Springback Compensation for Multi-curvature Part Based on multi-objective optimization of Fuzzy Genetic Algorithm
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 as a reference for sheet metal forming tool design and controlling of springback.
Springback fuzzy optimization multi-curvature part neural network genetic algorithm
Wenjuan Liu Zhiyong Liang
Department of Computer Science, Zhaoqing University, Zhaoqing 526061
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3659-3664
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）