Multiple Response Optimization Of Friction Stir Processing Aluminium Alloy Using Response Surface Methodology And Grey Relation

This study aimed at multiple response optimization for the process parameters during friction stir processing (FSP) of aluminium (Al 6061) alloy plate using response surface methodology and grey relation analysis. The experiments are conducted by varying the process parameter namely tool profile, tool rotation speed and tool feed. The process parameters are devised to optimize the ultimate tensile strength (UTS) and elongation percentage (EL%). The design of experiment is adopted based on the response surface methodology (RSM) randomized central composite design (CCD) using Design Expert11 software. The grey relation analysis (GRA) is used to optimize the multi response into a single objective by evaluating the process parameters using grey relation grade (GRG). The optimum process parameters are obtained based on GRG and a validation test is conducted to the confirm the findings. The experimental findings have predicted that the responses of friction stir processing can be enhanced by the integrated approach.