收稿日期: 2003-06-27
修回日期: 2003-10-15
网络出版日期: 2004-07-10
基金资助
辽宁省自然科学基金项目(972020)资助
Optimal Selection of Multiple Parameters in Filling Processof Pressure Die Casting
Received date: 2003-06-27
Revised date: 2003-10-15
Online published: 2004-07-10
贵刚 , 于军 , 苏丽杰 , 聂义勇 . 压力铸造充型过程多工艺参数的优化选择[J]. 中国科学院大学学报, 2004 , 21(4) : 532 -537 . DOI: 10.7523/j.issn.2095-6134.2004.4.016
A technological parameter optimal model with multi-object and multi-parameter is given. Some numericalsimulation results are firstly obtained by ProCAST when the technological parameters are specified. Then thesesimulation data are provided for the multi-layer feed-forward network training. As a result,the function,between theinput and output parameters,can be constructed by neural networks. Finally,the optimal problem may be solved byGenetic Algorithm. The most proper cast parameters are obtained.
Key words： die cast; neural network; genetic algorithm; interpolation
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