Springback Compensation for Multi-curvature Part Based on multi-objective optimization of Fuzzy Genetic Algorithm

被引：1

作者：

Liu, Wenjuan ^{[1
]}

Liang, Zhiyong ^{[1
]}

机构：

[1] Zhaoqing Univ, Dept Comp Sci, Zhaoqing 526061, Peoples R China

来源：

CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS | 2009年

关键词：

Springback; fuzzy optimization; multi-curvature part; neural network; genetic algorithm;

D O I：

10.1109/CCDC.2009.5192370

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Springback for multi-curvature part is a very important factor influencing the quality of sheet metal forming. Accurate calculation and controlling of springback are essential for the design of tools for sheet metal forming. In this paper, a springback quick compensation model is proposed to solve the problem of springback, which is based on fuzzy optimization, improved GA-ANN algorithm and sheet metal forming springback experiment of multi-curvature part. The springback test results indicate that the springback compensation and analysis based on fuzzy optimization GA-ANN model are practical and reasonable. Springback calculation results with some precision can be achieved. It can be taken is a reference for sheet metal forming tool design and controlling of springback.

引用

页码：3659 / 3664

页数：6

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