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

Authors

Keywords:

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

Abstract

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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Author Biographies

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

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Published

2016-03-01

How to Cite

[1]
A. Alvarado Iniesta, R. Romero López, R. D. Molina Arredondo, and S. López Jiménez Rascón, “Sistema neuro-difuso para el control de atributos de calidad en inyeccion de plasticos”, Cult. Científ. y Tecnol., no. 50, Mar. 2016.