Sistema neuro-difuso para el control de atributos de calidad en inyeccion de plasticos

Autores/as

Palabras clave:

Lógica Difusa, Redes Neuronales Artificiales, Inyección de Plásticos, Control Moderno

Resumen

El presente trabajo presenta un hibrido de redes neuronales artificiales y lógica difusa aplicado para la optimización y control del proceso de inyección de plásticos. El objetivo de este estudio es mantener bajo control atributos de calidad de componentes plásticos mediante la manipulación de ciertos parámetros. El software de análisis de elemento finito “Moldflow” es empleado para simular el proceso de inyección. Como resultado se obtiene un sistema de lazo cerrado capaz de mantener bajo control en todo instante los atributos. Los resultados muestran una mejora significante después de cada iteración del sistema hasta lograr los resultados deseados.

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Biografía del autor/a

Alejandro Alvarado Iniesta, Universidad Autónoma de Ciudad Juárez

Departamento de Ingeniería Industrial y Manufactura

Roberto Romero López, Universidad Autónoma de Ciudad Juárez

Departamento de Ingeniería Industrial y Manufactura

Rey David Molina Arredondo, Universidad Autónoma de Ciudad Juárez

Departamento de Ingeniería Industrial y Manufactura

Salvador López Jiménez Rascón, Universidad Autónoma de Ciudad Juárez

Departamento de Ingeniería Industrial y Manufactura

Citas

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Publicado

2016-03-01

Cómo citar

Alvarado Iniesta, A., Romero López, R., Molina Arredondo, R. D., & López Jiménez Rascón, S. (2016). Sistema neuro-difuso para el control de atributos de calidad en inyeccion de plasticos. Cultura Científica Y Tecnológica, (50). Recuperado a partir de http://erevistas.uacj.mx/ojs/index.php/culcyt/article/view/931