Open AccessMulti-Response Optimization of Weld-process variables for Micro-Friction Stir Welding of Al6061(T6) and Cu101 sheets using TOPSIS method
Author(s) -
M. Manohar,
K. Mahadevan
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1168/1/012002
Subject(s) - topsis , friction stir welding , welding , response surface methodology , ideal solution , rotational speed , process variable , process (computing) , ultimate tensile strength , surface roughness , work (physics) , materials science , mechanical engineering , structural engineering , computer science , engineering , composite material , physics , operations research , thermodynamics , operating system , machine learning
This work is an attempt to identify the optimum weld-process variables for micro-friction stir welding of Al6061(T6) and Cu101 sheets using multi-response optimization. The experiments were conducted according to L9 orthogonal array with selected input variables namely tool-rotational speed and tool-travel speed. The response variables considered in this study are ultimate tensile strength, micro-hardness and surface-roughness which determine the strength of the welded-joint. The multi-response optimization approach namely Technique for Order Preference by Similarity to Ideal Solution(TOPSIS) method is used to determine the optimum process variables that provides the best value among all response variables. Finally, the optimal solution shows that multi-responses of micro-friction stir welds can be improved through TOPSIS method.