This study investigated the multi-response optimization of tungsten inert gas welding (TIG) welding process for an optimal
parametric combination to yield favorable bead geometry of welded joints using the Grey relational analysis and Taguchi
method. Sixteen experimental runs based on an orthogonal array of Taguchi method were performed to derive objective
functions to be optimized within experimental domain. The objective functions have been selected in relation to parameters of
TIG welding bead geometry; bead width, bead height, penetration, area of penetration as well as width of heat affected zone and
tensile load. The Taguchi approach followed by Grey relational analysis to solve the multi-response optimization problem. The
significance of the factors on overall quality characte...