Optimization of process parameters in friction stir welding of aluminium matrix SiC-Al2O3 composites by genetic algorithm
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초록
Friction stir welding (FSW) grabs more attention since the past decade among the researchers worldwide due to its excellentcharacteristics such as no emission of fumes, no filler material, comparatively economical and so on. Friction stir weldingis effectively used in bringing better joint without any appreciable defects in light materials such as Aluminium, Magnesiumetc., Experiments in FSW of materials with high density such as steel, copper alloys etc., have also been tried out. Theselection of proper welding parameters determines a good weldment. In this work, Aluminium matrix hybrid compositewas manufactured through stir casting with the matrix AA7010 and reinforcements SiC and Al2O3. The hybrid compositeworkpieces were subjected to friction stir welding process by varying the process parameters such as tool rotation speed,welding speed and axial force using Taguchi L27 orthogonal array. Tensile strength of FS welded composite was examinedand regression analysis was done. Genetic Algorithm technique was used to optimize the weld tensile strength within thedesign space of 53 = 125 alternatives of parametric combinations. The study focuses on the improvement of the tensilestrength of the welded specimens.
Abstract
Friction stir welding (FSW) grabs more attention since the past decade among the researchers worldwide due to its excellentcharacteristics such as no emission of fumes, no filler material, comparatively economical and so on. Friction stir weldingis effectively used in bringing better joint without any appreciable defects in light materials such as Aluminium, Magnesiumetc., Experiments in FSW of materials with high density such as steel, copper alloys etc., have also been tried out. Theselection of proper welding parameters determines a good weldment. In this work, Aluminium matrix hybrid compositewas manufactured through stir casting with the matrix AA7010 and reinforcements SiC and Al2O3. The hybrid compositeworkpieces were subjected to friction stir welding process by varying the process parameters such as tool rotation speed,welding speed and axial force using Taguchi L27 orthogonal array. Tensile strength of FS welded composite was examinedand regression analysis was done. Genetic Algorithm technique was used to optimize the weld tensile strength within thedesign space of 53 = 125 alternatives of parametric combinations. The study focuses on the improvement of the tensilestrength of the welded specimens.
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