Multi-objective optimization of process parameters in TIG-MIG welded AISI 1008 steel for improved structural integrity

This study investigates a parametric multi-objective optimization of the Tungsten Inert Gas-Metal Gas (TIG-MIG) hybrid welding AISI 1008 mild steel joints. A combined grey relational system theory and Taguchi method was used for process towards achieving set parameter that maximizes both ultimate tensile strength 0.2% yield structural applications. An L-9 orthogonal array based on adopted experimental design matrix. Grey grading to establish single grade responses. Mathematical models first- second-order regressions were developed optimum combination optimizes response obtained. From results, gas flow rate had most significant influence responses with percentage contribution 39.77%. Also, regression higher coefficient determination (R2) compared first-order two and, thus, represents best fit process. The improved by 0.0489 through optimization. interactive effects parameters their are also illustrated surface plots. shows effectiveness in TIG-MIG