares, suelen tener una forma constructiva que 
permite medir valores angulares por cuadrantes. De este modo, aunque el 
alcance de los mismos sea 360°, se pueden calibrar con el uso de 
patrones que no superen los 90°, ya que realizando la calibración en uno
 de los cuadrantes ( de 0° a 90° ), las reglas o elementos de enrase de 
estos transportadores materializan ángulos complementarios y opuestos 
que cubren todo el alcance del transportador. Así, con la oportuna 
comprobación de la rectitud de las reglas del transportador, los 
resultados de la calibración realizada sobre uno de los cuadrantes se 
pueden extrapolar a todo el campo de medida del instrumento.&lt;br /&gt;
&lt;br /&gt;
El 
razonamiento expuesto anteriormente no puede generalizarse con el mismo 
rigor a la calibración de equipos como los proyectores de perfiles o las
 medidoras de coordenadas, ya que en ellos la medición de ángulos no 
siempre responde a una sistemática como la descrita en el caso de los 
transportadores de ángulo. Por tanto, además de los requisitos mínimos 
exigibles a los transportadores de ángulo, como son la calibración con 
patrones certificados y con una incertidumbre adecuada, se debería 
asegurar que los patrones empleados en la calibración cubren de forma 
efectiva el campo de medida del instrumento a calibrar ( de 0° a&amp;nbsp; 360° 
).Para ello se puede utilizar la combinación de bloques patrón angulares e incluso polígonos patrón, de esta forma  se puede dar respuesta satisfactoria a la calibración de medidoras de 
coordenadas, proyectores de perfiles, transportadores de ángulo y otros 
equipos similares, sin restricciones en el alcance de la calibración.
     &lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/5736584693511762879/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/11/la-medida-de-magnitudes-angulares.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/5736584693511762879'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/5736584693511762879'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/11/la-medida-de-magnitudes-angulares.html' title='La medida de magnitudes angulares'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-8065629927634137890</id><published>2011-10-29T01:45:00.000-07:00</published><updated>2011-10-29T01:48:17.985-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Hablemos del reloj comparador...</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;/div&gt;
&lt;h2 style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;


&lt;span style=&quot;font-size: small;&quot;&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Lectura_del_reloj_comparador&quot;&gt; &lt;/span&gt;&lt;/span&gt;&lt;/h2&gt;
&lt;br /&gt;
&lt;br /&gt;
Un &lt;b&gt;reloj comparador&lt;/b&gt; o &lt;b&gt;comparador de cuadrante&lt;/b&gt; es un instrumento de medición de dimensiones que se utiliza para comparar cotas mediante la medición indirecta del desplazamiento de una punta de contacto esférica cuando el aparato está fijo en un soporte. Constan de un mecanismo de engranajes o palancas
 que amplifica el movimiento del vástago en un movimiento circular de 
las agujas sobre escalas graduadas circulares que permiten obtener 
medidas con una precisión de centésimas o milésimas de milímetro (micras). Además existen comparadores electrónicos que usan sensores de desplazamiento angular de los engranajes y representan el valor del desplazamiento del vástago en un visualizador.&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://upload.wikimedia.org/wikipedia/commons/3/3f/Comparateur0.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;320&quot; src=&quot;http://upload.wikimedia.org/wikipedia/commons/3/3f/Comparateur0.jpg&quot; width=&quot;213&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
La esfera del reloj que contiene la escala graduada puede girarse de 
manera que puede ponerse el cero del cuadrante coincidiendo con la aguja
 y realizar las siguientes medidas por comparación. El reloj comparador 
debe estar fijado a un soporte, cuya base puede ser magnética o fijada 
mecánicamente a un bastidor.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Es un instrumento que permite realizar controles dimensionales en la fabricación de manera rápida y precisa, por lo que es muy utilizado en la inspección de la fabricación de productos en series grandes.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://upload.wikimedia.org/wikipedia/commons/a/aa/FingerTestIndicator513-404.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;164&quot; src=&quot;http://upload.wikimedia.org/wikipedia/commons/a/aa/FingerTestIndicator513-404.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Una variante de reloj comparador es el reloj palpador que se utiliza en metrología para la comprobación de la horizontalidad de piezas mecanizadas. El reloj palpador va fijado a un gramil
 que se desliza sobre un mármol de verificación y con ello se pueden 
leer las diferencias de planitud u horizontalizad que tiene una pieza 
cuando ha sido mecanizada. &lt;/div&gt;
&lt;span style=&quot;font-size: small;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;br /&gt;
&lt;h2 style=&quot;font-family: inherit;&quot;&gt;


&lt;span style=&quot;font-size: small;&quot;&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Lectura_del_reloj_comparador&quot;&gt;Lectura del reloj comparador&lt;/span&gt;&lt;/span&gt;&lt;/h2&gt;
&lt;h2 style=&quot;text-align: justify;&quot;&gt;


&lt;span style=&quot;font-family: inherit; font-size: small;&quot;&gt;&lt;span style=&quot;font-weight: normal;&quot;&gt;En la esfera del reloj comparador hay dos manecillas, la de menor tamaño
 indica los milímetros, y la mayor las centésimas de milímetro, primero 
se mira la manecilla pequeña y luego la mayor, Cuando la aguja esté 
entre dos divisiones se toma la más próxima, redondeando la medida a la 
resolución del instrumento:&lt;/span&gt;&lt;/span&gt;&lt;span style=&quot;font-size: small;&quot;&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Lectura_del_reloj_comparador&quot;&gt;&lt;span style=&quot;font-weight: normal;&quot;&gt; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/h2&gt;
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V/d6eHjo5OSkoI8WYCsAxwC8Bji2o9kTRXd+fj41lWJpibK2lsrMVBkYMB8cNO/vxz95gu/txfX04Lq6zDo7zdrbsW1t2JaWF8qu11QsLtbPydFJS9NMStKg0dRjYtSio9USEtTj4lDx8WpJSRqZmVqbaipGRalERCiHhyuTyddDQ6+HhCjZ2V1VUTmrqSnn4eE8Pj4u6OMH2BjgGIDXAMd2B7u86D58WGJvb2RlJXX/vs7kJGFiwnJszHJ01GJ42GJoyHxgwLy/H9/Xh+/txa1tKj56ZJSSqk0iq3v6oLz9NH2DdH2D9QNCjcLjzJJuWmfdcbpZ6HS33ONehde9Cq+75R43C52y7jglZlmTY7C+wYaefno3fLSd3VEOzspuHsoBAdfj4lS5aSqGhl4nkZSCg5WCghSdnSXV1M5raipQKDHz8/OCPpwANgDHALwGOLab2J1Fd3Z2lkz2sbJSSEtTnZkhzs5azcwQp6eJU1OEyUnC+Ljl6KjlyIjF0JAFvKlYX49JTdXxD9QIJOkGhhpS0gilDb7dU9ETDBqHTI6FTY6FcX5O91T0w3rf2CQLTz891xua9k7KXt5K0dGqGzYVIWUDAhQtLS8rKV2wsDDp7u4W9NEFMBj8dYybAMd2H8CxXcluK7o9Pd3OziZubtc6O9FLSzYLCzbz89bPn1vPzlo9e2Y1PU18+pQIbyr29OBuZesFkbRCwg3iUyyrOoLGVqibEnHx8pHFy0c29StjK9TK9uBICt7dW8fOUcXjhmJUlArnpmJgoGJAgMKNG7Io1DktLcWCggJBH+m9C/8d20KAYzsa4NguZvcU3ba2Vjs7fRJJfnaWuLJiy2DYrazYLi3ZLC6+8HVuzorZVOzqMqPSdEPC9KKpZhVtgeP0rQu69OMnSz9+suVfH6dTy1sDQ6JMnd3VHZ2UQkOvc24q+vsr+PoqGBldQKFksrIyBH3U9xaCcmybAY7tIIBju57dUHR7errs7PQiIhRnZ4lLSzZLSzbLy7YrK7Z0ui2dbru8bMtsKo6NEVLT9Unh+tQMQtdE1JYNg7ciF374eOGHj9n+aLPpHI+Mopo7uak7OCmGhSlzaCr6+Sn4+spjMJdVVCRu3swU9BnY/QjWscHncYPP44BjuxvgmKDPAJ/Y2UV3YmLCzc0sKEh+ZoY4P289P2+9sGCzuGgDVxZqKtbUYsKjdGMTcR1jkVvQKCWPAH9o6SD38uGX7058+S7zIdHpGvyZybmWW3i5tpHwkEiMnaOKp5ci56aij488Gn1JQ+NaVVWFoM/G7kQYHLtVbHer2A44tlsBju0px3Zq0V1eXg4N9XR3vzY8jJ+dtZqbs3r+3Hqtr/Pz1nm3jcJjjArLPMbpm9Cl4LHznXIX5kO8rQz8pzgb6ZcPVxfdVT9a/YsFj50LK1y5fw/jdFpuiaurp5azi2J4OKemopeXvLb2RTRaa2RkRNBnZvcgPI6xXBCBY7sG4NgedGxHFt3Hjx8QCAoNDeiZGeKzZ1azs1aQr3Blnz4lpqTph8eg63tDuJTDK0ST+XXLcKiLryrzoWewRvMgib2R6xfd5kGSZ7AG86GLr2rLcCjzoU+oFpdvrLY7xDtA395RMTT0Ooemoru7rKrq5ZCQADqdLuhTtOMRKsc4XBCBYzsX4NjedGyHFd3Z2Vl3dyyFojI1RXj6lDg9TZyeJrIoOzVFTEnVj6ZiNxwlf6/KrXf65R0RU4Ik/Kfwh0k5lnkPHdkayaHo5j10TMqx5Obvd09FFte4c363XZORviFGDk6KoaHX12sqenvLEwiiKJRMU1OjoM/VTkUIHeNwQQSO7USAY3vZsZ1UdEtKCm1tFXp7sZOThMlJwlpfnz2zupltGBmP6RyP4HzioTyovxESa8B8GBxj8KjJi/nQzEqK+fXjZm9yghFbIzkUXXKC0eNmb7Z/8FGTV3DMy5cOiTV4UH+Dm/fcMRbhHWjg6KzEoano5SWvqXnJ399rtzYVeYdwOsbhgggc23EAx/a4Yzuj6C4tLXl6WtFoqqOjlmNjluPjlhMTlizKPniIDo00aOwP5XyyWQYIoM3FmV839od4BKozH5rbyQ4vJkBfD87HWbsosDWSQ9G1dlEYnH8xIHB4McHcTpb5I49A9cb+ELZvY4JBs3KW5/wpGvpILjc03T0UOTQVicSrWlryT570Cfrs7QyE2TEOF0Tg2A4COAYcY+yIovvkSY+trWpTk/HIiMXoqMVaX7u6zMKi9IqrPNc7taPLFObXvmRteKvN0kHuybMY5kOMpQTz66hkzL0qN+ZD+FACLosu/FfuVblFJWPYvtCTZzHwYYSPm719ydrMhxzG7hc88nBwQfn7K67XVPT0vKalJZqbmyXocyjsCLljHC6IwLGdAnAMOAYh7EW3sDDbw0NhYMB8aMh8aMhieNgCruzYmGXmTX1quiVcR5Z0T0XCW4V9M9FwhworXCMTTZgPsURJphyVHX5+4TrryfpyHjqs6I7TqevJ6heuU9nhx/QPS3x5IyQy0QQ+GhBvK9M3E73eQ5aMLFHIsVgnFyUSad2moomJqLu7/S7rokEQ4XcMfkEEju1EgGPAMSZCXXTDwrxSUlD9/XhoPw0WX5ubzUjh+g19Gw/qM7OSgp9vjKXE0EI886Ex/irz6wgauqjanWke/O4F3Dwnb5XOid9ut8CKbudEhJO3CttfMbOSYvpdVO0eQUOzfQNDC/HwxmPfTDT8PayX2q5gRzd1Dk1FW1sJAwPVZ8+eCfqUCh07wjH4BRE4tuMAjgHH4Ahp0V1aWnJzMy0u1u3rwz95gu/vx7Mom51jkJhJWG/KWn6pI3waeG1PINyhgjLncOpLV3A20sylWNpGw+DPZJGVaVtApF5Vp/+LH8GKblWnf0CkHtN1FlnhrreNvtgjYfB5HPxp4VR0QZkz/Jm1PYHMh4nZFvCfwjNOp0VR8W7u6w4IdHeX1dSUHhh4IuhzKyzsIMfgF0Tg2A4COAYcW4swFt2nT6dsbDRqa416e3G9vTgWX7u6zMIidSvbAtieM2a0jS7C7yIY46/CW4X6pleYX+c+cIhLN2M+hI+AxxIlmYImZlsw75o0DYQMzMVOrCm6A3OxTQMhzK+Zy7iM01f1w8BfIi7dDD6IH/7Ghhbi4Y3HsRWqttFFzp/6UaOvo4taSIgS26ait7e8pqZ4ZWW5oM+w4NlZjsEviMCxnQJwDDjGFqErumNjIw4Oqm1tpl1dZt3duJ4eHFzZyip0eCx6aD5+7Xm6V+XGbHZNMGh3yl2YjbUJBu1hgyf8rr5nsAbzzsQ4nQofdGdmJcW8s1Le5svhLsuLrB5IxTZjK9SyFh/o69FlCry1aGIhzvz3UNnhB5+E7kvWftjwclRFQKQefHGZluHQ+7Uea19raD7eO0DPz09pvaaisbH4/ftFgj7PgmTHOcYyyAU4JvwAx4Bj6yFcRffJkyeOjsptbaadnWZdXWYsvubkGabl2qwnRPdUJLw9NcGgGeOvvvz/KIOmb3qF2Wbsnoq0sH858N3MSoo5qr51hLy5zTq4KLrwjNOp7b/tvzu8mAAX18Jetnsqkuk3vLU4MBe79tMxn7w2ccmWHp7rLvtiYiJx+3aOoM+2YNiJjnFzQQSOCQ/AMeAYB4So6Pb0dLu4KLe2YtvasO3t2I4OLFxZaqJ+ab0PZw+ikjHwWyA13QGOnsrMh/mljvBbICYW4iNLLwTNvGsDX3Jlc9lk0YUnMdsi8+6Lf34jSwkmFi8bquFUdH7py+4aR0/lmu6XPVEpeQT4wH22uVfp6eqhst5Kp1isREZGsqDPOb/ZoY5t9oIIHBMgwDHgGGeEpeg+efLE2fl6S4tpa6tpW9sqXzs6sBHRek0DbGaLl7X4wBdYmWDQdE0uw1uFeFuZ1hEy/KfMrwvKnEvqXiyeMrpMYVnbbBPZRtHFWEowG60ldTdySuzZvtXWETJ8kMLAXCz8pxMMWlC0fkW739q/39BLcnZXCwtjv7kHFitx+3a2oM88/9i5jm3ngggc4yfAMeDYhghF0R0ZGXJ0VG5qMm1uNm1pMYUr29iIIUca9M3ErHe+LexlmXc1Jhi0+r4g+ATtzokIeL9Hcq7lei1BjKXExrdv2WarRZfDv5CkHEv4XlpmVlIvZygxaJYOcvV9QcyHFe1+q7YaXJ3e6Wg3T00y+TrbpiIWK3n/fqGgzz8/2NGObfmCCBzjJ8Ax4Bg3CL7oTk1NEokK9fWYxkZMUxOmufmFsq2tpnV1pmHRRiNLnBwaWohH6Yow72RMMGiewRrMOWoTDJqrnxrz5v8Eg8b2pv0Eg5aSR0i/Y70F57ZcdNMKrFLziWx/xGy6TjBoZS0+rn5qzIdF1e7wQQpDC/HqeiLwAY1rM7yY4OWvQyJdZ7ufpbGxeHn5Y0FbwFt2umNbviACx/gGcAw4xiUCLrqLi4t4vHJVlVFDg0lDwypfq6pMIuLQa1tt43SqttFF5m2MCQatvM0X3kQaW6FqGlxg/uLgfJwBVnRDdVjGAmwiWy26pgRJ+L+x9WJoJsZc+HR0maJpcAE+hcDSQQ7eITOylKBjfGntHxlZovgG6ZNIKhERbPaz1NER39Hz3jizCxzb8gUROMYfgGPAMe4RcNH18MA9eKBbW2tSV2dSX2/CVLaiAh2VgFlvuc7yNl/4dLEJBo0UZwhvbZXU3XDzRzEfwpfk5pD+2XU7fzhlq0UXfs+GQ+BbV7r5o+CNx9R8IinOEP5kLFGyvM2X7d8ZW6H6kwxDQ1UiIpRZmoqBgYr6+nKzs7OClYFH7ALHtnxBBI7xB+AYcIx7BFl0g4JcsrM1a2rQtbVouK/l5eiIWDSHBbInGLS0AiuWzZMNsKLw82rtogAfJsfDbGMg1aZS0x0A3yGkZTiUpeXrE6qVVmDF4S+MrVB9gwzCwlQiI1mbij4+ckZGqrtgXVMWdodj2xnkAhzjNcAx4NimEFjRzcvLiIy8XlVlXFWFrq5GM5WtrESTo4zWmhpBWzX0fIJB8yVrw89N73SUttFF5tS0wedx8Lv0vMvCDx8v/PAxH16oaSCE2YaF+qbgO1enFVjBZ81PMGj5pY7wlVGhjCxRvAN0IyKUo6JYm4ouLtIeHvaC8oEX7BrHBp/HMVf4A44JFcAx4NhmEUzR7e3tcnC4VlFhXFlpDPe1pgYdEq6/3ogDU4Iky/ABll6IgjJn9wAU29/lUdz8USWvvfrkg3/y80Wh14UvXrq2n+p+rcd6QwpHliieftrR0arR0axNRRxOfGcNvufAbnLsz3/5I59fFDjGDcAx4NgWEEDRXVhYMDNTfPzYqKzMqLzcCK5sWKQefFdIlozTqfqmV+B2Di8maBpcgC9o4uStcrfSdb2/gHgOfPiv0UPvlP3pdX6aWljh6uyjynzYPRWpaXABPpahvM1X3/QKh/Vo+mZiXNxRsbGq0dEqLE1FXV2xXbBf9C5zLCnH8sOP/wMcEyqAY8CxrSGAouvsjM/P14RkhfsaHqnd2M86cxy+9soEgza6TNEyvADvb2kfC9M2usgc4zdOp2oaXOBgPLL5/e9/t3ji4/uvvMI3U/tmorUMLzBFHF2maBtdZK7HNsGg1fcFaRleYBktuXbZl4Y+kqu7SlycakzMqqZiSIiStra8kN8U2ZBd5tjQQvzrr/8OOCZUAMeAY1uD30X37t38gACF0lLD0lLDR48MmcpSaNoltV5rz83tR06mBEl4Y2dwPk5dTwS+PsvDBk/4nfnmQRLL8p68y+uv87voGuHEWoZe/pO2cpaHLybeOkJW1xNhDs2fYNDG6VRTguTtR05r/1RRlaevv0pcnBpLU9HVVTogwIvPYiDI7nOMzxdE4NiGAMeAY1uGr0V3enra3Fz2wQODhw8N4b7m5Ool31p3uNr9Wg89zBX4hLYnz2LUdM7Be2NYRsknZluwLKvGo3zw0b9HP3u7/M9/4I+p5AQjlpVo4GMfuqci1XTOwVvHI0sJepgr682jn2DQ4lIsyGTl+Hg1lqaisbFoU4khfUQAACAASURBVFMTP91Ail3pGCULf/DTt4FjQgJwDDi2HfhadK2tDW/f1iopMSgpMWAqW1xsEBJhzPkkVbT7aRtdhDd8OiciULoiHGakmdvJvtxnnmfxCFQvee3V/g//xQdTqzr94TuKsKR/NgalKwJfZW1wPk7b6CLLWqZrh1P6BevHxqolJKjBm4rh4cqamjLC2TnDmV3p2J//8kdvkhavXwg4xiXAMeDYduBf0S0quuPtLVtcrH//vj7cV79AzbX7SqrpnGM5yvV9QShdkb6ZaOZ3WoZCOVgCrSvGzVIp28zSj58s/fgJr19leDFBQ/88h2XSPIM14N01fTPRKF0RlskGFe1+a9d5GZqPd72BolJRFIoavKno5iZNIgXwTQ9E2K2O8SfAMW4AjgHHtgmfiu7i4iIaLXvvnl5RkX5RkT5T2ahozYpWNlO/R5YSTAmSLFOk20bDWBpBnFPW6kNwvMZrjfhTdIlO18paN9gRjBmo+QzfCnuCQUsrsDIlSMJ7t5h51Ojn66dKo6EoFBS8qairKzo2NsofQ7bPLnaMPwGObQhwDDi2ffhUdL29HZOS1O7e1YP7mp2tE59iweGg+5K1WZZr6Z6KROmKNA+SuDxtwTEGnBc32XJGFqn9swndk3Fzxz6eO/Zx92Rc/2zCyOImdo3mPmkFViGxBlw+uXmQhNIVYdkX2idUi2XKOUtiEs2jo1UTE1c1FcPDr2Ox2vwxZPvsYsdah2Jbh2KBYwIHOAYc2z78KLqjo6NmZlfv3NEtLNQrLNSDlL13T9/LT5tlDhZ8cyso6XesWdo1/bMx8NldG4bzSeIm43Ra61DsvZqwvApyVjk5tSw0sTw0qTospSk8tSNy7LuDY98dTO2ITGkKT6oiJ5aHppaF3qwg55aH3q0mtwzFjNO3+LpDC/ENT4InGLSASD3uf+tGkAb8FhHU1l678QhLe3OcTnPz1ExKUk9MVIc3FbFY0aqqCj5Isk12t2NpvdFpvdHAMcECHAOOIQI/ii6BYHjzpmZBgS7c15BQ9boe1vW7/cJ1LOxlWW5gVLT7aeif7xgP37Jtt4rtwqlo+PgFbtI1EXe3mnyznJxSQU7vi85dpOYzaGsz+eMnkz9+wvZHuYvU9L7olAryzXJyYTW5a2ITb+BelZuy5q9vvfMm5+2uOKdjPFxD/zzLXaXhxQQLe9kwCuugj7ruEG8flZQUjaQkdWZTMS5OTVdXkQ+SbJPd7RiHAMf4BnAMOIYIPC+6TU2NVlbi+fk6t2/r3r6tCymblaUVTcOzPb4V7X4oXRGW49vzNErb6GJpI5sJcBvGzR+1/71/nDn/9TdHP4Qv8rleBuYS7tWGZZST0zujcpc2FpRD0V0tLiWtIzKjgny3Jmzw+ca7THdNRux/7x8Jmbgtm1ra6KVtdLHn6aqPzPbwMhMRj01IQKWmaiQnv2wq2tuL37qVyWtPtsOud4zriyNwjFcAx4BjSMHzomtqqp6To52Xp5OfrwMpW1Cg6+WruXaDSWaGFxMsHeRYNnsaXaZYuyhsYUnu744fTMy2mGDQvv3+4DXl0xye2TgQc6uCnNIQHlafkTWXxKWFXBZdZnIWKCkN4VlloY0DnJabEZM+rm10ccumPnkWY+2iwHKQSXGGlg5yHEZCjixR3DzV09M1U1M14E1FHR0ZXnuyHXa9Y5sNcAxxgGPAMaTgbdFtamokEsVycrRzc3WYvkZHaxSWrZrmXNro1TXJOpYvJY9gaCbGTZuOc8ztZI+f/NTGVUHu+k9/f/O/2O6TVdMbnVkemtEfk8+g6XqX2qTeFTes5lHRZSajPyarnFzbG83yZsyspDCWEl8efn+z/Ugc0jsdZWgmBt+qE0rXZATLEq8Fj9zIYWoZGZppaRrMpqKjo0R2dhZPVdkye8GxLQc4hgjAMeAYgvC26GIwqMxMzexs7ZwcbaayXv66LIesdYRsjL8alcS6rmbrCFnL8AJ8G4otZHSZgreVkbz2Y1mrz+FvP8i8a7P6JWIzykMzh2OZDsnhK/MZNHXXR8ljqTwtulAyh2Mzy8ltoy83gg6K1v/rG38ywiG2AlxBmbOW4QX4gnNQopIwxvirLCPyJxg0T1/trCytjAxNeFNRR0eWp6psmb3g2DYDHNsmwDHgGILwsOi2tbWam4vdvKl165Y201f/QNTa1cChpOYTddCXWOZBj9Opbv4oVz81DntNcJNHTV4il48c+vJdZsfO8AIlv4qc0RPNYg8kq5pjWdpUCh+KLpSM7qj8KvLwwotelLJWHytn+e1rOk6nuviqugegWI5efV+QDvrS2gYjlIY+kl+A2s2bWpmZmsymop2dWGHhHd7ZsjX2iGOIBDi2NYBjwDFk4WHRxeMNUlPVs7K0bt7UgpTNzNQKIHNaSnRgLtbSQc4zWINlla/CCldNgwvwlUo2mwf1NwJg+21Vdkel1YTlLbMZX2ARX6TjVXrNooJLzxApuvkMWu4SNa0mrKqHtZdmy2keJGkZXiisWNXrMrZC9QzWsHSQG5iL5fC7/iRD6MTBm4qGhsq8s2Vr7BHHkApwbAsAx4BjyMKrojszM6OrezkjQzMzU5Ppq6e3auf4qnse7HeNqHbXNLhQUncD/s2+mWhj/FWWZbK3kLEVakFt2M2RWA7epE6m3nyezKVkSBVdKFnDsQU1YWtXFt1sknIsjfFX4avNTTBoJXU3NA0uFFW7r31+3kNH+MP20XBvX9XsbO1bt7SZTUUsVrS7u5tHwmyBveMYsgGOcQ9wDDiGOLwqut7eLhERCunpmhkZmpCyqamaQeFolmOUkInTQV9iacVMMGijyxT3AJS1iwLLjpLkBKPQ+K1vu9H9ND6jgpyzQOFsjFfxHa/iO1zqhWzRzWfQchYoWVXknumtT2sLitZnmb42+DzO2kXBPQC1drBlYYWrDvrS2qtAYJhxVpZWTo52drY21FSk0dSsrDA8EmYL7B3HEA9wjEuAY8AxxOFJ0aXT6To6EqmpGmlpGkxfPW6odE+x6XMYW6H6hesY4cRqewJZflTTHdA0wDrxfMupexKd2hDOjS6CLbpQ0urD6/sR66Kp6w1aO9yxtifQCCfmF67DtkHaOR7h7aual6cD+Qo1FfX0RBcWFnjhzGbZU47xKMAxzgDHgGO8gCdFt7j4nq2tWEqKRmqqBqRsaqqGTxCnVTcH5mLt3JXM7WTXjrlHJOUdkWltkVyKIgxFN59BS2uLrOiM5MXR6JqMMLeTtXNX4nxHxDfYAJogkZv7QtmAABkqNZYXzmyWPeUYD6+JwLH1AY4Bx3gBT4quqalWYiIqOVmd6aunt3J976rVvVn6W6C0jYZhiZIuvqrbWTNsbR40R2T2so7uY0l8X2ZESzb09W2sSaGxAfR1SHUepT+Twy/yrujmM2iZvdEPm5H81zu0EO/iq4olSq4dYQ9JDH9Y0xVMIqMKCnTz83WYTUVDw+u8cGaz7HTHvIrv5FjiG0M0uXGMpwGOrccucIxZdIFjwuMY8kV3bm5OW/tyYiIqMVE9KUkdUtbde9Vq3WMrVEsHOZy19NqumAkGrbzNV9/0CvdbcHBOcV1YZv8GpuYzaFmzycp29dDX97U0Hiteg75WtqvPmuU0GIGnRTefQcvsjymuYyPWFtI0EKKHuVLe5rv2R7U9gThraaLTNZY9s7z8dAoL9e7c0b19WxdqKpqYXB4bG0Ncm73mmFfxnQpZ6VYPJW4c4/k1ETi2Sx1jFl1lu/pWc+mGcB3gmMAdQ77oRkeHe3pK0Wgopq/Bwcr5D9zWHqDe6ShnH1W0ufjDBk9ETsbalLVHpndGcVABTSpnfi2Hb4K+gBdd5jfzGTQTctnav8DropvPoKW1R1Z08KR/ZoJBe9jgiTYXd/ZRZbtoTv4DNwpV4+5dvcJCPaipSKEo+/i4Iq7NXnPMq/hO4/lzDRG63DjGhwDHdqVjzKKrYFb/fP+bpZWuwDGBO4Z80dXXV6JQ1CgUFJWKgpR1dFHlsC3U4HycL1nbACuaX+q4tcO9Xmp6olObNhhx4F1SwPTVJe9e2lRqPoPWbK/Ybiqez6BlzKQ43ixmau1dUrD2L/Ch6OYzaGktETXITX17IWKpowFW1JeszWGdtnE67YY3qqhI/949PWZT0chIAXFt9ppjN58nj5z9uvKWOTeO8emaCBzbdY5BU4YyZlJS8LYTpw8Bx4TBMYSL7vz8vIbGxYQENaavcXFqpCjWddHWZmyFGk5F66AvJedudwYblPaxuKQKMjceaHlUhzdnw7/T5izfhb8K/05U2y111xq2v86fopvPoCWVkzvGkVnFNDnXUgd9KZyK5mYiXWg0prBQr7hYv6hIH2oqotGXp6amkDVnrzmWz6A9PXLg0WNnbhzjW4Bju8wxZqa+/6g6DQscEwbHEC66qalJDg5icXFq8fFqkLLOrkrto6tua1vYy/qStVnmO8OPI9tZz5vKyCKFVhjM4cQbBb9s7uWtJN6aX7UXx9qim72YlLeSCH3tXVJgHPKyM4dvRTefQUu8Gzy6tN355iV1N9a7IvTNRPuSta1dFODfbBkih5BQJSUG9+/rQ03FmBiFqCgysubsNcfyGbTn+9+83xXAjWP8DHBsNzkG5fFDx9kP/3V7hQocEwbHEC66xsaomBjVuDhVpq/O7hprD8qjJi+cjbQpQXKbi4Cvl8z7IdlzG8wcNwktU3Osy6Oz+dHaosvUWsuj2iR01R0Rfhbd7NmEzPuITfiDp6DM2ZQgibORftTEZrNPb3+t0lLDBw8MSkoMoKYiBqOCrDl7zbF8Bm3lj7+/MxvDjWP8DHBsNzkGZUjmeLOvKnBMSBxDuOiqqV2JjlaJiVGNjVWNi1MNDVWOplmsd4AG5+PCqWgDrKhHoHr3FGI32B80hqf3bTzML59BC2vMyVlKXPv99YruzefJ4U2sHTj8LLr5DFpGb/TDpnCkjlX3VKRHoLoBVjSciuZwRyQ2ybywUL+01PDhQ0Ooqaind4VOpyMrz55y7M6zmOU//4FLx/gc4NjucAxKcU/g4ptv3Jl5+aeAY4J1DMmi297ebmAgEh2twvTV0Vmpa2LjjSQr2v0s7GXR5uLbbzD2zyZQ74dwONmU/swNp2esV3ThyZpNjuvJyud70c1n0KjFIQNz627gzGXulLugzcUt7GUr2v02fHLHWGQwSb2szOjRI0OoqejqKlFTU4WgPHvNsfvtfnPv/R+XjvE/wLFd4BiUbtMr3aZXgGPC4xiSRdfT09XLSyYyUiUqSgVS1slNHf6ZS+pusCz/Dc/wYgLbPoFNJf1ecM48pw6Z8OZsFfs6WVyTU3bRes/hXHRdcu/J4ppU7OsiW2/lC6Lo5sxT0ou22zlTUndjeHFd40vqbrBsCu0bqF1RYVxWZvT4sVFpqWFenpabmy2C8uw1xx49cnr63QdcOsb/AMd2gWP5DNqdmejFN98o7gkEjgmPY0gWXX396xERyhERypCvYWHXQyJN4R+452lUSKyBEU7M3E72TrnLNg/32tT3RSc3vhhbnzqRmkenpU6mxHZlJjxJX3vK06fZbDNZMB/3ROPM8p9eX/nj7/u0zxYsxLP5xaerNoWe/PGTse8/Xe9VeJTkhvDGfjZL4Wwzd8pdzO1kjXBiIbEGLNPdQqMxjx4ZVVYal5cbQU1FDEYAS7rsGseW/vpH+u9f49KxfAanVwGOAcfYOrb4P39Z/vPrcx/8EzgmVI4hWXSVlS+HhytDvkZEKDu7yFe0sVmoZYJBe/IsJoKGRpuLm9vJ5j103ObGzlDG6TRKfhB0Lv0f5xw5254xkyxvWWGTetft9m0uJejVE2Hs28dMr8GFDX9l8sdPmt/5elOvgkgoeeyP7eaPGzXvoaO5nSzaXDyChma7rN0Eg1beEkCjaVZXo6uqjKGmooGBKILyAMc4Z7OvAhwDjgHHhNMxxIru4OCgpqYImXw9LEwZUtbWQXlDCwefx8Wlm2EsJcyspDLv2qzdsIn7PG6OSOt5uWiLin1ZxkyyhHG1rncpLro4n0EjN+S45t9jhu1Ok8t/+QNc1uU3/rT2OTefJ8P/ztA3hxr/c5j5KnxLaldUeevWlzMdXaZk3rUxs5LCWErEpZsNPt9g5tw4nebtp1Fba1JTg66qQldWGtvZiXV2diLlD3CMg2Pkhhz4qwDHgGPAsZ3rGGJFl0qNJxAuh4ZeZ/rq6qnN/bEbXkxIzLYwsRA3sRBPySOwrJzJTai/NQ/hsqZPJ+czaNcsKjKfJfOu6I4f/5T5Kvz0dQuNxJGlhJQ8AnScE7MtONwOWRv/EP2GBpO6OpPaWnR1NTol5XpCQjRS/gDHOF8Q4a8CHAOOAcd2rmOIFV0s1iAoSJFEUgoNvR4aej0gQDEiAQ//qF4hmqYEyeAYg8Z+TjfPR5cpaQVWUMuFkoXnMP4bnsr2yJT2lzte3bib/935NjXHMnXXRwYBD0R1a7k8/b3651d1yxhy1b3c9v5Xm3oVpJLaHlndyX5QZUoeIfeBA/Ph4HwcJQsPtcTTCqw4t8Qb+0OCYwxMCZI+oVrw78cmmZeXGzU0YOrrTWprTaqqjM3NdZHyBzjGOdqepcAx4BhwbBc4hljR1daWDw5WCglRgnx1cJSv6ghaeyAeNXm5B6AwlhJYomQEDc12YyYoYyvUnBJ7nI20iYV4fAZugkEreOycfsea7ZNp+WyG50HJmmO/SsvacQT5DFrBQnyf9tnlP/9h5U+vrzvIZfXIBWj08nqvwutQYY3EshafO+UuUKMvMdvizf/7r5rugPgMnImFOM5GOqfEnsNiaW2jYRE0NJYoibGUcA9AsR1+Wd4amJSs3dSEaWzEQE1FLJavYxB2k2P03/9u6Y0/cekY51cBjgHH1jo298E/l//yh8W/vwEcEzbHECu6169fCgpSDA5WgpQlWitxXg9znE4tqnZ38laBxG0ZDuXwzKpO/7JWn7+/+V+ffbHfzEpKD3MlJY/AfEL3ZBz1cSiXZzey9RY01N4l9956z+E8Zcgpuwgaag+tdMr/KUPwUB6F9ky92LPz48/ellE89dOZL3SML7n6qf3jX3+7V+VW3ubL4Y5U6wgZEtTJW6Wo2p3zvauxFapfoEZLi2lzs2lTE6ahAWNiIoGUP3vNsafffvDokROXjgk2wLEd59jaBTGAY8LjGDJFd3Z2VkHh18BARaavDi7qHD42S0aXKRsOVYhNw372xX4tw4vffn/Q2Uf13ff/QYozhH6U84B061kCl2c3ricLqcUxoE2hBVt0b80k5D58sWEnlihlaCY2TqfSbpkb4a7GpZtteOTHVqibGvQRSNJta8O2tr7wFY+/Mj09jYhCe82xuff/cb/Dj0vHBBvg2I5zrDFUq0/7LDd/BzjGZ8cYSBXdyspKff2zAQEKAQGKkLIevnrwD1lY4do6Qub+oKzN8GICzkbayln+w4P/0TW5/OPpQ3buStCPEvLW7ZPhnPCmbLbDEB7W3XhYd2Pt93OWEsMac1i+Kdiim8+gJfzWM1Nc4y6vcno7B5klrSPkgser1tYJDjPq7DRrb8e2tWFbWkxDQmTKysoQUWivOVaVhc+nU7l0TOABju1Ex9YLcEyAjjGQKroREWQC4Yq/vwLkq6fnNZalSvMeOrr4qmKJkliiJN5WJioJU9Xpv7Uj2PAk2MJe1txOdmAudoJBa+qPSarfYLNJtjEJLdPyqGbuucFN8ug0Ncc6AW54wDaJdWHNA8hMMK/q9I9KwuBtZaAz5eKryrKgXUKqZV0dpqvLrKMD29aGzctDxcSEIqIQcIyDYwIPcAw4BhxDCmSKLoGAvXFD1tdXwc9Pwd9fwdZW9kGd73pHZHgxoaja3S9cBzoiZlZSlR0bL5u5Xm7dD8me5bZPhhnjkFVbYmUvbjB84Nb8qi2xjIIFs7Uf+/f2LCHnAWnLB7Cyw8/MSgo6F37hOkXV7hzG3z+o88nJ0evpwXV1mXV2mjU0oO3scIgoBBzj4JjAAxwDjgHHkAKZomtgoOHjI+/rKw/5SiDKd0+x32ZybcbpVG62IF4v1K32yTCj7loT1bbB6qPhzdlaHtVsfyTwopu/euzfZsPNjShmOscjY+K0+vrwvb247m5cV5eZhYUOIgoBxzg4JgwBjgHHgGOIgEzR1dRU8PKS9/aWh5S1IChu+dhtKiOLlHiOmzxvGO+SAjTpRXPP8WZxxkxKPoN283kydI8kbSrVJe/F4EA06WWjEh5hKLpxd4K2vyk0lwkM0ejvxz95gu/txfX04PB4Pm1IuZcdE4YAx4BjwDFEQKboqqqKe3ldY/pqY68C/3hpBVY4G+kbQRqJ2RaPmrw2XKmL+9R0RSW3RW7nNJuQX97YkMM3QV94Fd/xKr7D8k3I17V/QRiKblJLRF33xluPcZnB53GPmrwSsy1uBGngbKRT84nwnwaH6gwNmQ8MmPf34/v68DicPCIKAcc4OCYMAY4Bx4BjiIBM0ZWXv3DjxjVPz2uQso5ummsPQctQaH6pYxjF2NpFAW8rg7eVwVlL42ykk3Ist3xYcx+Sbj5lM+97C8maTVa2q18rq7JdPefpH8JQdG8+jc8r3frtENotc5yNNM5aGjov1i4KYRTj/FLHliE2kw5J4QYjIxZDQxaDg+b9/XhTUz5NcdvLjglDgGPAMeAYIiBTdKWlz3h4yDF9dfbgdrXScToVGry3tSSvXqd0O6H0Z4ZU562VNaIlO76P0zw2YSi6+QxaUj6bdXO4zJNnMdzfDgkJNxwbsxwdtRgethgaMjcz49MeHXvZMSEJcAw4BhzbPggU3fn5eWnpn93d5dzd5SBlPXz1t3zgNhXKtkcfsA1c1vVydyyskyg58+W79Ndepb/26vTh9zuJkoWTEYKSdTtjEDaV4HCjyUnC+Ljl6KjlyIiFhYXYwsLC9i0CjnFwbPkvf1j+yx+AY8Ax4NiOdgwCgaI7ODioqPiLm5sc5Kurq2xQOIY/By5OQLJW5BMX/vU3+JLiUBb+9bfyO9YCkTWOX7JGUcxGRiwnJwkTE5ZjY5bu7pLDw8Pbtwg4BhwDjvHaseLugFoa+vYyBTgmEMcgECi6jY2NKipnXFxkXV1l3dzk7O1l4tNe3rIeXabgbKTZxslbJSBSr3lwi534wwuUuLvbGvLHvazw1FLR9NdeXWsqFPrvXqtJxvBf1vjC4JHFLQ78ax4kBUTqOXmrsD1NBMdr8CXWkm9Zd3WZTU8Tp6YIk5MEEkm+paVl+xYBx4BjwDFeO9bircLYt+/ZZ29Xp2KBY/x3DAKBoltbW6ui8rOLiyzkq5WVVEqOHTfHqHMioqrTn8tNr9am92k85SEJ8bOeOpGaNZd883lyREvW2j037o6GLf3Xn9YzFcrSf//57lgYn2WlPCT1Tcdv7UgOzsdVdfp3TnC1lXTmbfvGRtNnz6ymp4lPnxIjImRra2u3bxFwDDgGHOODY9Wp2Gefvc3Yt49DxQWO8RQEim5NTQ0K9auTk4yzs6yLiyyBIJVT7LK1o7apdIzG0irJyJ5y/8c5R862Z8wk63qX2qTeFTdknUgONRU3TLOvKp9lpVWSO8cQm8PAIbcfujU1YefmrGZnrWZmiImJ1/kgK3AMOAYcQ8qx28uUwWsngGP8dwwCgaJbXFysrHza0VEG8hWPl8i978aHo9bcH524pdVKOUfFvixjJlkOX5nPoKm7PkoeW7Vd5cTpQ9zIOvHzIT7Lmlgf3oLQyqWcU1DqXlODmZ+3fv7cenbWKjFR6f79+9u3CDiWz6CV37PttBCf+/BfwDHgGI8cywfXMcE5BoFM0VVTO+3gIO3oKOPoKGNmJlFU5c38bIPP41LzidyH+ynndd1Rya3bmlG+oaxqjmVpU6u2el7+yx+4kXX5jT/xWdbk1kju55Vv56QUVXlXV5ssLtpAvmZnXy8uLt6+RcCxfAatw0aaG7ugrPzx9cpcy9Jq96L+ELa7lAPHgGPgOiZUjkEgU3RVVX+yt5eGfN3Rst64m//d+TY1