基于主成分及灰色关联度分析的5083铝合金FSW接头工艺参数优化  

Process parameters optimization of 5083 aluminum alloy FSW joint based on principal component analysis and grey correlation analysis

作　　者：陈兴惠 张洪申[1] CHEN Xinghui;ZHANG Hongshen(School of Electrical and Mechanical Engineering,Kunming University of Science and Technology,Kunming,650500,China)

机构地区：[1]昆明理工大学,机电工程学院,昆明650500

出　　处：《焊接学报》2023年第5期62-69,I0006,I0007,共10页Transactions of The China Welding Institution

基　　金：国家自然科学基金资助项目(50245036)。

摘　　要：针对铝合金搅拌摩擦焊接工艺参数优化问题,对5083铝合金板材进行研究,开展其在不同搅拌摩擦焊工艺参数下的力学性能探索,运用主成分分析和灰色关联度分析法对试验结果进行探索,得出焊接接头最优工艺参数,并建立基于GRG的工艺参数二阶预测模型.结果表明,均值极差法得出最优工艺参数组合为转速1400 r/min,焊接速度1 mm/s,下压量0.3 mm,接头抗拉强度最大达到225.5 MPa,达到了母材的95.4%,失效位移为10.6 mm.在试验工艺参数范围内,影响接头抗拉强度的主要因素次序为下压量、焊接速度、转速;模型预测值与计算值无显著差异,回归模型与试验数据的吻合度好,说明预测模型可靠度高,此回归模型可作为其预测模型.创新点:(1)把主成分和灰色关联分析法应用到搅拌摩擦焊接工艺参数优化的研究中,采用正交试验,以较少的试验次数获得较优的焊接工艺参数.(2)构建基于灰色关联度的工艺参数二阶预测模型,分析模型拟合度和可靠性情况.Aim at optimizing the friction stir welding(FSW)process parameters of aluminum alloy,5083 aluminum alloy plate was selected as the research object in this study.The mechanical properties of 5083 aluminum alloy plate under different FSW process parameters were explored.Principal component analysis(PCA)and grey relational degree(GRG)analysis were employed to analyze the test results.The optimal process parameters were obtained,and a second-order prediction model of process parameters based on GRG was established.The results show that the optimal combination of process parameters is a rotation speed of 1400 r/min,welding speed of 1 mm/s and plunge depth of 0.3 mm.The maximum tensile strength of the joint reaches 225.5 MPa,95.4%of the base metal,and the failure displacement is 10.6 mm.Among the tested process parameters,the main factors influencing the tensile strength of the joint are plunge depth of shoulder,welding speed and rotation speed in sequence.Besides,there is no significant difference between the predicted value of the model and the calculated value.The good agreement between the regression model and the experimental data indicates that the prediction model has high reliability.The regression model can be used as the prediction model.Highlights:(1)Principal component analysis and grey correlation analysis were applied to the optimization of friction stir welding process parameters.Orthogonal test was used to obtain better welding parameters with less test times.(2)The second-order prediction model of process parameters based on grey correlation degree is constructed,and the fitting degree and reliability of the model are analyzed.

关 键 词：5083铝合金 工艺参数 灰色关联度 抗拉强度 

分 类 号：TG457[金属学及工艺—焊接]