By controlling various friction stir spot-welded (FSSW) factors, two base sheets AA5052-H32\nand 6061-T6 were selected to bond similar and dissimilar metal joints while considering dissimilar\nconfiguration orders. The effects of weld parameters on the sheer strength and peel strength were\nseparately developed into empirical models utilizing the integrated central composite matrix design\nand response surface methodology (RSM). Meanwhile, the finite element (FE) analysis of the multi-axis\nload-bearing characteristics for automotive solder joints during service was carried out. As a result,\nthe weights of the shear and axial stress, accounting for 90.5% and 9.5% respectively, were employed\nto restrict the relationship between multiple target properties, and the resulting security strength\nwas applied to determine the feasible domain in subsequent parametric optimization. In order to\nenable the optimal multi-axis capacities in accordance with the load mode, the genetic algorithm\nNSGA-II was chosen to compute the Pareto front and further determine the best compromise solutions.\nThe obtained optimums corresponding to each joining condition were validated by confirmation runs,\nindicating that this coupled multi-objective optimization approach based on working conditions was\nbeneficial to the targeted improvement of post-weld mechanical properties.
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