Application of neural network in sheet metal bending process

被引:11
|
作者
Pathak, KK [1 ]
Panthi, S [1 ]
Ramakrishnan, N [1 ]
机构
[1] Reg Res Lab, Bhopal 462026, India
关键词
bending; springback; finite element; residual stress; plastic strain; neural network; sheet metal forming;
D O I
10.14429/dsj.55.1976
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The sheet metal bending is an important form of sheet metal forming process, widely used in various industrial applications like aircraft automobiles, household items, power industries, etc. This study predicts the responses of the sheet metal bending process using artificial neural network. Based on 44 cases analysed using finite element method, a neural network was trained. Sheet thickness and die radius were the input, and stresses, strains, springback, loads, etc were the output for the neural network. The trained neural network was tested for five new patterns. It was found that most of the results were quite close to the simulation results. Such a technique of response prediction helps in reducing the computational time.
引用
收藏
页码:125 / 131
页数:7
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