汽车铝合金冲压厚度模型与多目标优化分析  

Automotive aluminum alloy stamping thickness model and multi-objective optimization analysis

作　　者：朱可宁 赵熹[1] 冯帆[1] ZHU Kening;ZHAO Xi;FENG Fang(Shaanxi Defense Industry Vocational and Technical College,Xi'an 710300,Shaanxi,China)

机构地区：[1]陕西国防工业职业技术学院,陕西西安710300

出　　处：《模具技术》2025年第1期65-70,共6页Die and Mould Technology

基　　金：2024年度陕西省职业技术教育学会课题,课题名称:“双高”背景下新能源汽车技术专业群产教融合高质量发展模式探究(编号2024SZX344);陕西国防工业职业技术学院2023年度课程思政示范课(编号:GFSZ-23-12新能源汽车概论)。

摘　　要：为提升6061铝合金冲压件的成型质量,深入了解该材料在冲压工艺下的参数设计方法。采集了摩擦系数、模具间隙、板料起始温度、冲压速度等关键指标的样本数据,通过梯度提升回归树预测模型描述各项工艺参数与成型厚度之间的关系,并输出最大减薄率和最大增厚率预测值。在此基础上,建立服务于关键指标参数的多目标成型优化方案,提出方案的目标函数与约束条件,并通过Python软件中的NSGA-II算法输出各项指标参数的最优解。经仿真测试后发现,回归树预测模型所给出的最大减薄率和最大增厚率预测结果与有限元仿真结果十分接近,预测误差在5%以内,是较为理想的准确率。In order to improve the forming quality of 6061 aluminum alloy stamping parts,the parametric design method of this material under stamping process is deeply understood.In this study,the sample data were collected based on key indicators such as friction coefficient,die clearance,sheet starting temperature,stamping speed,etc.,and the relationship between various process parameters and forming thickness was described through the gradient boosted regression tree prediction model,and the maximum thinning rate and maximum thickening rate prediction values were output.On this basis,a multi-objective forming optimization scheme serving the key index parameters is established,the objective functions and constraints of the scheme are proposed,and the optimal solutions of each index parameter are output through the NSGA-II algorithm in Python software.After the simulation test,it is found that the prediction results of the maximum thinning rate and the maximum thickening rate given by the regression tree prediction model are very close to the finite element simulation results,and the prediction error is within 5%,which reflects the ideal accuracy level.

关 键 词：铝合金冲压件 减薄率 增厚率 梯度提升回归树 

分 类 号：TH142[一般工业技术—材料科学与工程]