Transactions of Materials and Heat Treatment

Title：Stamping process optimization of automobile rear inner panel based on Gaussian perturbation particle swarm

Authors： Hu Jinda

Unit： Automobile Branch of Shenyang Polytechnic College

KeyWords： automobile rear inner panel Gaussian perturbation particle swarm algorithm stamping process BP neutral network orthogonal experiment

ClassificationCode：TG386.1

year,vol(issue):pagenumber：2020,45(12):46-52

Abstract：

To improve the quality of automobile rear inner panel, based on Gaussian perturbation particle swarm algorithm, the stamping process optimization method was proposed, and for the stamping process, drawing process parameters were chosen as optimizing parameters. Then, the parameters reflecting workpiece quality were chosen as objective parameters, and the optimizing objective function was built. Furthermore, the orthogonal experiment with four factors and four levels was designed, and the experiment data were fit by BP neutral network with single hidden layer. On the basis of particle swarm algorithm, the elite particles staged gaussian perturbation strategy was put forward, and based on Gaussian perturbation particle swarm algorithm, the solving method of optimizing model was designed to obtain the optimal parameters of drawing process. Finally, it was clarified by simulation forming and trial workpiece that there was no wrinkling and cracking in the optimized stamping process, which proves the validity of optimized stamping process.

Funds：

黑龙江省应用技术研发计划重大项目(GA17A401)

胡锦达（1981-），女，硕士，副教授 E-mail：1607164419@qqcom

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