Optimization of process parameters of Stainless steel clad bead geometry deposited by GMAW using integrated SA-GA

There are many established techniques such as Genetic Algorithm (GA), Simulated Annealing (SA),TabooSearch, (TS), Ant Colony Optimization (ACO).In this study GA and SA techniques are used for optimizationpurpose. Most of the engineering applications require high strength and corrosion resistant materials for longterm reliability and performance. By cladding these properties can be achieved with minimum cost. In orderto achieve minimum cost the process parameters has to be optimized.This paper highlights an experimental study to optimize various input process parameters (welding current,welding speed, gun angle, contact tip to work distance and pinch) to get optimum dilution in stainless steelcladding of low carbon structural steel plates using Gas Metal Arc Welding (GMAW). Experiments wereconducted based on central composite rotatable design with full replication technique and mathematicalmodels were developed using multiple regression method. The developed models have been checked foradequacy and significance. In this study Simulated Annealing (SA) and Genetic Algorithm (GA) techniquesare integrated to estimate optimal process parameters that to a minimum parameters that lead to optimumvalue of Dilution.