锻压技术

基于随机聚焦搜索算法的汽车后围内板冲压工艺优化设计

英文标题：Optimization of stamping process design for automobile body lower back panel based on stochastic focusing search algorithm

作者：龙玲1 张健2 董洁1 刘巧燕1

单位：（1．成都航空职业技术学院汽车工程学院四川成都 610100 2．中国汽车工程研究院重庆 401122)

关键词：汽车后围内板冲压工艺随机聚焦搜索算法数值模拟多目标优化

分类号：TG386.1

出版年,卷(期):页码：2018,43(5):0-0

摘要：

汽车覆盖件成形质量的影响因素及控制具有一定的复杂性和不确定性，仅凭经验和试错法，较难确定合理的工艺参数组合。以汽车后围内板为例，采用基于随机聚焦搜索算法的优化设计方法进行冲压工艺参数的优化设计。通过数值模拟与正交实验相结合获取优化模型的训练样本，利用BP神经网络构建随机聚焦搜索算法的优化目标函数模型，在此基础上应用随机聚焦搜索算法对工艺参数进行多目标优化，将优化后的工艺参数分别通过数值模拟和现场试模验证，均能得到较好且一致的成形质量，验证了该优化方法的正确性。

Due to the complexity and uncertainty of influencing factors and controls on the automobile body forming quality, it is hard to determine reasonable combination of stamping process parameters only by experience and trialanderror method. The lower back panel of an automobile was taken as an example to optimize stamping process parameters by using an optimization design method based on stochastic focusing search algorithm. The training samples for the optimization model were obtained by combining numerical simulation with orthogonal experiments, and the BP neural network was used to construct the optimized objective function model for the stochastic focusing search algorithm. Based on the function model, the multiobjective optimization of process parameters was conducted by using the stochastic focusing search algorithm, which were verified and validated by numerical simulation and site die trial respectively. The result shows that the better and consistent forming quality is obtained by using the optimized process parameters, which verifies the validty of the optimization method.

基金项目：

四川省教育厅理工科重点项目（14ZA0308）

作者简介：龙玲（1979- ），女，博士，副教授 Email：sclongling@163.com

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