Optimizing the tensile strength of friction stir welded dissimilar aluminium alloy joints using particle swarm optimization. (2018)

• Record Type: Journal Article
• Authors: Padmanaban, R.; Vignesh, R. Vaira; Povendhan, A.P.; Balakumharen, A.P.
• Is Part Of: Materials today. Volume 5:Number 11(2018)Part 3
• Page Start: 24820
• Page End: 24826
• Publication Date: 2018
• Subjects: Friction Stir Welding -- Aluminium alloy -- Tensile Strength -- Particle Swarm Optimization; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2018.10.280
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Aluminium alloys AA2024 and AA7075 plates were friction stir welded by varying the tool rotation speed and welding speed and corresponding tensile strength of the joints were measured. A mathematical model was developed using response surface methodology to predict the tensile strength of the joints. The FSW process parameters were optimized for maximizing the tensile strength using particle swarm optimization algorithm. The optimum FSW process parameters for dissimilar welding of AA2024 and AA7075 plates were deduced as welding speed of 15 mm/min and tool rotation speed of 1087 rpm.