Transactions of Materials and Heat Treatment

Title：Optimization design on shell deep drawing die based on response surface methodology and grey wolf optimization algorithm

Authors： Hu Kaiyuan1 Wang Leigang2

Unit： 1.Department of Automation Engineering Engineering and Technical College of Chengdu University of Technology 2.School of Materials Science and Engineering Jiangsu University

KeyWords： shell deep drawing die optimization response surface methodology grey wolf optimization algorithm

ClassificationCode：TG389

year,vol(issue):pagenumber：2022,47(6):244-250

Abstract：

n order to solve the practical problem of optimization design for deep drawing die for shell, a optimization method was proposed to optimize the size parameters of die based on response surface methodology and grey wolf optimization algorithm. Then, taking die fillet radius Ra, diameter of intermediate zon Dm, angle α entering the die and width B with constant diameter as the design variables, the experimental arrangement was conducted by central composite design, and taking outer diameter, height, center bottom thickness and mouth roughness of shell as the optimization indexes, the response surface models between design variables and optimization indexes was constructed by combining grey relational analysis method and entropy weight method. Furthermore, the prediction model was optimized by gray wolf optimization algorithm, and the optimal combination of die size parameters were Ra=12 mm，Dm=Φ19.3 mm，α=20° and B=1.4 mm. Finally, the optimal die size parameters were verified by numerical simulation and process test. The results show that all the size indexes of shell meet the design requirements.

Funds：

2021年乐山市重点科技研究项目(21GZD007)

胡开元（1983-），男，硕士，讲师 E-mail：626489509@qq.com

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