Modelling and optimization of friction stir welding parameters of Mg-ZE42 alloy using grey relational analysis with entropy measurement

This research work focuses on ZE42 magnesium alloy processed by using four different friction stir welding (FSW) input parameters then modelled and optimized by grey relational analysis with entropy measurement are made. Input parameters are choose to evaluate a quality welding by axial force, tool rotational speed, welding speed and tool pin profile. Tensile strength (TS) and prediction of hardness strength (HS) responses are noted to optimize the welding characteristics. Welding experiments is planned and conducted by L9 orthogonal array design of experiment. Analysis of variance is used to decide the significant parameters over these parameters. Entropy measurement is added to optimize the quality welding characteristics on each parameter. Grey relational grade variance results predicts, tool pin profile is the most significant parameter whereas welding speed and axial force is less significant process parameters from grey relation grade. The grade results are validated by confirmation experiments.