The analysis of MIG welding parameters for multi response optimization using Taguchi’s Orthogonal array and Grey relational approach

Abstract

The MIG welding is one of the most popular welding techniques used in industries. This uses a consumable metal electrode. The
input parameters in MIG welding play a significant role in deciding the weld quality, strength, cost and speed. Most of times
manufacturer faces a problem to select optimum process parameters for a good quality weld. This paper tries to present the effect
of different welding parameters like welding voltage, filler wire rate and v-angle etc. on the strength of the weld joint and
elongation produced during the tensile test. These all parameters have different effect on welding quality. In order to optimize
these parameters for better weld quality Taguchi Orthogonal array and Grey relational analysis has been used. The medium
carbon steel slabs have been used as welding material. The Taguchi orthogonal array and ANOVA is also employed to predict the
results.