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

被引:12
作者
Wei, Zhe [1 ]
Feng, Yi-xiong [1 ]
Tan, Jian-rong [1 ]
Wang, Jin-long [2 ]
Li, Zhong-kai [1 ]
机构
[1] Zhejiang Univ, Coll Mech & Energy Engn, Hangzhou 310027, Peoples R China
[2] Qingdao Technol Univ, Sch Comp Engn, Qingdao 266033, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-objective optimization design; Genetic algorithm; Unitary performance design; Non-dominated sorting genetic algorithm; Injection molding machine; GENETIC ALGORITHM; OPTIMIZATION;
D O I
10.1007/s00170-008-1467-8
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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
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页码:242 / 249
页数:8
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