Study on Process Parameters Optimization of Sheet Metal Forming Based on PFEA/ANN/GA  

作　　者：Juhua HUANG Jinjun RAO Xuefeng LI 

机构地区：[1]Department of Materials Engineering, Nanchang University, Nanchang 330029, China Department of Materials Engineering, Nanchang University, Nanchang 330029, China Department of Materials Engineering, Nanchang University, Nanchang 330029, China

出　　处：《Journal of Materials Science & Technology》2003年第z1期9-12,共4页材料科学技术（英文版）

基　　金：This work was supported by the Natural Science Foundation of the Jiangxi Province of China under grant No.12 and the Committee of Science and Technology of Jiangxi Province, China.

摘　　要：Sheet metal forming is widely applied to automobile, aviation, space flight, ship, instrument, and appliance industries.In this paper, based on analyzing the shortcoming of general finite element analysis (FEA), the conception of parametric finite element analysis (PFEA) is presented. The parametric finite element analysis, artificial neural networks(ANN) and genetic algorithm (GA) are combined to research thoroughly on the problems of process parametersoptimization of sheet metal forming. The author programs the optimization scheme and applies it in a research ofoptimization problem of inside square hole flanging technological parameters. The optimization result coincides wellwith the result of experiment. The research shows that the optimization scheme offers a good new way in die designand sheet metal forming field.

关 键 词：Sheet metal forming  Optimization  PARAMETRIC finite element analysis  Artificial neuralnetwork  GENETIC algorithm 

分 类 号：TM3[电气工程—电机]