xzKzqGIdr9JrFhUsTwCyFlV519Zilpdtl5ZsFhZscnOV+XNB3EOO/Zkrx1iy9Le/zH78n8kTH49c/e6JxplOgmSLt0pdnGFFPvFhjXvRQMjtxU2vpw8c27WOgeuYIByDQKboKin9ZGcnbW8vbW8vjcWK7+huGWZuPmezZcfEz6Bbxr2+3pTBsFtZsV1asklLU+LPBRE4xpKnxz4su29fnYZtJGm128v2GF0clP9x/NcvZr58d/7f/0P//Wtrf2Xxf//67JO3Jn/8ZFj8aJ/22U6iZLOval28Ufkd64e1HvcGSbeXOBVm4Nhecwxcx3gBMgOpVFTO2NpK2dlJ29lJ4/ESO3cAwoZp9lHlRtZmPzU+vzF+DkBobzdbWbGl023pdNuMDBX+DHIBjm3Wsbvj4Q+avMqK7WpSTJuCNNrtZHsNLgxeOzH+y+czX+xf+Nff6L9jV5jffOPZp29Nnvx0WOJYn65Ih5VUs59aLcW4vNA6J9GupylwYht76QDHdpZjgwonmZN6wXUMKZCZMiQvf8rGRgryFYeT2NFD7Te4kI1xMZ3jb3+5O87Dpivb8G+ofYFDWxt2aclmedl2ZcWWQlHkz3QO4BgvHLs7Gvag0ausyLYmGdMUgOqwlenVPz8k+8PE6UPPDr2z8M//pr/6Cuurv/IK/R//vfzZ20unPl2Q+n5eT+S5tfSsP+oZDT191+Zpg+fkcOjEmtX4gGM7zjH6715l/Dapl29vbHdfxyCQWRzj2rXT1tZS1tZSNjZSFhYSsckE5mcbXaYQHK/trEnlnFOThGH7X4TfTH2Nn44yw7tJ5Tgb6dWTym0GBsyXlmwgX2NilJqbm7dvEXBMSB2jU++NkB80eJbfsy220ZzxUZuzkZ7XE1mQPr7002fLn71N/8d/M15ZU5hffWXln/+9fOidpdOHFmR/mNc/P4oVvaf0U7LqIQgphAAAIABJREFUz8Gqp2/oidhhRYFjwu5YCrYmxRSa1Dv1/Ufld2348K5293UMApllIKWlT1tZSUK+EomSAWEmWztqmw2Plk/bMOV3rOf//T9rTZ1/63/LCwWzfFo8H5dPe/qUuLBgs7hos7RkExAgNzg4uH2LgGM72LEV6tRQ6NP6G9OF1s8oxrN+as+tped1RRYkjy2d+nT507fo//dfbK7sr7268q+/LX/+ztLPhxaunZg3uDBnJ/ss0QQ4JlSO3V5KaAjTeb7/Tca+fWMXDpdWuwvGsV1xHYNAZsMDUdFTBIIkkSgJKevqpcefA8ejhcK5SeFkRIeV1PQ377/Y8OCb9zuspPbCQuEhEcbz89bz89aQr05OEvPz89u3CDjGwbHlN/60/MafdrZjy5SpQdLTuhvTd6yfxRvN+qo+J0rOa59dFD+69OMny5+8Rf/7G4x9+1Y++CdwTAgdK5iLbfVQWnzzDfqrrwwqnLzf4SeMjgn9dQwCma39xMR+trSUYPrq4KrF5Scfp1OfPNv6WDUEt8TacoRiaz86LSl/67IOzMVyvyUWKdJwbs7q+XNrSFkikU/7UO5lx4QifHBsKWFiMQE4JrQpnIzotJRY/usfV17/Xa/++XtDoTvPMUFfxxhIFV1JyfMWFhKWlhKQsjYO6ms/ZNNASO4Dh9B4I6LTNZy19IvYSCdmW2z5KCO4+fOWIwxFd5ubP6fkEaDNn6EQna6FxhvlPnBoGghZ++TQCIPZWSumrwSCNCIKAceEPMAx4BiUooGQPl2Rldd/t/zXP3YSJQufRgHHNgUyRVdeXtTcXILpK95SCf7xUvOJOBvpG0EaidkWj5q8uJ82vmFqu6KSWgXW2wZFGIpuUksE9zPKN8zg87hHTV6J2RY3gjRwNtJpBVarZA3XnZ21gnydm7MiEBQQUQg4JuQBjgHH4Clp8x28doL+6iuLb77R4qlcMB8HHOMSZIquioocHi+Ox4tDyhpj5JA6cJwzukSNuyPgnpnGYI3GYA3Bvof4O8GjSzyfPQmFFKY1M0N89swKUpZIVEVEIeCYkAc4Bhxbm9JK17HzXzP27Xu+/82GCN3bK1Tg2IYgU3R1dFA4nDjTVyO0dPdUNJcffpxOhY/k3myoghuDIDzZzuiDsRUq9zdCOscjE5N0p6eJTF8JBC1EFAKOCXmAY8Cx9VJeaD31/UcvJvWmbX0y215wjIFU0TUzMzYxETUzE4eU1TcQK6n1Xe8DDy8mFFW7+4XrYImSWKKkmZVUZYfflo91dgkpe3a7i8ru6Nx6lpDzYOs3Qio7/MyspKBz4ReuU1TtPryYsN6TH9T53L9v9PQpcXqaOD1NnJiwtLc3RUQh4JgwBzgGHNsgdOrLSb3HD5bfswWOrQcyRTckJEhD4ywWexXyFYMRi0gwh3/IgjJnF19V6IjgbWWikjBVnf5bPr7wNPVHJ/Fy5VLhT2JdePNAzASD1j8bY0qQvFO+9bXrqjr9o5IweFsZ6Ey5+KrmPXSEP4GSZtnTg5+aIkC+NjQYksn+iCgEHBPmAMeAY9wEPql39OLmJvXuEccYSBXdR48eycicNDW9isVehZR1ctdZJetj59YR8nakbB4kNfazGYQ2waAl7OSeme0n4bc+GTt3pdNnv2weJA0txE8waFFJGO77W9imdYRcWOEK/w4p0nhiwnJykjA5SZiaImRkKBUV3UNEIeCYMAc4BhzjPlub1LtHHGMgVXSnp6evXDmJwYgxfbWwUuH+oIwuU8Y2WkX9yLGPLosfvSrzg6jU94qoX85f+dbO/cXYwuwHpFszO2bAPbK5OR2f+/BFn0xQtP7+9/5h5650+NsPgmMMPjn0Tmo+kfNR3eyNKFK4/vi4JdNXT0/pkZERRBQCjgltgGPAsS1kU5N6945jDKSKLoPBkJAQMTERMzERg5Q1RMty9m+cTi2qdnfyVsFYSmCJkhzaj+N0anmbr5WzvLre+QkGrWU49GaRbVqBVctQKPSE7sk46mOkp2nvkFAehfY+fbk+eGo+UQ9zxd5D6ZND7/zP//61vM23qtOfQzuxZTgUS5TEWEo4easUVbtzblGOLlNIYVqjo5ZjY5aQshYW/JtRDhwDjgHHdlyKBkL6dM7Rf/8a50m9e8oxxIru9esyaLQY01c9/asVbUFrP/CjJi/3ABQkaAQN3TYatt6hGVuh5pTY42ykTSzE4zNwZa0+//rP/653NGn5u6RnZrNZb7xfWoFV7gOHCQYtPgNnYiGOs5HOKbHncPloGw2LoKEhcd0DUI+avNY+p7w1MCdXf3TUgukrgaCElD/AMaENcAw4ts2UtPkOyZ1gvLLupN495RhiRVdPT9vQ8IqxsSikrJGRaGiMGfyj+oRqmRIkg2MM1rulMfFbMyStwMrMSgpjKUHJwsM3zJJRPMV2bZEJBq2qIzKlPVLgbvE5qW2RNV1czSUfnI+jZOExlhJmVlJpBVacu2Ia+0OCYwxMCZJeIZrw78cmmXd0mA0PW4yMWEDKWljwb5w9cAw4Bhzb0SmtdB0T+WrtpN695hhiRTcmJlJR8WcjI1Gmr7ZOGtwcRyjDiwmJ2RYmFuImFuIpeYSRpXVHe68X6g5ZvxTBUDY/rW1kKSEljwAd58RsCw6j6tcmiKw/NGQ+NGQB+VpXZxgS4oWUP8Ax4QxwDDiGbMrvWE8d+4ixb9+zQ+9Up5vtQccQK7pdXV2ioqcMDUWNjEQhZY0x1zYcdTb4PC4u3QxquWTetdnO7PKylojUbsRWARX+pHRGlrdFbvlwjS5TMu/aQC3xuHSzDde0G6fTgkiaAwPmg4PmkLKRkfIVFRVI+QMcE8IAx4BjPAmdWpOMefbpW4x9+8a/+bA5YevLVu9ExxArugwG48qVMwYGV5i+6uiIlTUHsP3kT57FRNDQaHNxczvZvIeO2xwRzjya1Nu7vJEID2Ub23GsPm7UvIeO5nayaHPxCBp6vc1SHjf538rW6+/HM321tLy6tLSEoD/AMWELcAw4xrvcXkpoIGvP/t//MPbtW7z0zdMa9z3iGJJF9/p1OT29K/r6VyBlDQyu+JLQ8A/cOx0VEmtghBMzt5Pdztzn9dLwJDqpYcdPMOcmyfXhjf3cLlDHfe6Uu5jbyRrhxEJiDXqerrrLEhZr2tFh9uQJvr8fDylrbq6IoDzAMWELcAw4xgfHmjrIc+5K9L+/wXj1lQXFk1NILDYi5I4hWXTt7KxRKBG4r3iCMvwD3610Lam7sd6RGl5M4PBTLpN+LzhnniJwmXianHlKRhGnQRzc5FGTF4cbISV1N1jORSBJp7cX19eHh3zt6TGztTVGUB7gmFAFOAYc46djk5MRzy3E6X/5A+P1380bXJgcDt3FjiFZdKurq69ePamre1lP7zKkrI6eROf4xveEKtr9LOxl0ebi22829s8mUO+HCNwnnoZaHDIwt+kBGiwpKHNGm4tb2MtWtG+8YGz7aERMnHZPD663Fwcpm5p6PTf3FoLyAMeEKsAx4Bj/HZsaCJnXOcf4/Wv0v/7xuZXU5PTGQ5p3omNIFl06nX7lyq86OpeZvmprXybH4tY7BIPzceFUtAFW1CNQvXtq6+M1WPKgMTyjL1rgSvEoGb3Rpc0RSB2r7qlIj0B1A6xoOBUNn9XAkrgUi7o6k+5uHNNXa2vxubk5BOUBjglPgGPAMQE6NtXmuyB3gvHKK/Q335j1Up5YiN/wWO0sx5AsugwGQ1VVQVv7krb2ZaayLD0zUB41eeFspE0JkgVlzkg5Ck/m/ZDsuV3YOZM9m5BVsvWNODikoMzZlCCJs5FmO508IESns9Osq8usq8sMUtbMjK/TyYFjwDHg2K4JN449rXRdFPmKsW/fyv43n0XqTWy0vuYOcgzhohsWFion9xPcVy0d8dbhcPgnt3ZR8CVr982wH6ORnGu5/Tsio0tUWmGwwN1COHQarRCBTZ6Lqt2Tcy3Z/qhvJtqXrG1hLwv/ZstQWFy8VkcHlulrXZ2xu7sVsuYAx4QiwDHgmDA5Nn3HeunYR4x9+5YPvTOTvmqVkp3rGMJFd2pq6tKl05qal7S0LkHKamld8g4y2vDgjq1Qw6loHfSl9Y7jZtM+FptYvqsWMk0sC+0Y32AWGpdJzrXUQV8Kp6I3XJ99gkGLiMfW15u0tWHb27GQsr6+Mk1NTciaAxwThgDHgGNC5xidOpOMWf70Lca+fUs/fDxdZLvTHUO46DIYDAUFSQ2NS3BfjUzkx+nrHovB+ThfsrYBVjS/1HHDA7ep1PREpzVHCFwyRJLWHFHbh/D8jfxSRwOsqC9Zm8NdkLEVql+gZmuraVsblumrmZks4toAxwQe4BhwTHgdW0qYDdVaefvvayf17jjHkC+6np4e8vK/QL5CyqqrX75VxGY4X+90lLOPKtpc/GGDJ7KaMlPeEZm689cyTWuPLG9HbIAGSx42eKLNxZ19VHvZjRXMf+Cam6fX0mLa0mIKKdvYaGJjY4S4NsAx4BhwDDjGOZNzsXNuivT//evaSb07yDHki+7ExMTFi6fV1S9qaFxkNhUtrdXgh2BkKYHodA1nLV3bw2bJm/I2Xz3MlfXWBN9siuvCMvtjBC7clpPZH1NcH47IoWgeJOmbXilv8137o9qeQJy1tKWDHEtHjV+wblMTprnZtLn5ha8hIXKVlXxdNQ04BhwDjgHHmGlt8c499tHKn15/MakXtp3ijnAM+aLLYDCUleVRqItwXzW1rlZ3rtohq2uSzXjxttEwLFHSxVd1iIth4tznYXNERs+OHHyf0RP9sAWxyRsTDNrQQryLryqWKMl2MzKWtdNquoITKNqNjRi4r1isgPv9IIBjwDFeAxwTZsf8HWQfHjlA/92r9L/+8bm19CRsRJuQO8aTokulUiQkTqqpXWAqq65+yd5Vi8NBHJiLtXNXMreTZSvx9lPRGZnetsP6Z9JbI6q6udrxarPpmowwt5O1c1camIvl8LRAsmFtLbqhwaShAQMp+/ixgaurwMaUwgGOAcd4DXBM+B3zML5U/9V7Lyb1equwndQrbI7xpOguLi5evnxGTe0C3FctHcmuCTYd+mMrVL9wHSOc2NoumprugLpeNjtIby0N/dFpO2dF09S6sIYB9mt2byFNAyE13ayLttf2BBrhxPzCddiO/escjyCHa9bVmdTXmzB9dXSU7O3t5YUzmwU4BhzjNcCxneKYu8rpnkPvMPbtW3n3/55FrZrUK4SO8aToMhgMLNZEQeGcquoFprIo1EUXLz2W45WUY6mDvlRY4cry/dFlinsAytpFgWWrJnKCUUiswZbPWe90fEYFWcgXNc2Zp2SUh/ZOb71jKjjGIIxiDP/Ok2cx1i4K7gGotZuOFVa46qAvJWSyLrhDikSXlxvV1qJra02YymKxKjwSZgsAx4BjvAY4toMc85b6fuzgvxn79i1//s5MFl5oHeNV0R0YGBAROamicgHuq7aOZPvoql6XvIdshtcXVbtrGlxgmVreNxNtjL+alLPd2W9jK9SCmrCbI7ECl5Jtbg7HFtaHc5iZwGWSciyN8VdZZu6X1N3QNLhQVM1mC63bj5zgD9tGwsnhGtXV6JoaNNPX+PjrN2+m8UiYLQAcA47xGuDYDnOs1PFZEmb5k7cYr706ORsjnI7xqugyGIzr1+WVlc8rK59nKquqesHJXYfDIR6Yi7V0kPMM1mDpjCqscNU0uNAyxO3WExumpjc6rSYsd4kqcDuZyV2ipteE1fRGsxyQLX/G5kGSluEFltb32ArVM1jD0kGO818OCjMqKzOqqjKuqkIzlcVgZOh0Ou+E2QLAMeAYrwGO7TzHlhKmOvyE1jEeFt2ionuXL59k8VVTW6Kuh/2qm6n5RB30pfq+VTc/xulUN3+Uq58aIhtEd05EMAc4DC9Q8qvDMrqiBK5pPoOW3hl5uzpsZPFFn0lZq4+ZlZQ3Sesf//obhxnfG2acTnXxVXXzR7Ecvfq+IB30pdR8ItvfqusJjojSrKgwrqw0ZvpaUKDp6+vKO1u2BnAMOMZrgGPAMWThYdFlMBhycpJKSuevXz8PV9bSRo3l6LSNhhnjr0YlYVi+3zpC1jK88P/tnWdcFOfah5NzjiYx56TrSTuJiTHRWGJs0SjSO0uHZem9LB3pVTqIdJW2VOkgYEsURYzYopCoWIItdhFladLLvB/wXcdhKYvMTtn7+j0fGNhln925dv5TnrmfmSomXrjX6/0P/j133rtXHry4c+7G04L99Zx9zYTdALf30a799ZwbT1/aX7t8P/XNN2d/892niRk2r17gpuZcpI2T4jXU3WyjLbd8s4u3+tjfJ+5knz3rfO6cc329M09ZLy8tQqZ8mRRwDBzDG3AMHJtB8A3d6uqDyspiY3xVOXTipXMFx/6IHjvCvqLa38lTjW95kWm0Ox25H819p+Zs5JLlXx77AzveofFe3v56zr77Qr0Hbt/9vH31GZfu8ymKdupSrKG51LyP3/v9avy2nZav/vbvduY6eaqN3SX8uy37zJWXpuOoObN1d4XNqKw8X2trbbdtC8ZVlWkDjoFjeAOOgWMzCL6hiyCIlpaagYG8oaE8WllXd8OWQezwM157PFDkF6aXXuCE/uWToeKgKAPMXc9Tb8fPx7z73ts2TkpLf5g/3hmeq4927T+XUXE5C9dhgQf7iisvZ+0/l/HXo0neS3icyU8bFoVuM5rG+33UWxAUZYAZ45de4OQXpvd4YNzJyVsGixOSrc+ccTpzxun33514ynp5aXZ0dOCtyrQBx8AxvAHHwLGZAvfQPXz4sIqKOMZXY2PF7Rw3vp9Xw41kC7Z8w41k9C/vdOTaOith9mWm3gr3ehXv907d5Th33rtjdw/HrObi3y5m7mvgVN3IOTQwY9YeGiipvJGzt55zvDHrUe+4X1R0ax0pkVNe+f2yL6b3rs9cibd1VrrT8dIuNt+Pl9dyiz2PHLE/fdoJ7WtNjQ2Bk6xNBXAMHMMbcAwcmylwD10EQQwN9VgsWQMDebSyFlbYgmpcpDSz2MU3lInZhWm4kWzloHCzdfp1Ow+dCvvgw/98+vmHAs239XdbYe15zoF6TkUDp+pu3sF+gcU92F9cdTevooFzoJ5z7ELm7XaBb1m71sLJ3Y29RDT1drM1y8pBAaPm44Ei31BmchZ2+OXFv1Ozsq1OnnQ8edLx1ClHnrKenprPnj0TgievAjgGjuENOAaOzQjCCN3Lly8rKm7S15fD+OrhY4y5kevctUTMJ7jnaJC7v1bL4At9H3Tvik2xmvoK25Fjz0VK73TkTnv4XOtI6bXH+ccvZB6qzzhQn1F1LqO8nlP+J6fyanbljZyqu3lVd/Mqb+RUXs0u/5NTdi6j6lzGgQbOoQbO8QuZ1x5Pf6w8ryVxbKf+4MhEswfdL074tAwWuftr7TkahHnYHzdfMvjpcEl8sk1dncOJEw5oX3fvNuVwkoUgySsCjoFjeAOOgWMzgjBCF0EQR0d7HR1pFksOrayhoUJqjsfEKykx46VKp7fbcyzY8n894j9Yf2xL3eVYVRP46rqMbU8GSx50F91uK7jWnH+tOf92W8GD7qIngzNwP8DYVlUTOPX6NX89Srdgy99uf6lSXWKGzcTG55f7HDhge/y4w/HjDmhlXV11h4aGhCPJKwKOgWN4A46BY6+OkEK3ra1NRUVGT08O46uFpfqpRj6zgI3u12A8u/4k04Itf4s71Uri564l+oez8LBH+C0ggjV293m8doubbcGWx8zxUlUTiNnX5rUzlxNzcq2PHbP/7Td7tK8pKaxDhw4Ix5BXBxwDx/AGHAPHXh0hhS6CIBkZaQyGuJ6eHEZZJ1dWcx/2IoGdizLmDP6leykWbHl0PbCm5oy41HHPzzT3F1ray08wwo1a7fFAkZWDwgQzhSWk26Ar3dzryrNgy2Pu0G+4kWxuJ4d54sOegoRkq6NH2bW19rW19jxljx5l+/hYC02PGQEcA8fwBhwDx14R4YUugiBMphaTKYvxVV9fPiQKO1sWpnxaw41kW2cl9MWM0Z0g9El/TPMJYf55a7sQNAqIYL351mwrBwW8X+jPW9t9Q5nj/fVB9y7M7vOjvgJbZ6XxBvjxWnKaw8GDdjU1bIyvfn7azc2PhKnHjACOgWN4A46BY6+CUEP31q0biopSurqyGGUNDRU5+Z7jfZonLm6z38xAn0+4/2yXuZ0c+nQ/ZhKPsl99OUXOQjCVi5S++97b564lYmbDwKlxipwxpdLRX9fb7TnmdnLoWwBbBovsNzNOXNw23j8sqvKrqLA+fNjuyBH2kSNsnrIFBcaZmTuE6cZMAY6BY3gDjoFjr4JQQxdBkO3bE1VUJMb6amahVvM7n8/0yO8R7v5a6NvAH/UVWNrLo4t+nb4cFxipz1v861G6i7e6cEzlIqVvzXnj3LXE5MyJCqDPYHP2UkOffgmKMjh9OY63eK2FY2kvj96Vbh0pcffXwkzwMtrq/ozPzLY8dMiuutru8GG7UWVrathHjtht3mwmZDFmEHAMHMMbcAwcmzbCDl0EQYyNDbS0ZHR0ZDHKWtloXryThvlAMXd3PRkqtnFSRJ/iv/E009ZZiVeypHWkxNpRcdoFX6bRLO0V5s5799//eUs4L3evK8/GSZH37X0yVGzrrHTj6YuxBpfupdg4KWJquGSVuGL+z+W7aSnpVgcP2h48aIvx1cdH++HDh8IXYwYBx8AxvAHHwLHpQUDotrS0MBhyOjqyY311dGHd7eRTw5MnooM7o/76i1GCjweKrB0V0ednIhJMJ63VMuPtZmvWJ599ILSXq22Ijkw04y3ebs+xdlRED7Wov57k4M6YYD6T2+25sfEWBw7Y/PKL7a+/2qKVTU012L27QPhWzCzgGDiGN+AYODY9CAhdBEFqamqUlCS0tWXGKuvtbzpeOVN3fy3MaX2PAC20uzXnImN2WAjZ1B9XL3j99de/Xfy5MF9063YL9KQl9deTPAK00A84cXGbu78W3+c29xXGJdns22dz4IANxtfycvOwME9ClJhxwDFwDG/AMXBsGhATugiCbN0apaQkxtfXgBDLsb5ml7piJodK4tiib4C725lr66zE2y160L3r6kPsSR482qPeAszwB5zapXspvBdqHSmxdVZCT11SVROIuW388Jnw7FLs2ZiWweLkVPuKCqu9e6337bPev/+Fsr/8Yuvioj8wMECUEjMOOAaO4Q04Bo4JCmGhiyCIhYWZmpqklpbMGGXlgyOsMaPtMa2qJhBT5MXRQ7Xp8UtX5i/c3iEEh36pC/mlLkQIL3Th9o6gKAPeYtPjDEcPVfQDEjNsJi5b83S4JDnNsazMYs8e6717rTG+envr3r9/j0Af8AAcA8fwBhwDxwSCyNDt7+83MNDV0JDm62vYVtvxfB17FiK9wAk9yeLJxtit2y3Q63UqNjzsmU590WnLOsHNeeiGnqp663aLk42xvMXKwwGYicMw56kwpqZkOhcXW1ZWWlVWWlVVWaGVDQvTPXnyNwJlwAlwDBzDG3AMHBMIIkMXQZDHjx+rqMhrakprasqMUVYuOMKa73URO1dl9O1u9deT/ML00GvF2vHFsLdHfQVOnmqTOvF4oAjzBcBbVs9A7akUmnH0UOUNnX8yVGztqIj+DvuF6aFvG28ZLLJzUR479KBlsHh7mmNhocXu3ZYVFVYYX5OSDPbtKyXWBPwAx8AxvAHHwLGpQ3DoIghy+fJlBmM8X2X9g80nXqPN/YUW7JfKpMWlWh0/H8NbjE42P9f0otoneg8L3Sqq/cdOYYGrrFU1gei9WnRDj7M415QYnWzOWzx+PgZdNG60StwEZdW4SOnj/qLEneyCArOyMouyMsvycku0smlpBikpsURbgC/gGDiGN+AYODZFiA9dBEHOnj2rqiqvoSHNV1kPH+M7HeOOv/cNZaJnd7p0LwW9t3iLm+0ZqM1b3H3ID1MJhdc2+2li7gnDW9YnQ8XjDcwrP+iHnjLTM1AbXRfNL0wPfYdfw41k9FvGtNvteTHx1vn55iUlFqWlFhhfORyjuLhgote/MADHwDG8AcfAsalAitBFEOS3346pqY3rq4Oz3qW7fKbBariRnLrrpbmi2G4q6Esa3sG66JovbDcV3s8HT4by9hYn8AY/WUe/IbxzLCcbY9Gj59FdvdbC8Q7W5S0+7MlH/5WLlGYUOqP3gnnt8t206FiLggLzoiLz4mLz4mILtLJZWYYREV5Er3nhAY6BY3gDjoFjk0KW0EUQ5ODBg8rKMurq0nyVtbbV4ltfDd1yd2+uqPbnLV64vSM8zoS3ePhMOLqgiZuvBu+Cyr5jW8bbc8RV1rJfffcd2zL6c8tgkZuvBu9PWSUv3VoQHmeCHsRYUe2PqXEzth3/I3ZbvFlBgVlBgXlhIdbXzEzDkJDNIyMjRK92oQKOgWN4A46BYxNDotBFEKSu7jiDIT+er8amqpx8r/HWze32HEypUhdvdfTeooM7g7c7drs9Bz3TBXoswI2nmRPUQHl1WVtHSng7rY8HitBnjXxDmbyqNE+HSxzcGbw/PezJH/vuMDM8o1thhV98gnFenumuXWb5+Vhld+40CAvzpJapMwU4Bo7hDTgGjk0AuUIXQZCzZ88yGPJqatJ8lWUy5YMjrMfOW8lFSk9c3IYeUn+0PmpHjj1v8fTlOPQ913GpVrwrKK0jJa4+L3bNPAO1eRdFzjUlTnyb3RRlfTJUzBsB/2SoGC2om68G77vxx81k9OCCJI4tugj4jhz7o/VRvMXrTzJ/+3Pr2Nd62FMQm8xOSTHOzTXNyzMd62tiIis2NoTo9Uwk4Bg4hjfgGDg2HqQLXQRBLl++rKqqqKoqNd6uor2z3qlG/ndx8ZqtsxLaMxdvdfTQOPTO16FTYQV7XkzIhb4o4hHwYmKQ3Yf8ePubVx+m8X5Gy/qwJ59XPub+s11lv/ryvg/ocfzolyjY41mqen8EAAAgAElEQVR9Opxvx5r7C9F7hU+HS2ydlSZ+16cbE8OizDgc4+xsk+xsk5wcU4yykZG6qanUGOOHK+AYOIY34Bg4xhcyhi6CIE+fPmUytZWVxcfbVTQxVUvJdm8d4b/Oas5F8kThIqUX7+yMSDBF/xV9UcRriw6vLNn1J5noR6J35byDdXni7six580sjZb1z1vbebulrSMl6FED6H8VkWB6/cnz+TQe9RagH5ZV4ooehhCRYHrxzk7eYkW1P6aGHK+1jpRmF3lFbTXicIwzM02yskzG+urnp03aIuDCBxwDx/AGHAPHxkLS0EUQpL+/38bGSlFx03i+6ujIuXkanb+VwnfloZtnoPa9rheD9Tf7aaL3FtF7Ydmlrrx741pHSjCyoh3ijX1Hy3qLm412HSMrz/Xj52PQ1UTRHWjuL9zsp8lbvNeVh+7DeO38rZSwKMukJIOMDOOMDGOMr6PNxUXr3LnTRK9VcgGOgWN4A46BYxjIG7qjxMREKyhIqKlJjaessalqUrrreBN6jK5vtDSYxdqG6JwyN96iR4AW72TOHzeTk7NeTOmMfpbXFh2eeWhZW0dKvLbo8H1KcpYd7+rL0+GXztLklLnVNkSjn4X+agVEsCYYaNAyWJye5x4SZpCaapSaapSWZpSeboRRNimJaWenR/J6pAQCjoFjeAOOgWM8yB66CILU1h5VUpJlMCQn2FV0ctX/tW7c6SfRF0WSOLZn/0rgLfqF6aFnikbvneXu3oy+wo+RlfczZgDCeLL+9udW9OB49Avdf7YLfVf42b8S0GMlJrjV/dDJ6C1hpvHxBjt3GqakGPL1NTBQIzjYa3BwkOjVSGrAMXAMb8AxcGwUCoQugiBPnjwxNNSXkxObYFeRpa/k7W/ayO/ec3QLjNRHL6LH+115kLZtpyVv0SeEyRt//6ivAD0zxhRlDYoy4JUbfTxQ5BPyYnD/tp2W6Arg6G5wkdKACNbE7+LS3fTwaKuICP3kZIPt2w127DDYscMQo2xKioGdnWplJQWKkZIBcAwcwxtwDBxDqBK6o+zcuVNeXlJVdYJdRVljE9WwaNvrLdkTr+zRdupSbFr+i0Iwqbscf78az1tEX4Q4+1cCp8hZUFk5Rc7ovVH0P/z9ajy6Bk1avuOpS/yLqWLatcdZ25LsA4NYCQn6SUn6SUkGfH0NDtZwcDBtbm4meqVRDHAMHMMbcEzEHaNS6CII8vfff+vqasvKbpxgV1FHR9bUXD0iln3z6STK1l2IQV9mwFRQQy+WH/RDD4ifoqzVp8PRBWIm+P93O3P53qyGbrdas+O2O/gF6MfGsuLjWfHx+gkJ+omJWGUTE1nW1io5OelEryuqAo6BY3gDjomyYxQL3VGysjgKCtITDMTnKRsUZvXnzcmHBY429GzSTY8zopLMeItxqVZ/PXpxwmeKsv71KB19k3hUkhn6tvf4NOspduz8rdStCfa+/qyoKOa2bXqxsay4OP6+bt7McHOzaWlpIXoVUR5wDBzDG3BMNB2jZOgiCNLR0eHk5CApuWHiszS6urKGRiqevqYHjkVNWpMF3WobomvOvrjPDD2UYOqyYp54tD4K/T8nbU+HS36tiwqJsPLx042MZEZHM7du1YuJ0YuJ0RurbECAmrm5xtGjNUSvGfoAjoFjeAOOiaBjVA3dUZqamgwN9aWkfp7YVyZTlslUYDsytyU7NTVnTl0XXkNPUMV9eYAARlbM7FTowuVTb03NnMRUF28/I19fnYgI3chIZlQUMyqKv68hIRqmpoy0tO3Dw8NErxAaAo6BY3gDjomUY9QO3VGOHavV1FSTll4/BWXljE0Ym72MUnI8bj4d96axSRt6Z/NRbwGvEAzmT4K2G0+yOfmeAcFm7h66W7Zoh4bqhIXphIfrhofr8lU2KEjd2FghOjqkp6eH6JVAc8AxcAxvwDERcYwOoTtKTU0Nk6ktIbF+Yl/19ORGm4mZmpun0bZkpzNXkscrwyaE1jpS+vuV5MRUF78gU9fNOr6+mlu2aAcHa4eE6ISE6Iznq48Pw9BQKSoq5NmzZ0R/8CIEOAbgDThGe+gTuqOcPn3ayEhfSmqjior4pMqyWHIslpyBobKtva7fFovUHI/6pp2vsos3xfZkqLi+aWdarseWcMvNnvourpq+vloBAVqBgVpBQdpBQdoYX9HK2tnJGhioJifH9/f3E/1hiyjgGIA34BiNoVvojvLo0SNPT3d5eWlZ2fWT+qqvL2dgIG9gIK+vL29oqGxjp+PubRQcYZ2R733iQsLf3NxXt/NWa86J8wmcfK/QaBvfQFNnN6aDo7qHh7q3t4aPj6avr6afn6afn6a//7jK+vio6evL2NgYVVcfJPrTBRAEHAPwBxyjJfQM3VEGBgbKy8v19fWkpTcqKGyYorKGhvJGRgrGxgpGRgoGBormlho2bB2XzQY+AaaBYVbhMXYJKS55ZX6V1WFV1WGHT8f81hD/W0P84dMxVdVhldVhuaV+iakuEdvYWyKs/LeYe/gYOTgz7R217exUXVxU3d3VPTzUPTzUPT01vLw0vL01JvbVz0/D0FDK0FA9NHTLw4cPif5EASzgGIA34BjNoHPo8mhvb4+Li2UyNaWlxeTk1k/dVxMTBRMTBVNTRTMzRXNzRXNzRQsLJQsLJXNzJVPT583ERMnUVMnMTNncXNnSUtnGRtnOTsXBgeHoyHByUnV2VnV2VnVxUXV1VXNzU3NzU9u8WW1SZd3cVFgsKQMDNW9vt0uXLhH9+QGTA44BeAOO0QORCF0eXV1dubnZRkYG8vLSEhLrVFXFp62spaWSlZWSlZWytbWyjY2yra2yra2KnZ0Km61ib69ib88Q1Fd3d1UjIwktLSljY53w8OBbt24R/WkB0wEcA/AGHKM0ohW6aC5duhQWFsJiMRUVZaSk1svLrx9Vdnq+Tk9Za2s5XV1xNTUpfX0Nd3fnI0eqe3t7if5ggBkDHAPwBhyjHKIbumju3buXn5/HZtsxmdpKSrIbN67ZuHGFisoGPT2ZmdpVtLdXMTOTUVdfr6i4TlVV2tBQy87OIjk5/uLFi0NDQ0R/AADugGMA3oBjlABClw+HDx/+6qtF33//w3ffLV60aPH33y9eunTx8uXfr1jx/apVS37+eYWk5GopqVUyMmsUFX9SVFyrqLhWRWWdvPw6efmfFBR+lpFZJyn5k5TUBhmZTVJSYlJSkuLiEhs2SIiLK6xcKXbgwAGi3x9APOAYgDfgGDmB0OVDXV3d4sUrxcTkpaVVlZR01NUNdXUtjIzYFhautraeNjbuNjbutrbubLans7O/o6OPm1tgYOC20NCk2FhOenppUdGhw4cbTp5sqqm5UFZWm5a2OzIyw9Nzq6Wlt7i4al1dHdHvDyAecAzAG3CMnEDo8mECWdlsb1fXIC+viMDA2LCw7TExGYmJuSkpxVlZlfn5v5SVHd2798TBg+dqay+CrMAEgGMA3oBj5ARClw8gK4A34BiAN+AYOYHQ5QPICuANOAbgDThGTiB0+QCyAngDjgF4A46REwhdPoCsAN6AYwDegGPkBEKXDyArgDfgGIA34Bg5gdDlA8gK4A04BuANOEZOIHT5ALICeAOOAXgDjpETCF0+gKwA3oBjAN6AY+QEQpcPICuAN+AYgDfgGDmB0OUDyArgDTgG4A04Rk4gdPkAsgJ4A44BeAOOkRMIXT6ArADegGMA3oBj5ARClw8gK4A34BiAN+AYOYHQ5QPICuANOAbgDThGTiB0+QCyAngDjgF4A46REwhdPoCsAN6AYwDegGPkBEKXDyArgDfgGIA34Bg5gdDlA8gK4A04BuANOEZOIHT5ALICeAOOAXgDjpETCF0+gKwA3oBjAN6AY+QEQpcPICuAN+AYgDfgGDmB0OUDyArgDTgG4A04Rk4gdPkAsgJ4A44BeAOOkRMIXT6ArADegGMA3oBj5ARClw8gK4A34BiAN+AYOYHQ5QPICuANOAbgDThGTiB0+QCyAngj4o4NDCADA0R3gu6IuGOkBUKXDyArgDci7lhcXG9YWA/RvaA5Iu5YY+NQY+MQ0b3gA4QuH0RcVkAIiLhjkZG93t4QuvgCjpHTMQhdPoi4rIAQEHHHSLtBpBPgGDkdg9Dlg4jLCggBEXeMtBtEOgGOkdMxCF0+iLisgBAQccdIu0GkE+AYOR2D0OWDiMsKCAERd4y0G0Q6AY6R0zEIXT6IuKyAEBBxx0i7QaQT4Bg5HYPQ5YOIywoIARF3jLQbRDohao5panaiF0nrGIQuH5qamsTENmloaGloaGtrM3V1WUymvr6+0fLlK1esWL127XoxMTEZGWllZQVNTQaLpWFiomttbeDoaMpmm1hZGZmaGhgYsBgMTQ8PH2dnDzbb2dKSbWpqra9vKiUl19TURPT7A4hHxB0j7QaRTtDbsRMnBr/+uv2117john4AaR2D0BUAZWUVOTl5fX0tJyeTkBD7nTu9yspCa2vjGhvTm5sLh4b2PnxYcPbsjsrK8ORkDx0ddaL7C1APujpGlaMQUYAejs2ezT12bBD9m59+6kAvktYxCF0BoIesAJmhh2PUPQoRBejh2JtvcgcHJ3oAaR2D0BUAesgKkBl6OEbdoxBRgB6Off11++3bw+jfrF7djl4krWMQugJAD1kBMkMPx6h7FCIK0MMxb++eN9/kUvFsCoSuANBDVoDM0MMx6h6FiAL0cOyzz9qqq1+aqYoqZ1MgdAWAHrICZIYejlH3KEQUoIdjb7zBHZpwDiHSOgahKwD0kBUgM/RwjLpHIaIAPRz78sv2Bw9eSl2qOAahKwD0kBUgM/RwjLpHIaIAPRx7/XXsqRSqnE2B0BUAesgKkBl6OEbdoxBRgB6O6eg8m/g3pHUMQlcA6CErQGbo4Rh1j0JEAXo4NhaqFGCB0BUAusoKkAd6OEbdoxBRgB6OUbcAC4SuANBD1klpbBxqbJzwihyAG3R1jCpHIaIAPRyjbgEWCF0BoIesk0JaWUUBejhG3aMQUYAejlG3AAuErgDQQ9ZJIa2sogA9HKPuUYgoQA/HqFuABUJXAOgh66SQVlZRgB6OUfcoRBSgh2PULcACoSsA9JB1UkgrqyhAD8eoexQiCtDDMeoWYIHQFQB6yDoppJVVFKCHY9Q9ChEF6OEYdQuwQOgKAD1knRTSyioK0MMx6h6FiAL0cIy6BVggdAWAHrJOCmllFQXo4Rh1j0JEAXo4Rt0CLBC6AkAPWSeFtLKKAvRwjLpHIaIAPRyjbgEWCF0BoIesk0JaWUUBejhG3aMQUYAejk0KaR2D0BUAkBXAG3o4Rt2jEFGAHo5NCmkdg9AVAJAVwBtwDMAbcIxYIHQFAGQF8AYcA/AGHCMWCF0BoKusUIyePNDVMQzgGIGAY8QCoSsA9JAVitGTGXo4NingGIFQ2rETJwa//bbjjTe4Skqdt24NGxg8e+cd7uzZ3PXrO/7886XSo6R1DEJXACgtKw8oRk9m6OHYpIBjBEJpxxYtas/L6x8YQAoK+t9+mxsf39vTM9LTMxIX17t8OTW2YxC6AkBpWXlAMXoyQ2nHjh8f+Oqr9tmzucrKXffvD6mpdc2Zw50z5/ki+pHgGIFQ2rF//ev55mtwEHntNe7A/9c96+9HZs2ixhk7CF0BoLSsPKAYPZmhtGMrV3ZkZfX19yOZmX3z57dHR/f29Ix0dg57e/coKMC4AbJAace+/769uLhvaAgpK+t/+20uh9PX14f09SEZGb1LllBjOwahKwCUlpUHFKMnM5R2bNas50cevb3Dr73G7e4eGf19d/fIG2+AY2SB0o6dODH43XftvGu6LFbXO+9wZ83irlnTee4cXNOlHZSWlQcUoyczlHZs9mwulzsy9vddXSNvvQWhSxYo7djUIa1jELoCQA9ZoRg9maG0Y0uWtGtodI79vaVl95o1cHqZLFDasalDWscgdAWAHrJCMXoyQw/HJgUcIxBKO9bUNLRuXcesWdxPPmmztX328OGL4SlUuUwGoSsAlJaVBxSjJzP0cGxSwDECobRjEhKdsbE9vb3DbW3D+/cPMBhdtbXPL5ZRZTsGoSsAlJaVBxSjJzOUdmzRovYFC56PID11amD16vZZs7j/+Q9XUbHz+vWXBsyDYwRCacfefJPb3/9icWgI8fTsrqjoRyB0aQmlZZ0AKANJHijt2OzZ3K6u5wOpvv66PS2tr68P6e4eSUjog2u65IHSjr3xBretbRjzy9DQ3ry8fghdGkJpWXlAGUgyQ2nH5s5t6+h4Hrr/+teLwgW9vcNwyxB5oLRjy5Z18B2sFxnZS5XtGISuAFBaVh5QBpLMUNqx4ODe0bJ8CIIsXNh269YwgiC9vcM+Pj3y8nCkSxYo7djUIa1jELoCQA9ZoQwkmaG6Y8nJvQsWtC9Z0v7BB21LlrT/+GPH3LltZmZdra0v3b8LjhEI1R2bIqR1DEJXAOghK5SBJDP0cOz27eFTpwZOnBi8cmVwYIDPA8AxAqG0YzSo7w2hKwCUlpUHlIEkM/RwbFLAMQKhtGM0qO8NoSsAlJaVB5SBJDOUdowGhQtEAUo7RoP63hC6AkBpWXlAGUgyQ2nHaFC4QBSgtGM0qO8NoSsAlJaVB5SBJDOUdowGhQtEAUo7RoP63hC6AkBpWXlAGUgyQ2nHaFC4QBSgtGNTh7SOQegKAD1khTKQZIbSjtGgcIEoQGnHpg5pHYPQFQCQFcAbcAzAG0o79umnbWpqXeHhk8tDWscgdAWA0rJOHdLKKgqAYwDegGPEAqErACArgDeUdowGRyE05sGDByYmJo6Ojt9888233y5cunTxihVL1qz5YcOGHyUkVsnIrFVW/lldXUxbW1JTU0JDQ1xB4WdJydWrVy/z8fGwsbF68OAB0e9AMEjrGISuAFB6gzh1SCurKACOAThRV1e3ZMkKOTkFHR11CwuWq6tZUJBdXJwrh+NbWhpy8ODWU6eSL1/OuHcvv6OjfHh43/37+WfP7tizJyI11dvUVL2uro7odzAJ+vrUGJsCoSsAsEEE8AYcA3CC9qE7bx41ButB6E5Ob2/v4cOHDx8+vGjRooULv12xYtmGDavk5NZraEgYGsrZ2Ki4uWkFBLCiokz9/VmOjurGxgpqauJLly4efVZvby/R7wBBEKSvD4mL6xUT65w7t+1f/+LOmsWdN4+7aVNnfHxvX99LjyStrDTm/Pnz33zzrZiY2NKlS5ctW/Tjj0vXrPlhw4aVEhKrZWV/UlRcr6q6UVtbgsWSNjKSMzGRZzKlVFU3KipuYDIZq1f/cP78eaLfAYKAY+SGHqH73XfYaUkpd+sjhO7k1NXVff75l6tWrdm0aYOioqSWlryREcPWVsvNjRUQYBIZaZWY6MDhuBUWeu/ZE1hdHVpU5L19u2NIiLmzs564+GqSyKqu3uXn13P16lBb2/DwMDI0hHC5I1euDHp6dsMk9oRDjw0iOEZm6OHYsWODgYHdfP8ER7r0gR6yvvnmizqlaLq7KVM+jcaAYwDeVFdXv//+h19++dVXX329YMGChQu/WbJk0YoV369atWzduhWbNq2UlFwjJ7dORWWDhsYmbW0JTU0JNTUxGZm1Gzas+OKLz44cOUL0O3hOcjL/c4dwTZc+0GODqKbWFRnZe/v2cFfXyPAwMjyMdHYO//33UGhor7p6F/qRpJWVxoBjAN709/evW7dx5crnbe3aTfLyCiyWJptt5O9vExfnmp3tv2dPRF1d4uXLGQ8fFvT1Vd29u+vQoZi4ODcFBZl+dIVPKkBaxyB0J4ceG8Te3uGYmJ4NGzo+/LDtn//k/vOf3Llz28TEOuPi4Hob8YBjgBAwN7dcsWL9aOj+/LOEsrKykZGOk5PJli12SUnuu3YFHjgQdfp0clNTZktL8dDQ3mvXsiorw4OCbGxsbIjuu8CQ1jEI3cmpqan56KN5Cxd+t2zZkrVrV4iJrZaRWaeiIqatLWloKGdhocRmq7m5afv66oWEGEZFmfr66jk6qpuYKGhoSC5b9m1tbS3R70AwSCsrjTl9+vScOW//73/z//e/+V98Mf/LL+d/882CxYu/+/87KVdKSa2Rl1+norJRS+v5cCoWS0ZJaYOY2Kr333/v7NmzRL8DwQDHCOHKlSvLl68eDd1Nm6TV1BhmZkw3N7OwMIedOz2LirYcOhRz9uyOmzdzuNzSgYE958+nFhYGMZkqV65cIbrvAkNaxyB0J+fOnTtz536ycOHS0fbtt8tWrVotKblRVVVaX1/FxkbL3V0/ONg8Lo6dkeFaXOyzf/+WkhKf6GgbNlv7q6/m3717l+h3IBiklZXeSEnJ8k79/fSTuKKior6+loODcWCgbXy8W25uwN69kSdOJF65wmluLhwY2PP337kHDkTFxLioqakQ3XeBAceIQlFRadQxKSlZLS01Kyt9T0/LqCin9HTvsrLQmprYP/5IuXMnr7OzvKOj/NSpZA7HV1dXi+heC8bICIKgHBvhM8yASCB0p4SamgZvg7hunbiSkpKBgbaTk0lQkF1i4ua8vMD9+6NOnUq6ejXz8eOigYE9N25k790bGRHhxGLpEt13gYENIiFEREQuWfL8KGTDBkkGQ9nYWNfFxTQkhJ2c7FFQEPTLL9Fnzmy/di3r6dOSkZF9V65wyspCXVwMt26NJrrvAgOOEUVqavr3369atWqjnJw8k6lpZ2fo62u9bZtLVpZfZWX4b7/FX7yYfv9+fk9P5aNHhTU1sV5eJpmZHKJ7LRhsdtfQ0HPHhoYQNrtr8ucIEQjdKbF37/4lS1aNbhA3bpRSVVUxMdF1czMLDbXfscOzsHDLwYNbz57dcf16dmtryfDwvosX04uLg01NNQ8cOEB03wUGNoiE0NnZuWbNz7xTfxoaqubmeu7u5hERjikpXiUlwdXV2+rrd966ldPWVtbTU1lfvzMvL1BdXaGzk8/EPiQHHCOK0eFUP/30/MjB0dE4MNAuIWFzXl7Avn2RJ08m8U6l3LqVs29fpK4ug3JDqMTFO1VVu8LDe7y8elVVu8TFyfUFgdCdEiMjI2JikqMbRAkJGU1NVQsLloeHRWSkU1qad2lpyJEjsX/8kfL337kdHeVdXbt//317dra/hobyCNlObUwB2CAShb6+4Y8/bhg99aejo25tre/tbbV1q3NGhs/u3WFHj8adP5969+6urq7dra0ldXWJO3Z4WFqaE91rwWhpGUFQjo0uAsLE3Nxy3bpNDIayiYmuq6tZSIj99u0ehYVBv/669fffn59KQZD9ly5l7Nrl7+RkR3R/BaagoH/27LbFi9sXLuyYPbutoIBcOw0QulPFy8t72bKfVq7cKCMjp6urYWNj4ONjFRPjkpnpW1ERfuxY/MWLaffu5Xd3V7S0FB07Fh8VZR8Q4E90rwWjpmYQQW0QRxcBoXHq1Knly1etWSMmJ6egp4e9l+P48YRLlzIePizo7a28fz+/ujrGxkb7zJkzRPdaML77ru369eFRx65fH/7uuzaieyRyXLlyZe3adRoaz48cIiIcU1O9S0tDDh/e1tCw89at3Pb2su7uirNnd7DZelQcQsXljnz+Ofcf/+D+4x/czz/ncrnk2rGD0J0qzc3NK1euXbt2k4KCor6+lr29UUCAbVzcSyNcHj0q7O+vunMn75dfovX1Gc3NzUT3WjDmz29PSOgd3SAmJPTOn99OdI9EDikp2fXrJZSUlAwNtTH3cpw6lfzXX5ktLUWDg3uvXcuqqopgMjWI7q/A2Nl1L1jQ7u7ebWvbs2BBu50d/+pCAK4wGIzRUyk+PlZbt7pwOL4VFWG1tXEXLqTdvbvr2bPdT54UHz+eYGLCJLqn02Tduo7RwpDr1nUQ3RcsELoCoKam8fPPkioqysbGOs7OpsHB7KQkd/QIlydPioeH9129mlleHmpqakB0fwUmOrrnvffaVFS6ZGS63nuvLToaTjILm4iIyDVr1quqqpia8rmX48aNbC63dHBw74ULaQkJTnFx24jur8CcPDkwZw73o4/aPvigbc4c7smTA0T3SBRJT09XVpZls58fOeTk+O/dG4kpi5GS4pqdnUl0T6cJi9U1GrosFrlGUSEQugKxd+/+1avXqaszzM31Nm82Dw932LnTq7j4pREufX1Vf/yR4utrSsUhVDdvDn/0Udvbb7e99Rb3o4/abt4cJrpHIkdnZ+fGjRs1NdUsLVmenhaYezlu387r7Czv7Cw/fTrZxESDikOoBgeRhQufH4UsXNgxCFcwiKC/v19eXpp3KiU/P+iXX6LRZTGamjLNzbUoN4SKR0FB/z/+wX399VayXdBFIHQFYmRkRFJSSltb3dpa38vLMjraOT3dp7w8FD3ChcstPXEi0cBAk4pDqBAE+eGH5xvEH34g3WkZEcHQ0FhbW83W1sDX1zomZuy9HBXNzYXV1TF2dpZE93SaSEk9PwqRkiLdUYjoYGdnY2ysvnmzcWiobXKyS16eT1VV6LFjMX/+ub2pKb28PNDNzZHoPk4fLnfk3Xe5//lPK9ku6CIQuoLi7e2trq7MZhv6+dnExrpmZflVVb00wuXBg4KSkqDg4ACiezpNGIznG0QGAzaIxHDmzBlZWUleWQx+93LkBgSYUW4IFQ9Hx+5Rxxwd4YIuYTQ0NHz00fu6urK6urJMJrrJMZly777774aGBqL7+Ep88UX7p59yJ3+c0IHQFYzm5mYZGcmxZTF4I1yuX8+2t9el3BAqHtHRPaMbRLigSyAMhgq6LAb6Xo6RkX2XL2eYmVF1hAuCICdPDsyaxZ01qw0u6BJLeXmJpqaytTXLzs6Q16ys9NTVFSsqKoju3auyfHnH4sVkHAoKoSswLBb/shhcbunQ0N4LF1KtrY2J7uP0uXlzeM6c1rfeaoULugQSEhLyww+LNm1aLS39k4LCegZjg5bWJl1dSQMDGUNDWUnJVZGRYUT3cfoMDiIffdT+/rKdz+oAAAPUSURBVPttcEFXUPbt61+1qmMG27Jllz/7zPyTT+Q+/VTs0083ffyx3GefWS9ffnVmX4WQ9t57be+80zrtp+/bh9fFYAhdgdm9u/zbb+crK4upqGxSUxNXVxfX0JDU0pLW1pbW1pZevPjrqqoqovv4SnzyCRczHTQgZLq6umRkxMLD2VFRDpgWHs5WVJTu6aH2eYgFC9q//JKMRyEkp6trpL5+CNpUmoNDt6lp97Sf3tWF18VgCN3p4OLiaG+v5+9vg2k2Nnp+ft5E9+5VWby4/ZtvYIMoMD09IzdvDs9UO3Xqnro6U0JCnMFQ0tRU1dRUZTAUxcXFNTUN6utbZvCFCGlLl7YvWtQ+7af39JBudAxANkhbWU9UQreysl9RsXMG29KlRz7+OHnu3Jh586LnzYueNy/244+Tly+vndlXIaS9/37bO++0TvvplZWkG6MvHJKSej74oG1m27vvXp0zp+ytt3Leeitnzpyyd99tmvGXIKS98cbTN96Y/tOTksi4MRUCjY1DUVG90KbSFBQ6JSQ6p/30xsYhnFaiCIXuunUdM95Wrny4ZMlfS5b8tXLlQzz+PyHtww/b3n6bO+2ni2zoNjYOeXl1Q5tKW7SI+9//tk/76fhtEEkOOEYDx0QldIGp8+OPHV99BaeXARwBxwC8Ia1jELoAli++aJ87F8rQAzgCjgF4Q1rHIHSBl2htHXnnndY33+Q2NYnoGTwAb8AxAG/I7BiELvASOTn9r7/Ofe01bni4iI5VAfAGHAPwhsyOQegCL6Gt3TlakUpFBcpAArgAjgF4Q2bHIHSBl1i9+rmsy5fDhAcALoBjAN6Q2TEIXeAF9+4N//e/7aNT+334YfuNG6S7HAJQHXAMwBuSOwahC7wgIaGPN4n9+++3RUX1Et0jgG6AYwDekNwxCF3gBfPndyQk9I6WT0tI6J0/n4x3uQGUBhwD8IbkjkHoAi84cmQQQdUsramBWWCAGQYcA/CG5I5B6AJYSFsoHKAN4BiAN6R1DEIXwEJaWQHaAI4BeENaxyB0ASyklRWgDeAYgDekdQxCF8BCWlkB2gCOAXhDWscgdAEspJUVoA3gGIA3pHUMQhfAQlpZAdoAjgF4Q1rHIHQBLKSVFaAN4BiAN6R1DEIXwEJaWQHaAI4BeENaxyB0ASyklRWgDeAYgDekdQxCF8DS2DjU2EiuEuEAzTh0aODAgQGiewHQGdJuxyB0AQAAAEBIQOgCAAAAgJCA0AUAAAAAIQGhCwAAAABCAkIXAAAAAIQEhC4AAAAACAkIXQAAAAAQEhC6AAAAACAk/g/AsptIoReMZQAAAABJRU5ErkJggg==&quot; width=&quot;640&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
En la figura se pueden observar varios relojes. El primero indica 0 
mm y en el segundo la lectura será 0,26 mm si bien el valor exacto es 
mayor (0,263 mm según se indica ), la lectura nunca debe de darse con 
mayor precisión de la resolución que tenga el instrumento. En el tercer 
reloj la lectura será de 1,33 mm.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
El uso mayoritario del reloj comparador es para determinar pequeñas 
diferencias de medida, en alienaciones o excentricidad, cuando se emplea
 para en dimensiones que abarcan varios milímetros, es preciso 
percatarse, en la aguja pequeña, del milímetro exacto en el que se 
encuentra la medida, que puede ser más dificultoso que señalar la 
centésima de milímetro, indicada con la aguja grande, como se puede ver 
en la figura.&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
El reloj comparador no se usa para obtener medidas absolutas de 
dimensiones, sino que se emplea mayoritariamente para determinar la 
diferencia de dimensiones, tanto en la inclinación de una superficie o 
en la excentricidad de un eje o rueda. En este caso se busca un punto de
 referencia, normalmente el de menor medida y luego se determinan las 
demás cotas respecto a esta referencia.&lt;br /&gt;
&lt;br /&gt;
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&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
En el caso de la pendiente de una superficie, se coloca el reloj 
comparador, en el soporte correspondiente, y tocando con el palpador se 
localiza el punto mas bajo,
 que se emplea como referencia, luego deslizando el reloj se observa la 
variación de medida en los distintos puntos de la superficie.&lt;br /&gt;
&lt;br /&gt;
Para comprobar la excentricidad o la redondez de un eje, se coloca este entre puntos, en un plato de garras o apoyado en cojinetes de modo que pueda girar libremente. Colocado el reloj en sentido radial respecto del eje a comprobar, se toma un punto como referencia y, girando el eje, se va comprobando la variación del radio en toda la periferia.&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a 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&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img alt=&quot;&quot; border=&quot;0&quot; 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&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;br /&gt;
La utilización del reloj comparador para la verificación de cotas, 
mediante la medición de diferencias de alturas, es similar. Se establece
 un punto de la superficie como referencia y se determina la diferencia 
de alturas de los demás puntos de la superficie respecto a esa 
referencia.&lt;br /&gt;
&lt;br /&gt;
Localizado el punto de referencia, se pone a cero la medida indicada 
en el reloj, girando la esfera haciendo coincidir el cero de la escala 
principal (centésimas o milésimas de milímetro, según el caso) con la 
aguja en ese momento. Esto normalmente no se hace con la escala de los 
milímetros, lo cual ha de tenerse en cuenta si la variación de medida es
 mayor a un milímetro, en cuyo caso la aguja de las centésimas dará mas 
de una vuelta completa.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;b&gt;Reloj comparador digital&lt;/b&gt;&lt;br /&gt;
&lt;br /&gt;
La aplicación de la electrónica a los aparatos de medida ha dado 
lugar a relojes comparadores de funcionamiento electrónico, que pueden 
presentar la lectura de la medición en un visualizador digital.&lt;br /&gt;
Un reloj comparador digital tiene una forma similar al tradicional, 
pero con las ventajas de la tecnología digital, presenta la información 
en una pantalla, en lugar de manecillas y permite, en muchos casos, su 
conexión a un ordenador o equipo electrónico.&lt;br /&gt;
&lt;br /&gt;
Su funcionamiento es similiar al indicado, como se puede observar en la siguiente figura:&lt;br /&gt;
&lt;br /&gt;
&lt;img alt=&quot;&quot; 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&quot; 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&lt;br /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/8065629927634137890/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/hablemos-del-reloj-comparador.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/8065629927634137890'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/8065629927634137890'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/hablemos-del-reloj-comparador.html' title='Hablemos del reloj comparador...'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-4829194912047646857</id><published>2011-10-22T03:31:00.000-07:00</published><updated>2011-10-22T03:39:14.977-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Hablemos de la regla de senos...</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
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&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;A 
fin de facilitar la medición de ángulos, lo que se hace dificultoso en la 
técnica en algunos casos realizarlos con transportador o goniómetro, se utiliza 
la regla o barra de senos que permite medir un ángulo cualquiera utilizando 
resoluciones trigonométricas con error menor a 5 minutos. Se utiliza este 
instrumento para la construcción de útiles, herramientas, en trazados, para 
efectuar&amp;nbsp; ajustes, comprobaciones y otras operaciones que requieran gran 
exactitud en la medición u obtención de piezas angulares.&lt;/span&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.tecnologiamecanica.com/teoria_y_practica/METROLOGIA_archivos/image041.gif&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;320&quot; src=&quot;http://www.tecnologiamecanica.com/teoria_y_practica/METROLOGIA_archivos/image041.gif&quot; width=&quot;305&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;La regla de senos 
(Fig.22.1-a), está constituida por una barra de acero (F) de alta resistencia al 
desgaste, cuidadosamente rectificada, de gran robustez, con agujeros (o) en su 
cuerpo para hacerla más liviana. Sus dos extremos están rebajados y en cada uno 
de ellos se encuentra dispuesto, haciendo contacto con las superficies de los 
rebajes de la barra, un cilindro (d) de acero especial templado, cementado y 
rectificado. Por lo tanto la regla posee dos de estos cilindros los cuales 
tienen igual diámetro y longitud y hacen contacto con las superficies de rebajes 
por dos de sus generatrices a 90º, estando atornillados. Los centros de los 
cilindros se encuentran sobre una línea (A-B) exactamente paralela al eje de la 
barra y a sus superficies superior e inferior. La regla apoya sobre una mesa (m) 
de máquina herramienta o mármol 
de ajuste, por medio de la parte inferior de los cilindros&lt;/span&gt;&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;.&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;Para efectuar la medición, la regla viene provista de un 
sistema de bloques calibrados patrones, denominados blocs, galgas, calzas o 
escantillones, que se encuentran construidos de material especial de óptima 
calidad (INVAR), templado, perfectamente rectificados, rasqueteados y lapidadas 
sus superficies, con dos caras opuestas paralelas y planas, siendo su precisión 
de fabricación función de sus dimensiones, que van desde 1/10000mm para los de 
10mm hasta 1/1000mm para una galga de 100mm.&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.tecnologiamecanica.com/teoria_y_practica/METROLOGIA_archivos/image043.gif&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;183&quot; src=&quot;http://www.tecnologiamecanica.com/teoria_y_practica/METROLOGIA_archivos/image043.gif&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
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&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/div&gt;
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&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;La medición de un ángulo con la regla de senos se efectúa de 
la manera siguiente (Fig.1.22-b): se apoya sobre la base (mármol E) uno de los 
cilindros de la regla y debajo del otro se agregan las galgas de control, hasta 
una altura H para lograr el ángulo a deseado; teniendo en cuenta que la distancia entre los 
centros de los cilindros es una constante C y &lt;/span&gt;&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;si es H la altura de los bloques y alfa el ángulo que forman las superficies de la regla con la 
base, se tendrá:&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
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&lt;a href=&quot;http://www.tecnologiamecanica.com/teoria_y_practica/METROLOGIA_archivos/image042.gif&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://www.tecnologiamecanica.com/teoria_y_practica/METROLOGIA_archivos/image042.gif&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt; &lt;/span&gt;&lt;/div&gt;
&lt;br /&gt;
&lt;h3 style=&quot;font-weight: normal;&quot;&gt;

&lt;span style=&quot;font-size: x-small;&quot;&gt;&lt;span style=&quot;font-family: Verdana;&quot;&gt;Ejemplo&lt;span style=&quot;text-decoration: none;&quot;&gt;: se desea obtener un ángulo de 
