Application and Design of Artificial Neural Network for Multi-cavity Injection Molding Process Conditions

被引：0

作者：

Chen, Wen-Jong ^{[1
]}

Lin, Jia-Ru ^{[1
]}

机构：

[1] Changhua Univ Educ, Dept Ind Educ & Technol, Changhua, Taiwan

来源：

ADVANCES IN FUTURE COMPUTER AND CONTROL SYSTEMS, VOL 2 | 2012年 / 160卷

关键词：

Artificial Neural Network; Multi-cavity; Genetic Algorithm; Warpage; GENETIC ALGORITHM; WARPAGE OPTIMIZATION; MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this study, an artificial neural network (ANN) with a predictive model for the warpage of multi-cavity plastic injection molding parts. The developed method in this paper indicate that the minimum and the maximum warpage were lower than that of CAE simulation. These simulation results reveal that the optimal process conditions are significantly better than those using the genetic algorithm method or CAE simulation.

引用

页码：33 / 38

页数：6

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