RSW parameter optimization and quality prediction of aluminum alloy and low-alloy carbon steel dissimilar joints

IF 3.1 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING
Yong Xu, Yaowu Hu, Qianwei Chen, Bingxu Wang, Feng Qiu, Xiaofu Chen, Qiaofeng Shen, Anwei Ying, Hongjun Li
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引用次数: 0

Abstract

This study conducts an orthogonal experiment to determine the optimal welding parameters for resistance spot welding (RSW) between aluminum alloy and low-alloy carbon steel sheets. The microstructure and quality indicators (nugget diameter, tensile-shear strength, and indentation rate) of the RSW joints are comprehensively analyzed. Additionally, the quality of the RSW joints, including tensile-shear strength, nugget diameter, and indentation rate, is predicted using the crested porcupine optimizer-support vector regression (CPO-SVR) algorithm. Results from the orthogonal experiment demonstrate that the parameter combination of 16 kA welding current, 250 ms welding time, and 3.5 kN electrode force produces the RSW joints with superior performance, including a tensile-shear strength of 2.285 kN, a nugget diameter of 8.1 mm, and an indentation rate of 42%. Compared with the optimal RSW joint in the control variable experiment, the tensile-shear strength increases by 40 N, the nugget diameter decreases by 0.1 mm, and the indentation rate decreases by 10.6%. The range and variance analysis reveal that welding current has the most significant effect on the tensile-shear strength of the RSW joints, followed by electrode force, whereas welding time has the least effect. For the microstructural analysis, it is found that an elliptical nugget forms at the center of the low-alloy carbon steel side, while a bowl-shaped nugget fully penetrates the aluminum sheet on the aluminum alloy side. A continuous and thin bilayer intermetallic compound (IMC) layer is identified at the interface between aluminum alloy and low-alloy carbon steel, with a thickness of 1 µm. The IMC layer exhibits a needle-like morphology on the aluminum alloy side and a tongue-like morphology on the low-alloy steel side. The CPO-SVR algorithm can accurately predict the quality of RSW joints. For shear strength, the root mean square error (RMSE), mean absolute error (MAE), and the coefficient of determination (R2) values for the test set are measured at 0.089, 0.07, and 0.921, respectively. For nugget diameter, the RMSE, MAE, and R2 values for the test set are 0.289, 0.235, and 0.912, respectively. For indentation rate, the RMSE, MAE, and R2 values for the test set are 2.339, 1.798, and 0.936, respectively. These findings provide valuable references for the development of high-performance dissimilar RSW joints.

铝合金与低合金钢异种接头RSW参数优化及质量预测
通过正交试验确定了铝合金与低合金碳钢薄板电阻点焊的最佳焊接参数。综合分析了焊接接头的显微组织和质量指标(熔核直径、抗拉抗剪强度、压痕率)。此外,利用冠状豪猪优化-支持向量回归(CPO-SVR)算法预测了RSW接头的抗剪强度、核块直径和压痕率。正交试验结果表明,焊接电流为16 kA、焊接时间为250 ms、电极力为3.5 kN的参数组合可获得抗拉剪切强度为2.285 kN、熔核直径为8.1 mm、压痕率为42%的优良焊接头。与控制变量试验中最优的RSW节理相比,抗剪强度提高了40 N,熔核直径减小了0.1 mm,压痕率降低了10.6%。极差和方差分析表明,焊接电流对焊接头抗拉剪切强度的影响最大,其次是电极力,焊接时间对焊接头抗拉剪切强度的影响最小。显微组织分析发现,低合金钢侧的中心形成椭圆形的熔核,铝合金侧的中心形成碗形的熔核,熔核完全穿透铝板。在铝合金与低合金碳钢的界面处发现了一层厚度为1 μ m的连续薄的双层金属间化合物(IMC)层。IMC层在铝合金侧呈针状形貌,在低合金钢侧呈舌状形貌。CPO-SVR算法能准确预测RSW接头的质量。对于抗剪强度,测试集的均方根误差(RMSE)、平均绝对误差(MAE)和决定系数(R2)分别为0.089、0.07和0.921。对于熔核直径,测试集的RMSE、MAE和R2分别为0.289、0.235和0.912。对于缩进率,测试集的RMSE、MAE和R2值分别为2.339、1.798和0.936。这些研究结果为开发高性能异种RSW接头提供了有价值的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Welding in the World
Welding in the World METALLURGY & METALLURGICAL ENGINEERING-
CiteScore
4.20
自引率
14.30%
发文量
181
审稿时长
6-12 weeks
期刊介绍: The journal Welding in the World publishes authoritative papers on every aspect of materials joining, including welding, brazing, soldering, cutting, thermal spraying and allied joining and fabrication techniques.
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