Abstract
Age hardenable aluminum alloys such as AA2024 and AA6061 are extensively usd in automotive, aircraft and marine industries because of its high strength to weight ratio and good ductility. When compared to fusion welding techniques Friction Stir Welding (FSW) is a promising technique to improve the quality of the weld joint. FSW process parameters such as tool rotational speed (N), welding speed (F), axial load (P) and tool pin profiles (Cylindrical, Square and Taper) have crucial effects on the mechanical properties of FS welded joints significantly. The mathematical model was developed for the responses namely Ultimate Tensile Strength (UTS) and Tensile Elongation (TE) using Response Surface Method (RSM) and the developed mathematical model was effectively utilized to optimize the FS welded process parameters using non-dominated sorting genetic algorithm-II (NSGA-II). The maximized tensile properties of FS welded age hardenable aluminum alloys were obtained nearly 143.3 N/mm2 with its corresponding tensile elongation of 12.53%. It is concluded that, the NSGA - II is very useful in optimizing the process parameters of FS Welding and improving the quality of the weld joint.
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