Optimization of First Deep Drawing Process Parameters for Power Battery Shells Based on Entropy Weight Comprehensive Evaluation Method

doi:10.3969/j.issn.1004-132X.2022.13.013

Abstract

Abstract: Aiming at the problems of wrinkling， cracking， uneven thickness， and large die contact force in the first deep drawing processes of a power battery case， based on entropy weight a comprehensive evaluation method was proposed to optimize the processing parameters of the first deep drawing processes， so as to improve the quality of the first deep drawing processes. Orthogonal experimental simulation was carried out with the influencing factors such as blank-holder force， die radius， punch radius， die clearance， and friction factor， and the evaluation index such as maximum reduction ratio， maximum thickness ratio， maximum limit punch contact force， and maximum differential thickness. Based on the applications of entropy value method and the comprehensive evaluation method， the optimum technological parameters combination was obtained， and the forming quality of the first passes of the power battery cases is improved.

Key words: power battery shell, first deep drawing, orthogonal experiment, entropy weight, comprehensive evaluation

摘要： 针对某动力电池壳首道次拉深成形过程中的起皱、破裂、厚度不均匀和模具接触力大的问题，提出了一种基于熵权的综合评价法对其进行多目标工艺参数优化来提高首道次成形质量。选取压边力、凹模圆角半径、凸模圆角半径、模具间隙、摩擦因数为影响因素，以最大减薄率、最大增厚率、最大凸模接触力、最大厚度差为评价指标，进行正交试验仿真。在此基础上应用熵值法和综合评价法，获得了最优的工艺参数组合，提高了动力电池壳首道次成形质量。

关键词: 动力电池壳, 首道次拉深成形, 正交试验, 熵权, 综合评价

CLC Number:

TG386.32

REN Zhenbao, CAO Chunping. Optimization of First Deep Drawing Process Parameters for Power Battery Shells Based on Entropy Weight Comprehensive Evaluation Method[J]. China Mechanical Engineering, 2022, 33(13): 1622-1628.

任振宝, 曹春平. 基于熵权综合评价法的动力电池壳首道次拉深成形参数优化[J]. 中国机械工程, 2022, 33(13): 1622-1628.

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