Optimization of friction stir welding AA6082-T6 parameters using analysis of variance and grey relational analysis

Abstract Friction stir welding (FSW) is a solid-state process, which has significant role in processes for nonferrous alloys. Conventional arc aluminum alloys such as metal inert gas (MIG) and tungsten (TIG) are replaced by FSW. The effect of FSW parameters rotational traverse speeds, tool geometry, plunge depth, tilt angle, etc., on weld quality were considered several optimization studies. Hence, the fixture position included this study. Multi-criteria decision-making (MDCM) techniques grey relational analysis (GRA) used to determine optimal condition among experimental runs designed response surface methodology (RSM). Taguchi method was widely applied with MCDM techniques. Therefore, experiments conducted according methodology. Input (14, 16 18) mm shoulder diameter (SD), (0.0, 0.2 0.4) depth (PD), (30, 60 90) (FP), distance between bolts fix welded plate. results obtained GRA similar ANOVA optimizer, optimum process conditions 14 mm, mm.