Open AccessOptimization of friction stud welding process parameters by integrated Grey-Fuzzy logic approach
Author(s) -
N. Rajesh Jesudoss Hynes,
R. Suresh Kumar,
P. Shenbaga Velu,
J. Angela Jennifa Sujana
Publication year - 2018
Publication title -
journal of applied research and technology
Language(s) - English
Resource type - Journals
ISSN - 2448-6736
DOI - 10.22201/icat.16656423.2018.16.4.724
Subject(s) - taguchi methods , fuzzy logic , orthogonal array , process (computing) , rotational speed , welding , friction welding , work (physics) , engineering , mechanical engineering , mathematics , computer science , artificial intelligence , statistics , operating system
In this work, an integrated grey fuzzy logic technique is employed for solving the multi objective function of friction stud welding machine process parameters. This technique converts the multi-objectives into a grey fuzzy reasoning grade. According to the grey fuzzy reasoning grade, an optimal combination of process parameters is concluded. Here, Taguchi L9 orthogonal array is used to design the experiments. The objective of this work is to maximize impact strength and minimize metal loss during the joining of AA 6063 and AISI 1030 steel. Rotational speed, friction time, and friction pressure are considered as the input process parameters. The outcomes of the confirmation test show that good joining strength is accomplished by the optimal level of process parameters.