Artificial intelligence application in the bending process

被引：0

作者：

Groze, Florica Mioara

Achimas, Gheorghe

Lazarescu, Lucian

Ceclan, Vasile

机构：

来源：

ANNALS OF DAAAM FOR 2007 & PROCEEDINGS OF THE 18TH INTERNATIONAL DAAAM SYMPOSIUM: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON CREATIVITY, RESPONSIBILITY, AND ETHICS OF ENGINEERS | 2007年

关键词：

springback; Artificial Neural Networks (ANN); bending process; finite element simulation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The accurate prediction of springback is essential for the design of the tools used in automotive sheet forming operations. This paper describes a novel method for predicting the springback in bending operations using artificial neural networks. The accuracy of the model is verified by comparisons with the results of finite element simulations (ABAQUS).

引用

页码：307 / 308

页数：2