锻压技术

车辆悬架纵臂冲压工艺的改进花授粉算法优化

英文标题：Optimization on stamping process of vehicle suspension longitudinal arm based on improved flower pollination algorithm

作者：刘宝生邓三鹏

单位：天津交通职业学院天津职业技术师范大学

关键词：悬架纵臂冲压成形开裂临界状态改进花授粉算法减薄率

分类号：TG386

出版年,卷(期):页码：2021,46(11):130-136

摘要：

为了减小车辆悬架纵臂的冲压减薄率、提高产品的加工合格率，提出了冲压工艺参数的改进花授粉算法优化方法。介绍了悬架纵臂三维模型和冲压成形过程。使用有限元仿真分析了开裂临界状态下的等效应力分布和厚度分布，并确定了开裂危险位置。以减小危险位置减薄率为目标建立了优化模型，选择了上模压力和摩擦因数作为优化参数。使用最优拉丁超立方抽样设计了80组实验，建立了2输入1输出的BP神经网络结构，用于拟合工艺参数与质量参数的非线性关系。对花授粉算法的全局搜索方法进行了改进，提高了算法的搜索能力，利用改进花授粉算法求解优化模型得到了最佳参数组合。经验证，优化后悬架纵臂冲压件危险位置的厚度均值为1.637 mm、标准差为0.091 mm；产品合格率由现行的60%提高到了97%。

In order to reduce the thinning rate of vehicle suspension longitudinal arm in the stamping and improve the processing qualification rate of products, the optimizated method of stamping process parameters based on flower pollination algorithm was proposed, and the 3D model and the stamping process of suspension longitudinal arm were introduced. Then, the distributions of equivalent stress and thickness in the critical state of cracking were analyzed by finite element simulation, and the critical location of cracking was determined. Furthermore, the optimization model was established with the goal of reducing the thinning rate of dangerous locations, the upper die pressure and friction coefficient were chosen as the optimization parameters. Optimal Latin hypercube sampling was used to design eighty groups of experiment, and BP neutral network structure with two inputs and one output was established to fit the nonlinear relationship between process parameters and quality parameters. Finally, the global search method of flower pollination algorithm was improved to enhance the search ability of the algorithm, and the optimal parameters combination was obtained by using the improved flower pollination algorithm to solve the optimization model. It is clarified that after optimization, the average thickness of staming parts for suspension longitudinal arm at the dangerous location is 1.637 mm, the standard deviation is 0.091 mm, and the product qualification rate increases from the current 60% to 97%.

基金项目：

国家青年自然科学基金资助项目（61301040）

作者简介：刘宝生（1974-），男，硕士，副教授，E-mail：284078387@qq.com

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