The application of the genetic algorithm to the numerical simulation in sheet metal forming

被引：0

作者：

Xu, Jingjing ^{[1
]}

Li, Changdong ^{[1
]}

Wu, Yimin ^{[1
]}

Huang, Wei ^{[1
]}

机构：

[1] Shanghai Univ, Sch Mech Engn, Shanghai, Peoples R China

来源：

KNOWLEDGE ENTERPRISE: INTELLIGENT STRATEGIES IN PRODUCT DESIGN, MANUFACTURING, AND MANAGEMENT | 2006年 / 207卷

关键词：

genetic algorithm; numerical simulation; parameter recognition; finite element method; Nonlinear material model;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This study presents a genetic algorithm GA adopted for recognizing the material parameters with the nonlinear relation in the sheet metal forming. Firstly the nonlinear regression model is established for the parameters estimation. Then based on the material tensile test the parameters estimation is finished by GA and the least square method LS. At last GA is applied for recognizing the material model parameters and the numerical simulation is finished in the V-shape sheet metal forming.

引用

页码：755 / +

页数：2

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