Optimization of friction stud welding process parameters by integrated Grey-Fuzzy logic approach

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N. Rajesh Jesudoss Hynes
R. Kumar
P. Shenbaga Velu
J. Angela Jennifa Sujana

Abstract

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.

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How to Cite
Hynes, N. R. J., Kumar, R., Velu, P. S., & Sujana, J. A. J. (2019). Optimization of friction stud welding process parameters by integrated Grey-Fuzzy logic approach. Journal of Applied Research and Technology, 16(4). https://doi.org/10.22201/icat.16656423.2018.16.4.724
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Articles
Author Biographies

N. Rajesh Jesudoss Hynes

Department of Mechanical Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India.

R. Kumar

Department of Mechanical Engineering, Vels Institute of Science, Technology & Advanced Studies, Pallavaram, Chennai, India.

P. Shenbaga Velu

Department of Mechanical Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India.

J. Angela Jennifa Sujana

Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamilnadu, India