Transactions of Materials and Heat Treatment

Title：Parameter inverse optimization for drawbeads based on improved PSO-BP model

Authors： Wang Xinbao Xie Yanmin Wang Jie Qiao Liang

Unit： Southwest Jiaotong University

KeyWords： PSO drawbeads BP neural network Latin hypercube design inverse optimization

ClassificationCode：

year,vol(issue):pagenumber：2014,39(4):10-15

Abstract：

LHS was optimized by simulated annealing algorithm based on weighted average method，and drawbead force samples were got. Dynaform was used to simulate the wing. Improved PSO-BP was applied to build drawbead force mapping model by taking the maximum thickening and the maximum thinning as output goal. Compared with the unimproved PSO-BP mapping model，the accuracy of improved model was significantly raised.The optimal drawbead force was obtained by simulating the mapping model using PSO，and the optimal drawbead geometrical parameters were obtained by nonlinear equations. The problem of poor computational efficiency brought by remeshing and adopting real drawbead was avoided by employing equivalent drawbead model. Forming diagram proves that the optimal drawbead geometrical parameters can be obtained by using the method.

Funds：

国家自然科学基金资助项目(51005193,51275431)

王新宝（1989-），男，硕士研究生

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