A methodology to predict and optimize the ultimate tensile strength of 6061-T6 aluminium (Al) alloy under a laser–GMA hybrid welding process is presented. Experiments were performed by changing welding process parameters. For the evaluation of weldability, the ultimate tensile strength in the weld zone was considered to be the most important criterion. In order to determine the optimum welding parameters, a robust regression analysis was performed to present a reliable prediction and a genetic algorithm was used. Based on the results of robust regression analysis and the genetic algorithm, the optimal process parameters were obtained. The ultimate tensile strength result obtained by the optimal parameters was much improved, when compared with that specified by the American Welding Society.
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