Publication Type:

Conference Proceedings

Source:

Materials Today: Proceedings, Elsevier Ltd, Volume 5, Number 11, p.24820-24826 (2018)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058366154&doi=10.1016%2fj.matpr.2018.10.280&partnerID=40&md5=5295ba35e7a9c5315e4a439c2863bae3

Keywords:

Aluminium alloy, Friction stir welding, particle swarm optimization, Tensile strength

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. © 2018 Elsevier Ltd.

Notes:

cited By 0; Conference of 2017 International Conference on Advances in Materials and Manufacturing Applications, IConAMMA 2017 ; Conference Date: 17 August 2017 Through 19 August 2017; Conference Code:142973

Cite this Research Publication

Dr. Padmanaban R., Vaira Vignesh R., Povendhan, A. P., and Balakumharen, A. P., “Optimizing the tensile strength of friction stir welded dissimilar aluminium alloy joints using particle swarm optimization”, Materials Today: Proceedings, vol. 5. Elsevier Ltd, pp. 24820-24826, 2018.