锻压技术

基于响应面法与灰狼优化算法的壳体拉深成形模具优化设计

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

作者：胡开元1 王雷刚2

单位：1.成都理工工程技术学院自动化工程系 2.江苏大学材料科学与工程学院

关键词：壳体拉深成形模具优化响应面法灰狼优化算法

分类号：TG389

出版年,卷(期):页码：2022,47(6):244-250

摘要：

为解决壳体拉深成形模具优化设计的实际问题，提出一种基于响应面法和灰狼优化算法的优化凹模尺寸参数的优化方法。以模口圆角半径Ra、中间带直径Dm、入模角α和定径带宽度B为设计变量，采用中心复合设计进行实验安排，以壳体的外径、高度、中心底厚及口部不平整度作为优化指标，并联合运用灰色关联分析法和熵权法，构建设计变量与优化指标之间的响应面模型，最后借助灰狼优化算法对预测模型进行寻优。最优凹模尺寸参数组合为：Ra=12 mm，Dm=Φ19.3 mm，α=20°和B=1.4 mm。采用优化后的凹模尺寸参数进行模拟验证和工艺实验，结果显示壳体所有尺寸指标均满足设计要求。

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.

基金项目：

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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