26º16&#39;, por lo tanto se debe obtener con las galgas, para C = 100mm:&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/h3&gt;
&lt;h3 style=&quot;text-align: center;&quot;&gt;

&lt;span style=&quot;font-family: Verdana; font-size: x-small; font-weight: normal;&quot;&gt;H = C.sen a = 
100mm × sen a 26º16&#39; = 44,254956mm&lt;/span&gt;&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;&lt;span style=&quot;font-size: 11pt; text-decoration: none;&quot;&gt;&lt;span style=&quot;font-weight: normal;&quot;&gt; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/h3&gt;
&lt;h3 style=&quot;font-weight: normal; text-align: justify;&quot;&gt;

&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;Es 
decir que con las galgas se debe lograr una altura de 44,254956mm. Las galgas o 
escantillones se fabrican desde 0,25mm hasta 100mm, pudiendo estar en 
centímetros, milímetros, pulgadas o múltiplos y submúltiplos de 
éstos.&lt;/span&gt;
&lt;/h3&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;Para ángulos muy pequeños, el valor de H es tan reducido 
que no se pueden efectuar las combinaciones necesarias. En este caso se pueden 
colocar los bloques debajo de cada cilindro, lográndose la disposición que se 
indica en la figura (Fig.1.23).&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div class=&quot;MsoNormal&quot; style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;Para lograr ángulos de mucha precisión se utilizan mesas 
de senos que permiten dar a la pieza la inclinación correcta. Estas mesas pueden 
ser simples apoyos de la regla de senos (platos) o tratarse de dispositivos 
especiales como mesas de senos circulares articuladas o mesas inclinables 
hemisféricas.&lt;/span&gt;&lt;/div&gt;
&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt; &lt;/span&gt;&lt;br /&gt;
&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt; &lt;/span&gt;&lt;br /&gt;
&lt;div style=&quot;text-align: center;&quot;&gt;
&lt;span style=&quot;clear: right; float: right; font-family: Verdana; font-size: x-small; margin-bottom: 1em; margin-left: 1em;&quot;&gt;&lt;/span&gt;&lt;span style=&quot;font-family: Verdana; font-size: x-small;&quot;&gt; &lt;/span&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/4829194912047646857/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/hablemos-de-la-regla-de-senos.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4829194912047646857'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4829194912047646857'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/hablemos-de-la-regla-de-senos.html' title='Hablemos de la regla de senos...'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-2779808911789024565</id><published>2011-10-22T02:39:00.000-07:00</published><updated>2011-10-22T02:39:44.044-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Hablemos de calibres fijos...</title><content type='html'>&lt;div style=&quot;text-align: justify;&quot;&gt;
Se llama galga o calibre fijo a los elementos que se utilizan en el mecanizado de piezas para la verificación de las cotas &lt;span class=&quot;notranslate&quot;&gt;&lt;span class=&quot;a&quot; style=&quot;left: 645px; top: 842px;&quot;&gt;o características varias mediante una evaluación simple de pasa / falla de la pieza inspeccionada de forma &lt;/span&gt;&lt;span class=&quot;a&quot; style=&quot;left: 645px; top: 929px;&quot;&gt;rápida &lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div&gt;

&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
La galga también es una unidad de medida, ésta es utilizada para indicar el grosor (espesor) de materiales muy delgados o extremadamente finos; la galga se define como el grosor de un objeto expresado en micras multiplicado por 4. Así, por ejemplo, una lámina de polietileno que tenga 25 micras (0,025 mm) de grosor será de 100 galgas; por tanto, la galga equivale a un cuarto de millonésima de metro (2,5 × 10&lt;sup&gt;-7&lt;/sup&gt; m). En el mundo anglosajón las medidas en los calibres fijos también se pueden encontrar indicadas en milésimas de pulgada.&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://upload.wikimedia.org/wikipedia/commons/thumb/c/c9/Thickness_gauge.jpg/800px-Thickness_gauge.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;240&quot; src=&quot;http://upload.wikimedia.org/wikipedia/commons/thumb/c/c9/Thickness_gauge.jpg/800px-Thickness_gauge.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;

&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Las galgas que son calibres fijos no siempre indican su medición y 
pueden ser meras réplicas de la pieza modelo, lo cual las abarata, así 
algunas sirven sólo para establecer un patrón, con el que se compara la 
pieza para establecer su validez; están formadas por un mango de 
sujeción y dos elementos de medida, donde una medida corresponde al 
valor máximo de la cota a medir, y se llama «NO PASA» (en inglés «NOT GO»), y la otra medida corresponde al valor mínimo de la cota a medir, y se llama «PASA» («GO»).&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;

&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Las galgas son de acero, templado y rectificado, o de carburos, con una gran precisión de ejecución, también se hacen galgas cerámicas de zirconia. Las dimensiones, dureza y título de las galgas están estandarizados en la norma DIN 2275.&lt;/div&gt;
&lt;h2 style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-size: small;&quot;&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Tipos_de_galgas&quot;&gt;Tipos de galgas&lt;/span&gt;&lt;/span&gt;&lt;/h2&gt;
&lt;h2 style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-size: small; font-weight: normal;&quot;&gt;Las galgas pueden ser individuales, que se usan por torsión (movimiento de deslizamiento y giro), o juegos que agrupan varias galgas con hasta cien placas lisas de diversas formas (rectangualres o redondeadas) y tamaños&lt;/span&gt;&lt;span style=&quot;font-size: small;&quot;&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Tipos_de_galgas&quot;&gt;&lt;span style=&quot;font-weight: normal;&quot;&gt;.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/h2&gt;
&lt;h2 style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-size: small; font-weight: normal;&quot;&gt;En función de la cota a medir se pueden considerar los siguientes tipos de galgas:&lt;/span&gt;&lt;/h2&gt;
&lt;table align=&quot;center&quot; cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;tr-caption-container&quot; style=&quot;margin-left: auto; margin-right: auto; text-align: center;&quot;&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;a href=&quot;http://upload.wikimedia.org/wikipedia/commons/thumb/f/f5/GaugePlugSpecialGoNoGo.jpg/800px-GaugePlugSpecialGoNoGo.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: auto; margin-right: auto;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;198&quot; src=&quot;http://upload.wikimedia.org/wikipedia/commons/thumb/f/f5/GaugePlugSpecialGoNoGo.jpg/800px-GaugePlugSpecialGoNoGo.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;&lt;b&gt;Calibre tapón pasa/no pasa&lt;/b&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align=&quot;center&quot; cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;tr-caption-container&quot; style=&quot;margin-left: auto; margin-right: auto; text-align: center;&quot;&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;a href=&quot;http://www.instrumentacion-metrologia.es/WebRoot/Store/Shops/dcl/4E25/A5FC/C337/40C4/6E11/55EE/0960/75D8/484222_HOFFMANN.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: auto; margin-right: auto;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://www.instrumentacion-metrologia.es/WebRoot/Store/Shops/dcl/4E25/A5FC/C337/40C4/6E11/55EE/0960/75D8/484222_HOFFMANN.jpg&quot; /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;&lt;b&gt;Calibre herradura pasa/ no pasa&lt;/b&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;table align=&quot;center&quot; cellpadding=&quot;0&quot; cellspacing=&quot;0&quot; class=&quot;tr-caption-container&quot; style=&quot;margin-left: auto; margin-right: auto; text-align: center;&quot;&gt;&lt;tbody&gt;
&lt;tr&gt;&lt;td style=&quot;text-align: center;&quot;&gt;&lt;a href=&quot;http://www.btatools.com.ar/images/items/b/337204.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: auto; margin-right: auto;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;313&quot; src=&quot;http://www.btatools.com.ar/images/items/b/337204.jpg&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;tr-caption&quot; style=&quot;text-align: center;&quot;&gt;&lt;b&gt;Plantillas de radios&lt;/b&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/tbody&gt;&lt;/table&gt;
&lt;ul&gt;
&lt;li&gt;«Tapones de PASA y NO PASA»: se emplean en el verificado de los diámetros de orificios. &lt;/li&gt;
&lt;li&gt;«Galgas de herradura PASA - NO PASA»: se emplean en el verificado de los diámetros de ejes y cotas externas.&lt;/li&gt;
&lt;li&gt;«Tapones cónicos con la indicación de profundidad máxima»: se emplean en el verificado de agujeros cónicos.&lt;/li&gt;
&lt;li&gt;«Acoplamientos cónicos con la indicación de profundidad máxima»: se emplean en el verificado de ejes cónicos.&lt;/li&gt;
&lt;li&gt;«Ejes roscados con PASA y NO PASA»: se emplean en el verificado de roscas.&lt;/li&gt;
&lt;li&gt;«Galga para radios o de filete»: se emplean en el verificado de los radios. Se utiliza poniendo junto a la galga la pieza a contra luz, comprobándose si ésta coincide con el radio, procediéndose a su corrección caso de existir alguna fuga de luz. &lt;/li&gt;
&lt;/ul&gt;
&lt;h2 style=&quot;text-align: justify;&quot;&gt;
&lt;span style=&quot;font-size: small; font-weight: normal;&quot;&gt;&amp;nbsp;&lt;b&gt;NOTA: &lt;/b&gt;&lt;/span&gt;&lt;i&gt;&lt;span style=&quot;font-size: small; font-weight: normal;&quot;&gt;&lt;b&gt;Para verificar lotes de piezas de precisión se ha de operar controlando la temperatura, ésta se regula a 20ºC para evitar que se altere la medida de la pieza con la dilatación causada por la oscilación térmica&lt;/b&gt;.&lt;/span&gt;&lt;/i&gt;&lt;span style=&quot;font-size: small;&quot;&gt;&lt;span class=&quot;mw-headline&quot; id=&quot;Tipos_de_galgas&quot;&gt;&lt;span style=&quot;font-weight: normal;&quot;&gt; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/h2&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/2779808911789024565/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/hablemos-de-calibres-fijos.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/2779808911789024565'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/2779808911789024565'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/hablemos-de-calibres-fijos.html' title='Hablemos de calibres fijos...'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-365351692232220565</id><published>2011-10-15T01:17:00.000-07:00</published><updated>2011-10-15T01:18:45.429-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Procalmet"/><title type='text'>AIMME colabora en la difusión de nuestras aplicaciones Calibro.</title><content type='html'>&lt;div style=&quot;text-align: center;&quot;&gt;
