Framework for Optimization of Injection Molding

摘要：

In this paper, we develop a framework for optimization of injection molding. The framework includes both methods for solving optimization problems, i. e. optimization methods based on multi-population genetic evolution with narrowing down space and Kriging approximation model. Numerical examples show that the methods have good accuracy and efficiency. These proposed methods are also suitable for parallel computer systems and grid computing.

关键词： Optimization Injection molding Approximation model Genetic algorithm Grid computing

作者: Wang Xicheng Gao Yuehua Cui Zhendong Yu Deqi

作者单位: State Key laboratory of structural Analysis for Industrial Equipment,Dalian University of Technology, Dalian 116024, Liaoning, 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: 74-79

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）