Open AccessOptimizing the process parameters in Friction stir Spot Welding Of Dissimilar Aluminum Alloys Using Genetic Algorithm
Author(s) -
R. Suryanarayanan,
V. Sridhar
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1123/1/012027
Subject(s) - spot welding , welding , materials science , rivet , keyhole , electric resistance welding , rotational speed , metallurgy , dwell time , cold welding , mechanical engineering , aluminium , friction welding , friction stir welding , process (computing) , joint (building) , heat affected zone , composite material , structural engineering , computer science , engineering , gas metal arc welding , operating system , medicine , clinical psychology
Welding of dissimilar aluminum alloys by Resistance spot welding and Self-piercing rivets requires high energy consumption, increased cycle time, and costs. Friction stir spot welding (FSSW) is one of the best alternative welding techniques to join dissimilar aluminum alloys with the help of frictional heat and plastic deformation. However, the drawback of this process is the keyhole left behind by the tool. Hence this study focusses on avoiding the keyhole post welding process by the use of pinless tools to join thin sheets of Al 6061 and Al 5754. The influence of process parameters such as tool rotational speed, plunging speed, dwell time, plunge depth, and shoulder diameter was studied on the Tensile shear force of the joint. The optimal welding condition was predicted with the help of the Genetic algorithm. The confirmation tests showed that the predicted optimal conditions were in closer agreement to the experimental value.