&lt;b&gt;&lt;span style=&quot;font-size: large;&quot;&gt;&lt;br /&gt;&lt;/span&gt;&lt;/b&gt;&lt;/div&gt;
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&quot; /&gt;&lt;/div&gt;
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Nuestras aplicaciones Calibro para la gestión integral de los instrumentos de medida de metrología industrial, así como de los procesos de medición en la fabricación de productos, ha sido publicitado por AIMME en su boletín Infometal.com Nº408.&amp;nbsp;&lt;/div&gt;
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Miles de empresas inscritas&amp;nbsp; en los boletines de Infometal, ya pueden las aplicaciones Calibro, para obtener las mejores ventajas competitivas y que estas repercutan en una mayor productividad en la gestión del sistema de medidas, ahorrando costes y aumentado la satisfacción de sus clientes. Disminuyendo las quejas y devoluciones por productos no conformes debido a errores en las medidas tomadas.&lt;/div&gt;
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Las herramientas de estudio de procesos proporcionarán una alta fiabilidad que que los productos o lotes fabricados son conformes a los requisitos de sus clientes. Impidiendo la puesta en marcha de procesos no seguros y estableciendo una frecuencia de inspección coherente y ajustada con la tolerancia de fabricación y la incertidumbre del instrumento de control. &lt;/div&gt;
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Visite nuestra web: &lt;a href=&quot;http://www.procalmetsl.es/&quot;&gt;www.procalmetsl.es&lt;/a&gt;&lt;a href=&quot;http://www.procalmetsl.es/&quot;&gt;&lt;/a&gt;&lt;/div&gt;
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&lt;br /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/365351692232220565/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/aimme-colabora-en-la-difusion-de.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/365351692232220565'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/365351692232220565'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/aimme-colabora-en-la-difusion-de.html' title='AIMME colabora en la difusión de nuestras aplicaciones Calibro.'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-1536246229882776753</id><published>2011-10-05T02:51:00.001-07:00</published><updated>2011-10-05T02:52:06.600-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Importancia de los sistemas de medición y calibración</title><content type='html'>&lt;object height=&quot;315&quot; width=&quot;560&quot;&gt;&lt;param name=&quot;movie&quot; value=&quot;http://www.youtube.com/v/7mv988mNvAE?version=3&amp;amp;hl=es_ES&quot;&gt;

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&lt;embed src=&quot;http://www.youtube.com/v/7mv988mNvAE?version=3&amp;amp;hl=es_ES&quot; type=&quot;application/x-shockwave-flash&quot; width=&quot;560&quot; height=&quot;315&quot; allowscriptaccess=&quot;always&quot; allowfullscreen=&quot;true&quot;&gt;&lt;/embed&gt;&lt;/object&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/1536246229882776753/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/importancia-de-los-sistemas-de-medicion.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/1536246229882776753'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/1536246229882776753'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/10/importancia-de-los-sistemas-de-medicion.html' title='Importancia de los sistemas de medición y calibración'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-7400816828024052595</id><published>2011-09-30T08:46:00.000-07:00</published><updated>2011-09-30T08:46:22.869-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><category scheme="http://www.blogger.com/atom/ns#" term="Otros"/><title type='text'>Utilizando una medidora de redondez</title><content type='html'>&lt;iframe allowfullscreen=&quot;&quot; frameborder=&quot;0&quot; height=&quot;315&quot; src=&quot;http://www.youtube.com/embed/oXILbtFb4AE&quot; width=&quot;560&quot;&gt;&lt;/iframe&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/7400816828024052595/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/utilizando-una-medidora-de-redondez.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/7400816828024052595'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/7400816828024052595'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/utilizando-una-medidora-de-redondez.html' title='Utilizando una medidora de redondez'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://img.youtube.com/vi/oXILbtFb4AE/default.jpg" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-5598759634848069042</id><published>2011-09-30T08:31:00.000-07:00</published><updated>2011-09-30T08:31:30.647-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>La importancia de la metrología</title><content type='html'>&lt;div align=&quot;justify&quot; style=&quot;font-family: Arial,Helvetica,sans-serif;&quot;&gt;
&lt;i&gt;&lt;span class=&quot;bajada&quot; style=&quot;font-size: x-small;&quot;&gt;&quot;…La confianza en las medidas 
es un pre-requisito esencial para el comercio internacional y facilita 
casi todas las tareas que se realizan en el mundo industrializado. Gran 
parte de esta confianza se ha alcanzado y está basada en el uso del 
Sistema Internacional de Unidades, el cual es la piedra angular del este
 sistema internacional de medida, materializado por los Institutos 
Nacionales de Metrología… &quot; &lt;/span&gt;&lt;/i&gt;&lt;span class=&quot;bajada&quot; style=&quot;font-size: x-small;&quot;&gt;

Capítulo 7 del Acuerdo de Reconocimiento Mutuo del Comité Internacional 
de Pesos y Medidas, 1999.&lt;/span&gt;&lt;/div&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.metrologia.cl/medios/micrometros2.gif&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://www.metrologia.cl/medios/micrometros2.gif&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;span class=&quot;bajada&quot;&gt;&amp;nbsp;&lt;/span&gt;&lt;/div&gt;
&lt;span class=&quot;contenido&quot;&gt;&lt;div align=&quot;justify&quot;&gt;
&lt;span class=&quot;contenido&quot;&gt;&lt;span style=&quot;font-family: Arial;&quot;&gt;&lt;span style=&quot;color: navy;&quot;&gt;&lt;span style=&quot;font-size: x-small;&quot;&gt;Sin
 duda el párrafo anterior resume adecuadamente la importancia y uso de 
la Metrología, herramienta tecnológica que juega un rol clave en el 
aseguramiento de la calidad de los productos y en la eliminación de 
barreras técnicas al comercio, las que paulatinamente se han ido 
convirtiendo en las más relevantes o por lo menos más visibles a medida 
que, mediante acuerdos y tratados, las barreras arancelarias se van de 
manera efectiva en retirada y al mismo tiempo se establecen 
requerimientos para alcanzar regulaciones técnicas transparentes, 
justificadas y no discriminatorias, como es en el caso de nuestro país 
con la UE (Parte V, capítulo 2 del Acuerdo) y USA (Capítulo 7 de TLC), y
 así sustentar la confianza, requisito fundamental de toda actividad 
comercial.&lt;br /&gt;&lt;br /&gt;¿Cómo contribuye la Metrología a lo anterior? La 
respuesta es sencilla, pero aparentemente no es obvia dado que son muy 
pocas las personas capaces de entregar una respuesta inmediata; quizás 
es también evidencia:&lt;br /&gt;&lt;br /&gt;1) el que las autoridades a cargo de las 
regulaciones comerciales de muchos países, no han sido capaces de 
respaldar y fortalecer adecuadamente a sus Institutos Metrológicos 
Nacionales, ni por lo menos emitir normas o regulaciones coherentes con 
el Sistema Internacional de Unidades, normas internacionales, el Tratado
 de Barreras Técnicas al Comercio de la OMC y las reales capacidades de 
los instrumentos de medida. &lt;br /&gt;&lt;br /&gt;2) el que es posible encontrar al 
interior de muchas empresas contradicciones entre la implementación de 
normas y aspectos metrológicos relevantes del instrumental y los 
fundamentos de las mediciones.&amp;nbsp;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div align=&quot;justify&quot;&gt;
&lt;span class=&quot;contenido&quot;&gt;&lt;span style=&quot;font-family: Arial;&quot;&gt;&lt;span style=&quot;color: navy;&quot;&gt;&lt;span style=&quot;font-size: x-small;&quot;&gt;Para mas información ver: &lt;a href=&quot;http://www.metrologia.cl/noticias/articulos/metrologiaparaque.act&quot;&gt;Metrología ¿Para qué?&lt;/a&gt; &lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;
&lt;/span&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/5598759634848069042/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/la-importancia-de-la-metrologia.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/5598759634848069042'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/5598759634848069042'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/la-importancia-de-la-metrologia.html' title='La importancia de la metrología'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-823555059991929726</id><published>2011-09-29T11:57:00.001-07:00</published><updated>2011-09-29T11:57:21.786-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Como operar con una medidora de una coordenada vertical</title><content type='html'>&lt;div style=&quot;text-align: center;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;iframe allowfullscreen=&quot;&quot; frameborder=&quot;0&quot; height=&quot;315&quot; src=&quot;http://www.youtube.com/embed/1TK0vIvfqYI&quot; width=&quot;420&quot;&gt;&lt;/iframe&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/823555059991929726/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/como-operar-con-una-medidora-de-una.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/823555059991929726'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/823555059991929726'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/como-operar-con-una-medidora-de-una.html' title='Como operar con una medidora de una coordenada vertical'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://img.youtube.com/vi/1TK0vIvfqYI/default.jpg" height="72" width="72"/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-7888743115904483692</id><published>2011-09-29T11:50:00.000-07:00</published><updated>2011-09-29T11:50:48.293-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><category scheme="http://www.blogger.com/atom/ns#" term="Otros"/><title type='text'>Limitaciones de los útiles de control</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.interempresas.net/FotosArtProductos/P49412.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;320&quot; src=&quot;http://www.interempresas.net/FotosArtProductos/P49412.jpg&quot; width=&quot;180&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Como es bien sabido, debido a la 
naturaleza de los productos críticos, tanto del sector automoción como 
aeronáutico, la necesidad de garantizar una total ausencia de defectos 
es de suma importancia. Por otro lado, la imperiosa necesidad de limitar
 los costes productivos para mantener un cierto nivel de competitividad,
 hace que frecuentemente se genere un conflicto entre ambos objetivos. 
