文章基本信息

标题：Application of Neural Network in Sheet Metal Bending Process
本地全文：下载
作者：K.K. Pathak ; Sanjay Panthi ; N. Ramakrishnan 等
期刊名称：Defence Science Journal
印刷版ISSN：0976-464X
出版年度：2005
卷号：55
期号：2
页码：125-131
DOI：10.14429/dsj.55.1976
语种：English
出版社：Defence Scientific Information & Documentation Centre
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 on44 cases analysedusing 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 ofthe results were quite close to the simulation results. Such a technique of response prediction helps in reducing the, computational time.
关键词：Bending, springback, finite element, residual stress, plastic strain, neural network, sheet metal forming