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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Platinum Open Access and Multidisciplinary

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Optimization of Resistance Spot Welding of 304 Steel Using GRA

M.R. Rawal, R.R. Kolhapure, S.S. Sutar and V.D. Shinde, ,
Department of Mechanical Engineering, DKTE Society’s Textile and Engineering Institute, Ichalkaranji, -416115(India)

Resistance spot welding (RSW) quality is mainly depends upon the parameters and their levels selected, like welding current, electrode force and welding time etc. So selection of optimal parameter levels plays an important role. Therefore, optimization of weld tensile strength and nugget diameter is selected for study. In this paper, use of Taguchi with Grey relational analysis (GRA) method to determine significant process parameters and their levels for optimal tensile shear strength (T-S) and nugget diameter (N-D) is reported. Taguchi based L27 (33) orthogonal array is selected for experimentation. Experiments are carried out on Stainless Steel 304. The level of importance of the welding parameters on the tensile shear strength and nugget diameter is determined by using analysis of variance (ANOVA) using Minitab 16 software. To improve the spot weld quality (i.e. T-S and N-D) multi objective process parameter optimization is performed using grey relational analysis.

M.R. Rawal ," Optimization of Resistance Spot Welding of 304 Steel Using GRA”, International Journal of Computer Engineering In Research Trends, Volume 3, Issue 9, September-2016, pp. 492-499

Keywords : —Resistance Spot Welding (RSW), Tensile shear strength, Nugget diameter, Taguchi Method, Grey Relational Analysis

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