A Review on different optimization techniques used to optimize the process parameters of Resistance spot welding

Resistance spot welding process is one of the very useful and widely utilized joining processes in automobile industry due to its high working speed, high productivity, flexibility and economical cost operation. In this paper various optimization techniques like Taguchi method, Artificial neural network (ANN), Genetic algorithm (GA) etc. and their applications are discussed to get the optimum weld parameters. These optimum weld parameters affect the quality of weld and help to improve the quality of weld product in design phase. Key wordsResistance spot welding, weld parameters, Taguchi method, ANN, GA, Response surface method