Gate Location Optimization of Plastic Injection Molding Based on Genetic Algorithm with Discrete Variables

摘要：

This paper presents a gate location optimization method for plastic injection molding, in which an information entropy-based multi-population genetic algorithm with discrete variables in conjunction with a flow numerical simulation program to search the optimum location of the gate. Numerical examples show that this method has high accuracy and effectiveness, and is suitable for the gate location optimization.

关键词： Gate location design,Optimization,Information entropy Gene algorithm

作者: An Ran Yu Deqi Wang Xicheng

作者单位: State Key Laboratory of Structural Analysis for Industry Equipment;Determent of Mechanics Engineering, Dalian University of Technology, Dalian 116024, China

会议类型: 国际会议

会议名称: 第一届高聚物成型加工与材料物性预测国际学术研讨会

会议地点: 郑州

会议语种:英文

页码: 118-123

在线出版日期: 2006-10-18（万方平台首次上网日期，不代表论文的发表时间）