Parametric Optimization of Metal Inert Gas Welding and Tungsten Inert Gas Welding By Using Analysis of Variance and Grey Relational Analysis

Jay Joshi, Manthan Thakkar, Sahil Vora

Abstract: Metal Inert Gas (MIG) welding and Tungsten Inert Gas (TIG) are one of the widely used techniques for joining ferrous and non-ferrous metals. In this experiment Design of Experiment method was used. For this work with use of the experimental data; optimization done by the grey relational analysis (GRA) technique; in which input parameters for MIG welding are welding current; gas flow and wire feed rate and the output parameter is tensile strength. Also the input parameters for TIG welding are welding current; gas flow and the output parameter is tensile strength. Aluminum used as base material for welding. For Experimental design full factorial method was used (L=m) to find out number of readings. To find out percentage contribution of each input parameters for obtaining optimal conditions; Analysis of variance (ANOVA) method was used. The grey relational grade obtained with use of grey relational analysis technique. By analyzing the Grey relational grade the optimum parameters were evaluated.

Keywords: ANOVA, Grey relational analysis, Tensile Strength, MIG Welding, TIG Welding

How to Cite?: Jay Joshi, Manthan Thakkar, Sahil Vora, "Parametric Optimization of Metal Inert Gas Welding and Tungsten Inert Gas Welding By Using Analysis of Variance and Grey Relational Analysis", Volume 3 Issue 6, June 2014, International Journal of Science and Research (IJSR), Pages: 1099-1103, https://www.ijsr.net/getabstract.php?paperid=2014405, DOI: https://dx.doi.org/10.21275/2014405