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基于Kriging模型的钢铝异质板料无铆钉铆接结构工艺参数优化
引用本文:李奇涵,孟楷博,韩小亨,高嵩,徐传伟,谷东伟,马风雷,赵庆明.基于Kriging模型的钢铝异质板料无铆钉铆接结构工艺参数优化[J].锻压技术,2022,47(1):36-42.
作者姓名:李奇涵  孟楷博  韩小亨  高嵩  徐传伟  谷东伟  马风雷  赵庆明
作者单位:长春工业大学 机电工程学院, 吉林 长春130012;长春施米特自动化技术有限公司, 吉林 长春130000
基金项目:吉林省科技发展计划项目(20190302100GX);;国家自然科学基金资助项目(51805045);
摘    要:针对钢铝异质板料无铆钉铆接成形接头力学性能差的问题,对铆接过程的结构工艺参数优化开展研究.以提高接头的最大抗拉力和抗剪力为目标,首先,建立了无铆钉铆接成形过程数值仿真模型,通过对比接头截面关键尺寸,验证了数值模型的可靠性;其次,对主要结构工艺参数进行拉丁超立方抽样试验,获取代表性样本点集及其数值仿真结果;随后,利用Kr...

关 键 词:无铆钉铆接  钢铝异质板料  Kriging模型  遗传算法  多目标优化

Optimization on structural process parameters in clinching for steel-aluminum heterogeneous sheets based on Kriging model
Li Qihan,Meng Kaibo,Han Xiaoheng,Gao Song,Xu Chuanwei,Gu Dongwei,Ma Fenglei,Zhao Qingming.Optimization on structural process parameters in clinching for steel-aluminum heterogeneous sheets based on Kriging model[J].Forging & Stamping Technology,2022,47(1):36-42.
Authors:Li Qihan  Meng Kaibo  Han Xiaoheng  Gao Song  Xu Chuanwei  Gu Dongwei  Ma Fenglei  Zhao Qingming
Affiliation:(School of Mechanical and Electrical Engineering,Changchun University of Technology,Changchun 130012,China;Changchun Schmidt Automation Technology Co.,Ltd.,Changchun 130000,China)
Abstract:Aiming at the problem of poor mechanical properties for joints formed by clinching steel-aluminum heterogeneous sheets,the optimization of structural process parameters in the clinching process was studied.To improve the maximum tensile and shear resistance forces of the joint,firstly,a numerical simulation model of the clinching process was established,and the reliability of the numerical model was verified by comparing the key dimensions of the joint section.Secondly,for the main structural process parameters,the Latin hypercube sampling test was conducted to obtain representative sample point set and its numerical simulation results.Then,the neck thickness value and self-locking value of the joint were predicted by Kriging approximate model,and the relative error of the prediction was less than 10%to verify the predictive ability of Kriging model.Finally,the multi-objective optimization of structural process parameters was performed by combing Kriging model with genetic algorithm.Furthermore,the test was conducted by the optimized structural process parameters,the maximum tensile resistance force of clinching joints was increased by 9.4%,and the maximum shear resistance force was increased by 26.4%,which verified the effectiveness of the optimization results.
Keywords:clinching  steel-aluminum heterogeneous sheets  Kriging model  genetic algorithm  multi-objective optimization
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