PARAMETRIC OPTIMIZATION OF MIG PROCESS PARAMETERS USING TAGUCHI AND GREY TAGUCHI ANALYSIS

The aim of this study is to investigate the optimization process parameters for Metal inert gas welding (MIG). The optimization of MIG welding operating parameters are for alloy steel work piece using grey relational analysis method. Sixteen experimental runs based on an orthogonal array Taguchi method were performed. This paper presents the influence of welding parameters like wire diameter, welding current, arc voltage, welding speed, and gas flow rate optimization based on bead geometry of welding joint. The objective function have been chosen in relation to parameters of MIG welding bead geometry Tensile strength, Bead width, Bead height, Penetration and Heat affected zone (HAZ) for quality target. Optimal parameters contribution of the MIG operation was obtained via grey relational analysis. By analysis the grey relational grade, preprocessed data, and grey relational coefficient of grey relational controllable process factor on the individual quality characteristic targets additionally the analysis of variance (ANOVA) is also applied to identify the welding current is the most significant factor. Experiment with the optimized parameter setting, which have been obtained from the analysis,