{"id":7632,"date":"2023-04-06T02:55:19","date_gmt":"2023-04-06T02:55:19","guid":{"rendered":"https:\/\/fill-package.com\/?p=7632"},"modified":"2023-04-12T02:56:17","modified_gmt":"2023-04-12T02:56:17","slug":"principio-de-combinacion-de-escala-de-combinacion","status":"publish","type":"post","link":"https:\/\/fill-package.com\/es\/combination-principle-of-combination-scale\/","title":{"rendered":"Principio de combinaci\u00f3n de la escala de combinaci\u00f3n"},"content":{"rendered":"<p>La b\u00e1scula multicabezal, tambi\u00e9n llamada b\u00e1scula combinada, es una de las m\u00e1quinas m\u00e1s importantes en los sistemas de envasado automatizado. Calcula bas\u00e1ndose en el principio de combinaci\u00f3n y selecciona la combinaci\u00f3n m\u00e1s cercana al peso objetivo entre varias al descargar los materiales.<\/p>\n<p>&nbsp;<\/p>\n<h5><span style=\"color: #000080;\"><strong>Elija la combinaci\u00f3n m\u00e1s cercana al peso objetivo entre muchas combinaciones<\/strong><\/span><\/h5>\n<p>Generalmente, una b\u00e1scula multicabezal tiene m\u00e1s de 10 cabezales, cada uno de los cuales es una unidad de pesaje individual con celda de carga. Puede pesar de forma independiente el material almacenado en su tolva. Cuando la b\u00e1scula multicabezal termina de pesar y vac\u00eda la tolva, se abre la tolva de alimentaci\u00f3n para descargar los materiales y pesarlos. A continuaci\u00f3n, se env\u00eda una se\u00f1al a la placa base. La CPU de la placa base lee y registra el peso de cada tolva de pesaje, calculando, analizando y seleccionando la combinaci\u00f3n de tolvas de pesaje m\u00e1s cercana al peso objetivo. Por ejemplo:<\/p>\n<p>El peso objetivo de una b\u00e1scula combinada de 10 cabezales es de 100 g, con un l\u00edmite superior de 1 g y un l\u00edmite inferior de 0 g. La siguiente imagen muestra una situaci\u00f3n de combinaci\u00f3n espec\u00edfica.<\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-7633 lazyload\" data-src=\"https:\/\/fill-package.com\/wp-content\/uploads\/2023\/04\/combination-Principle.png\" alt=\"Principio de combinaci\u00f3n\" width=\"529\" height=\"602\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 529px; --smush-placeholder-aspect-ratio: 529\/602;\" \/><\/p>\n<p>No es dif\u00edcil observar que cuanto mayor sea el n\u00famero de cabezales de la b\u00e1scula combinada, mayor ser\u00e1 el n\u00famero de combinaciones. Al mismo tiempo, cuando el n\u00famero de tolvas combinadas seleccionadas es la mitad del n\u00famero de b\u00e1sculas, mayor es el n\u00famero de tolvas participantes y la precisi\u00f3n es \u00f3ptima. La siguiente tabla muestra una comparaci\u00f3n de referencia del n\u00famero de combinaciones posibles de b\u00e1sculas combinadas de 10 y 14 cabezales cuando se seleccionan diferentes n\u00fameros de tolvas.<\/p>\n<table>\n<tbody>\n<tr>\n<td width=\"226\">N\u00famero de tolvas seleccionadas<\/td>\n<td width=\"260\">Pesadora multicabezal de 10 cabezales<\/td>\n<td width=\"273\">Pesadora multicabezal de 14 cabezales<\/td>\n<\/tr>\n<tr>\n<td width=\"226\">1<\/td>\n<td width=\"260\">10<\/td>\n<td width=\"273\">14<\/td>\n<\/tr>\n<tr>\n<td width=\"226\">2<\/td>\n<td width=\"260\">45<\/td>\n<td width=\"273\">91<\/td>\n<\/tr>\n<tr>\n<td width=\"226\">3<\/td>\n<td width=\"260\">120<\/td>\n<td width=\"273\">364<\/td>\n<\/tr>\n<tr>\n<td width=\"226\">4<\/td>\n<td width=\"260\">210<\/td>\n<td width=\"273\">1001<\/td>\n<\/tr>\n<tr>\n<td width=\"226\">5<\/td>\n<td width=\"260\">252<\/td>\n<td width=\"273\">2002<\/td>\n<\/tr>\n<tr>\n<td width=\"226\">6<\/td>\n<td width=\"260\">210<\/td>\n<td width=\"273\">3003<\/td>\n<\/tr>\n<tr>\n<td width=\"226\">7<\/td>\n<td width=\"260\">120<\/td>\n<td width=\"273\">3432<\/td>\n<\/tr>\n<tr>\n<td width=\"226\">8<\/td>\n<td width=\"260\">45<\/td>\n<td width=\"273\">3003<\/td>\n<\/tr>\n<tr>\n<td width=\"226\">9<\/td>\n<td width=\"260\">10<\/td>\n<td width=\"273\">2002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<h5><span style=\"color: #000080;\">Optimizando continuamente dentro de una combinaci\u00f3n, acerc\u00e1ndose gradualmente al peso objetivo.<\/span><\/h5>\n<p>En general, las b\u00e1sculas combinadas deben combinarse varias veces para reducir gradualmente la tolerancia y alcanzar la precisi\u00f3n requerida. Las b\u00e1sculas combinadas suelen utilizar un ajuste de retroalimentaci\u00f3n para ajustar continuamente el peso de cada cabezal, acerc\u00e1ndose gradualmente al peso objetivo. Durante el proceso de combinaci\u00f3n, la unidad de combinaci\u00f3n calcula el error actual y emite una se\u00f1al de ajuste. Estas se\u00f1ales se transmiten a la unidad del cabezal de la b\u00e1scula para ajustar el peso de cada cabezal. Mediante el ajuste iterativo, la b\u00e1scula combinada multicabezal puede acercarse gradualmente al peso objetivo hasta que el error se mantenga dentro de un rango aceptable.<\/p>\n<h6><\/h6>\n<p>&nbsp;<\/p>\n<h5><span style=\"color: #000080;\">Factores que afectan la combinaci\u00f3n<\/span><\/h5>\n<p>El tiempo y el n\u00famero de ajustes de una b\u00e1scula combinada multicabezal pueden verse afectados por diversos factores, como las caracter\u00edsticas del material, el caudal, la precisi\u00f3n del objetivo y el dise\u00f1o de la b\u00e1scula combinada. En la pr\u00e1ctica, es necesario dise\u00f1ar y ajustar seg\u00fan las situaciones espec\u00edficas.<\/p>","protected":false},"excerpt":{"rendered":"<p>The Multi-head weigher, also call combination scale. is one of the most importance machine in automated packaging systems. It calculates based on the combination principle, and selects the combination that is closest to the target weight from many combinations when every time the materials are discharged. &nbsp; Choose the combination closest to the target weight [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7632","post","type-post","status-publish","format-standard","hentry","category-blog"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Combination Principle Of Combination Scale - Fill&amp;Package<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fill-package.com\/es\/principio-de-combinacion-de-escala-de-combinacion\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Combination Principle Of Combination Scale - Fill&amp;Package\" \/>\n<meta property=\"og:description\" content=\"The Multi-head weigher, also call combination scale. is one of the most importance machine in automated packaging systems. 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