The Application of Radial Basis Function Neural network in Springback Prediction of Sheet Flanging

被引：0
|
作者：
Han, Lifen [1 ]
Liao, Zilong [1 ]
机构：
[1] Dongguan Univ Technol, Coll Mech Engn, Dongguan, Peoples R China
来源：
MECHANICAL COMPONENTS AND CONTROL ENGINEERING III | 2014年 / 668-669卷
关键词：
flanging; springback; radial basis function neural network; dynamic structure design;
D O I：
10.4028/www.scientific.net/AMM.668-669.571
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Based on the convex (concave) arc sheet flanging experiment data, the springback prediction research in the sheet flanging was carried out, using radial basis function (RBF) neural network (NN) and the dynamic structure design method. By comparing with the experiment results, the validity of this method was verified.
引用
收藏
页码：571 / 574
页数：4
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