In this study, the traditional α–β titanium alloy Ti6Al4V sheets were joined by the resistance spot welding (RSW) process. RSW method was modeled numerically and investigated experimentally by using different welding parameters. In numerical modeling, material properties and process parameters were modeled with the finite element method (FEM), and simulations were realized in experimentally performed parameters. In order to validate and calibrate the developed numerical model, preliminary experiments were carried out and then Taguchi L9 orthogonal experimental design was determined to examine the effect of different parameters that are thought to be suitable for this process. The signal/noise (S/N) ratio was used to interpret the results in the determined experimental setup. The experimental study aims to validate the established numerical model and to obtain information such as the unpredictable strength of the welded joint through the numerical model. The experimental results were analyzed by using the Taguchi technique with the help of the Minitab software. In this study, electrode force, welding current, and welding time parameters were determined as the control factors, and the effect of these factors on the results was found using analysis of variance (ANOVA). Lastly, verification tests were performed, and it was determined that optimization was applied successfully.

在这项研究中，传统的α – β钛合金Ti6Al4V板通过电阻点焊（RSW）工艺连接在一起。对RSW方法进行了数值建模，并使用不同的焊接参数进行了实验研究。在数值建模中，使用有限元方法（FEM）对材料属性和工艺参数进行建模，并在实验执行的参数上进行仿真。为了验证和校准开发的数值模型，进行了初步实验，然后确定了Taguchi L9正交实验设计，以检查认为适合此过程的不同参数的影响。信噪比（S / N）用于解释确定的实验设置中的结果。实验研究旨在验证建立的数值模型，并通过数值模型获得信息，例如焊接接头的不可预测的强度。在Minitab软件的帮助下，使用Taguchi技术分析了实验结果。在这项研究中，将电极力，焊接电流和焊接时间参数确定为控制因素，并使用方差分析（ANOVA）发现这些因素对结果的影响。最后，进行了验证测试，并确定成功应用了优化。确定焊接时间参数作为控制因素，并使用方差分析（ANOVA）发现这些因素对结果的影响。最后，进行了验证测试，并确定成功应用了优化。确定焊接时间参数作为控制因素，并使用方差分析（ANOVA）发现这些因素对结果的影响。最后，进行了验证测试，确定成功应用了优化。