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

查看全文 作　　者：Juhua HUANG Jinjun RAO Xuefeng [1]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》索引2003年第19卷第z1期,共4页 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