ABSTRACT
This chapter summarizes the different methodologies followed to optimize the input parameters of different welding processes. The welding processes involve a large number of process parameters; however, based on the engineer’s basic knowledge, available machine capabilities, and desired quality specification required, certain factors are kept constant so as to give desired effect on output. The Taguchi method can be a good solution for small and target problems; however, for the application which requires the simultaneous optimization of the response parameter, an additional methodology needs to be incorporated. The use of meta-heuristics approach for the optimization of the welding process is gaining popularity. The response surface methodology approach can be considered a step ahead of the Taguchi method as they provide a mathematical relationship between input and output parameters. The weighted additive utility function method has been widely used for the optimization by forming an objective function giving weights to different input responses of the welding processes.
