Transactions of Materials and Heat Treatment

Title：Process parameters optimization of sheet metal forming in drawing process based on the technology of genetic algorithm and artificial neural network

Authors： PAN Jiang-feng ZHONG Yue-xian YUAN Chao-long (Key Lab for AMMPT Ministry of education Tsinghua University Beijing 100084 China)

Unit：

KeyWords： genetic algorithm artificial neural network blank-holding force drawing velocity

ClassificationCode：TG386.3

year,vol(issue):pagenumber：2006,31(6):44-46

Abstract：

Based on the combining of numerical simulation and artificial neural network,the mapping relations of process parameters and sheet metal forming quality in drawing process are established.It has enough precision and less times of numerical simulation.Based on the artificial neural network model,several process parameters of sheet metal forming in drawing process are optimized using genetic algorithm.The test results show that the algorithm has a good optimization effect.

Funds：

Reference：

[1]吴建军,周维贤.板料成形性基础[M].西安:西北工业大学出版社,2004.
[2]闻新,周璐,王丹力,等.MATLAB神经网络应用设计[M].北京:科学出版社,2000.
[3]熊辉,赵英凯,丁瑶君.基于神经网络的遗传算法优化及其应用[J].南京化工大学学报,2000(7):21 24.

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