Design of optimization parameters with hybrid genetic algorithm method in multi-cavity injection molding process

Wen Jong Chen, Jia Ru Lin

研究成果: Conference contribution

2 引文 斯高帕斯(Scopus)

摘要

This paper combines an artificial neural network (ANN) with a traditional genetic algorithm (GA) method, called hybrid genetic algorithm (HGA), to analyze the warpage of multi-cavity plastic injection molding parts. Simulation results indicate that the minimum and the maximum warpage of the hybrid genetic algorithm (HGA) method were lower than that of the traditional GA method and CAE simulation. These results reveal that, when HGA is applied to multi-cavity plastic warpage analysis, the optimal process conditions are significantly better than those using the traditional GA method or CAE simulation.

原文English
主出版物標題Advanced Materials Research II
頁面587-591
頁數5
DOIs
出版狀態Published - 2012
事件2012 2nd International Conference on Advanced Material Research, ICAMR 2012 - Chengdu, China
持續時間: 2012 一月 72012 一月 8

出版系列

名字Advanced Materials Research
463-464
ISSN(列印)1022-6680

Other

Other2012 2nd International Conference on Advanced Material Research, ICAMR 2012
國家China
城市Chengdu
期間12-01-0712-01-08

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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