Optimization of injection molding process parameters by a hybrid of artificial neural network and artificial bee colony algorithm

Optimization of injection molding process parameters by a hybrid of artificial neural network and artificial bee colony algorithm

Show other versions (1)

This paper presents a hybrid of artificial neural networks and artificial bee colony algorithm to optimize the process parameters in injection molding with the aim of minimize warpage of plastic products. A feedforward neural network is employed to obtain a mathematical relationship between the pro...

Full description

Bibliographic Details
Main Authors: Alejandro Alvarado Iniesta, Jorge L. García Alcaraz, Manuel Iván Rodríguez Borbón
Format: Article
Language:English
Published: Universidad de Antioquia 2013-08-01
Series:Revista Facultad de Ingeniería Universidad de Antioquia
Subjects:
artificial bee colony algorithm
artificial neural networks
injection molding
optimization of process parameters
finite element simulation
Online Access:https://revistas.udea.edu.co/index.php/ingenieria/article/view/16309

Internet

https://revistas.udea.edu.co/index.php/ingenieria/article/view/16309

Similar Items