The modeling and optimization of resistance spot welded 5052 aluminum to Al-Si coated boron steel was quantitatively analyzed using response surface methodology and genetic algorithm. The significance and accuracy of the quadratic models was calculated by F tests, P tests, and R² tests. The welding current is the most parameter in affecting shear strength whereas all the three parameters have a significant influence in determining nugget diameter according to response surface analysis. After obtaining the optimized parameters of 26 kA, 7.66 kN, and 139.3 ms by genetic algorithm, the optimized sample exhibited a sound appearance without any visible defects and a better shear strength in excess of 5.8 kN. Another comparative experiment shows that the Al-Si coating plays a significant role in improving the metallurgical bonding during the RSW of aluminum to steel.

采用响应面法和遗传算法对5052铝与铝硅涂层硼钢点焊的建模与优化进行了定量分析。通过F检验，P检验和R ²计算二次模型的显着性和准确性测试。焊接电流是影响剪切强度的最大参数，而这三个参数在根据响应面分析确定熔核直径方面均具有重要影响。通过遗传算法获得26 kA，7.66 kN和139.3 ms的优化参数后，优化后的样品呈现出良好的外观，没有任何可见的缺陷，并且剪切强度超过5.8 kN。另一个比较实验表明，Al-Si涂层在改善铝与钢的RSW期间的冶金结合方面起着重要作用。