Multi-objective performance optimal design of large-scale injection molding machine

被引:2
|
作者
Zhe Wei
Yi-xiong Feng
Jian-rong Tan
Jin-long Wang
Zhong-kai Li
机构
[1] Zhejiang University,College of Mechanical and Energy Engineering
[2] Qingdao Technological University,School of Computer Engineering
关键词
Multi-objective optimization design; Genetic algorithm; Unitary performance design; Non-dominated sorting genetic algorithm; Injection molding machine;
D O I
暂无
中图分类号
学科分类号
摘要
In order to solve the complex multi-objective optimal performance design of large-scale injection molding machines, NSGA-II is used to find a much better spread of design solutions and better convergence near the true Pareto-optimal front. The combination of the design method and the injection molding machine is discussed. Screw diameter performance, stick inside distance performance, mold moving route performance and mold-locked force performance are chosen as the four main performance evaluation indexes. Some related parameters are associated to get a performance indication. And performance optimization design parameter constraints are listed to make the design solutions to have practical significance. The mathematical models of two objectives and the mathematical models of three objectives are analyzed. Finally, the instance of HTF180X1N large-scale injection molding machine is taken as an example to demonstrated that such method is effective and practical.
引用
收藏
页码:242 / 249
页数:7
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