En una fase intermedia entre la exigencia del control de calidad y la 
eficiencia económica, los &lt;a href=&quot;http://www.tecnomatrix.com/&quot;&gt;útiles de control &lt;/a&gt;han encontrado un espacio donde maximizar su utilidad.&amp;nbsp;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Aún así existen ciertas&lt;strong&gt; limitaciones &lt;/strong&gt;que hacen que esta herramienta no sea la única solución. La propia complejidad de las piezas a controlar afectan directamente &lt;a href=&quot;http://www.measurecontrol.com/manual-enemigos-del-calibre/&quot;&gt;la complejidad del útil de control&lt;/a&gt;,
 haciendo que la implicación de las partes involucradas en su desarrollo
 sea elevada para garantizar su funcionalidad, su integridad durante el 
uso y la integridad de las partes controladas, así como también, 
evidentemente, la precisión de los controles, para rechazar 
efectivamente las piezas defectuosas y probar la conformidad de las 
piezas que cumplen los requisitos de calidad.&amp;nbsp;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
&lt;br /&gt;&lt;/div&gt;
&lt;div style=&quot;text-align: justify;&quot;&gt;
Para mas información ver:&lt;a href=&quot;http://www.measurecontrol.com/limitaciones-de-los-utiles-de-control/&quot;&gt; Limitaciones de los útiles de control &lt;/a&gt;&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/7888743115904483692/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/limitaciones-de-los-utiles-de-control.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/7888743115904483692'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/7888743115904483692'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/limitaciones-de-los-utiles-de-control.html' title='Limitaciones de los útiles de control'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-5982145643914161099</id><published>2011-09-28T10:35:00.000-07:00</published><updated>2011-09-28T10:35:15.566-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Otros"/><title type='text'>Cómo medir la temperatura. Tipos de termómetros</title><content type='html'>El control de procesos es uno de 
              los factores más importantes en una producción con 
              un alto estándar cualitativo, de la misma manera que la precisión 
              en clave es clave en la investigación. La temperatura es 
              hoy en día una de las variables más importantes en 
              ambos sectores.&lt;br /&gt;
&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://www.pce-iberica.es/instrumentos-de-medida/images/termometros-infrarrojos.jpg&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; src=&quot;http://www.pce-iberica.es/instrumentos-de-medida/images/termometros-infrarrojos.jpg&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
Hasta hace pocas década, los termómetros tanto en 
              la industria como en los laboratorios eran generalmente de dos tipos: 
              de vidrio o bimetálicos.&lt;br /&gt;
Los termómetros de vidrio y bimetálicos usan la expansión 
              térmica para medir la temperatura. Este método se 
              basa en la medida directa de una transformación física 
              y puede suministrar un falso sentido de fiabilidad, ya que es posible 
              &quot;ver&quot; como funciona.&lt;br /&gt;
Este sistema ya no es el adecuado por muchas razones. Su precisión 
              y su rango son muy limitados. Los termómetros de vidrio son 
              frágiles y peligrosos tanto para la salud como para el ambiente. 
              Por estas razones, se ha hecho necesario un método alternativo 
              para medir la temperatura, como son los termómetros electrónicos.&lt;br /&gt;
Los termómetros electrónicos ofrecen una precisión 
              elevada, seguridad y versatilidad en el control de la temperatura 
              de los procesos industriales, alimentarios y en los análisis 
              de laboratorio.&lt;br /&gt;
Su velocidad de respuesta es importante cuando las reacciones que 
              se monitorizan, cambian rápidamente. Además, usan 
              sensores de pequeñas dimensiones, que permiten realizar la 
              medida en áreas reducidas, como por ejemplo en la electrónica. 
              ofrecen posibilidad de memorizar las medidas, no temen la tensión 
              mecánica o las condiciones ambientales adversas que se pueden 
              encontrar en las medidas de campo.&lt;br /&gt;
&lt;br /&gt;
Para mas información ver: &lt;a href=&quot;http://www.infoagro.com/instrumentos_medida/doc_termometro.asp?k=62&quot;&gt;&lt;span class=&quot;txtTitSecc2&quot;&gt;Cómo medir la temperatura. Tipos de termómetros&lt;/span&gt;&lt;/a&gt; </content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/5982145643914161099/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/como-medir-la-temperatura-tipos-de.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/5982145643914161099'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/5982145643914161099'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/como-medir-la-temperatura-tipos-de.html' title='Cómo medir la temperatura. Tipos de termómetros'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-7417951345169301621</id><published>2011-09-28T09:05:00.000-07:00</published><updated>2011-09-28T09:06:11.403-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Otros"/><title type='text'>Mantenimiento y la metrología en los sistemas industriales</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;a href=&quot;http://blog.seas.es/sites/default/files/1.JPG&quot; imageanchor=&quot;1&quot; style=&quot;margin-left: 1em; margin-right: 1em;&quot;&gt;&lt;img border=&quot;0&quot; height=&quot;264&quot; src=&quot;http://blog.seas.es/sites/default/files/1.JPG&quot; width=&quot;320&quot; /&gt;&lt;/a&gt;&lt;/div&gt;
&lt;br /&gt;
La adopción de métodos preventivos de planificación y mejora con­tinua 
responde al objetivo de desear crear productos y procesos robustos, 
ahorrando inspecciones durante y después de la fabricación al obtener 
pro­ductos de calidad a la primera. Para ello se usan, de modo 
integrado, diversas técnicas complementarias. Unas son de tipo 
organizativo; otras afectan a los equipos productivos o a los productos.&lt;br /&gt;
&lt;br /&gt;
Para mas información ver: &lt;br /&gt;
&lt;h2&gt;

&lt;a href=&quot;http://blog.seas.es/content/el-mantenimiento-y-la-metrologia-en-los-sistemas-industriales-como-elementos-clave-de-la-cal&quot;&gt;&lt;span style=&quot;font-size: small;&quot;&gt;El mantenimiento y la metrología en los sistemas industriales, como elementos clave de la calidad de fabricación&lt;/span&gt;&lt;/a&gt;&lt;/h2&gt;
</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/7417951345169301621/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/mantenimiento-y-la-metrologia-en-los.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/7417951345169301621'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/7417951345169301621'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/mantenimiento-y-la-metrologia-en-los.html' title='Mantenimiento y la metrología en los sistemas industriales'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-4850998598183184926</id><published>2011-09-28T09:01:00.000-07:00</published><updated>2011-09-28T09:01:23.730-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Importancia del aseguramiento metrológico</title><content type='html'>&lt;div id=&quot;__ss_3586877&quot; style=&quot;width: 425px;&quot;&gt;
&lt;b style=&quot;display: block; margin: 12px 0 4px;&quot;&gt;&lt;a href=&quot;http://www.slideshare.net/javiercastrillon/aseguramiento-metrolgico-3586877&quot; target=&quot;_blank&quot; title=&quot;Aseguramiento MetrolóGico&quot;&gt;Aseguramiento Metrológico&lt;/a&gt;&lt;/b&gt; &lt;iframe frameborder=&quot;0&quot; height=&quot;355&quot; marginheight=&quot;0&quot; marginwidth=&quot;0&quot; scrolling=&quot;no&quot; src=&quot;http://www.slideshare.net/slideshow/embed_code/3586877&quot; width=&quot;425&quot;&gt;&lt;/iframe&gt; &lt;br /&gt;
&lt;div style=&quot;padding: 5px 0 12px;&quot;&gt;
View more &lt;a href=&quot;http://www.slideshare.net/&quot; target=&quot;_blank&quot;&gt;presentations&lt;/a&gt; from &lt;a href=&quot;http://www.slideshare.net/javiercastrillon&quot; target=&quot;_blank&quot;&gt;javiercastrillon&lt;/a&gt; &lt;/div&gt;
&lt;/div&gt;
</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/4850998598183184926/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/importancia-del-aseguramiento.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4850998598183184926'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/4850998598183184926'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/importancia-del-aseguramiento.html' title='Importancia del aseguramiento metrológico'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-8395736066739652983</id><published>2011-09-18T09:32:00.000-07:00</published><updated>2011-09-18T09:33:13.776-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Trazabilidad metrológica en los sistemas de calidad.</title><content type='html'>La ISO 9001:2000 en el requerimiento 7.6 &quot;Control de equipos de monitoreo y medición&quot; nos dice que dichos instrumentos deberán &quot;ser calibrados o verificados a intervalos especificados o antes de su uso, contra equipos trazables a patrones de medición nacionales o internacionales...&quot;.&lt;br /&gt;
&lt;img alt=&quot;&quot; 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&quot; /&gt; &lt;br /&gt;
&lt;br /&gt;
En el siguiente enlace se realiza una integración de la diferentes definiciones relacionadas con los tipos de patrones de medición de acuerdo con el Vocabulario Internacional de Metrología (VIM), definiciones necesarias para un claro entendimiento del concepto de trazabilidad, así como los elementos que debe contener una carta de trazabilidad.&lt;br /&gt;
&lt;br /&gt;
Para mas información ver: &lt;a href=&quot;http://www.metas.com.mx/guiametas/La-Guia-MetAs-03-04-Traz.pdf&quot;&gt;Guia de metrología &lt;/a&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/8395736066739652983/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/trazabilidad-metrologica-en-los.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/8395736066739652983'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/8395736066739652983'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/trazabilidad-metrologica-en-los.html' title='Trazabilidad metrológica en los sistemas de calidad.'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-3119572996626230281</id><published>2011-09-08T02:03:00.000-07:00</published><updated>2011-09-08T02:04:44.368-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Otros"/><title type='text'>Instrumentos para mediciones eléctricas</title><content type='html'>&lt;div class=&quot;separator&quot; style=&quot;clear: both; text-align: center;&quot;&gt;
&lt;iframe allowfullscreen=&#39;allowfullscreen&#39; webkitallowfullscreen=&#39;webkitallowfullscreen&#39; mozallowfullscreen=&#39;mozallowfullscreen&#39; width=&#39;320&#39; height=&#39;266&#39; src=&#39;https://www.youtube.com/embed/kxYuygrtHMQ?feature=player_embedded&#39; frameborder=&#39;0&#39;&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;br /&gt;</content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/3119572996626230281/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/instrumentos-para-mediciones-electricas.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3119572996626230281'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/3119572996626230281'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/instrumentos-para-mediciones-electricas.html' title='Instrumentos para mediciones eléctricas'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-2218279080571575748.post-9203078729075663396</id><published>2011-09-08T01:48:00.000-07:00</published><updated>2011-09-08T02:04:28.378-07:00</updated><category scheme="http://www.blogger.com/atom/ns#" term="Metrologia"/><title type='text'>Introducción a la medición neumática</title><content type='html'>&lt;img alt=&quot;&quot; height=&quot;144&quot; 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&quot; width=&quot;320&quot; /&gt; &lt;br /&gt;
Para  medir se pueden usar diferentes medios, puede ser una medición 
táctil mediante una bola de rubí o una punta de diamante,  o bien óptica
 mediante un láser o mediante ópticas telecéntricas; también existe la 
posibilidad de medir con aire: ésta es &lt;b&gt;la medición neumática&lt;/b&gt;.
 En esta tecnología se usa como medio un chorro de aire a velocidad 
supersónica y correlacionando la caída de presión con la distancia se 
consiguen resoluciones por debajo de la micra.&lt;br /&gt;
&lt;br /&gt;
Para mas información ver: &lt;a href=&quot;http://www.measurecontrol.com/introduccion-a-la-medicion-neumatica/&quot;&gt;Medición neumática&lt;/a&gt;&amp;nbsp; </content><link rel='replies' type='application/atom+xml' href='http://procalmetsl.blogspot.com/feeds/9203078729075663396/comments/default' title='Enviar comentarios'/><link rel='replies' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/introduccion-la-medicion-neumatica.html#comment-form' title='0 comentarios'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/9203078729075663396'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/2218279080571575748/posts/default/9203078729075663396'/><link rel='alternate' type='text/html' href='http://procalmetsl.blogspot.com/2011/09/introduccion-la-medicion-neumatica.html' title='Introducción a la medición neumática'/><author><name>Oscar Martínez</name><uri>http://www.blogger.com/profile/18041629304696669818</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='https://img1.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry></feed>