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This paper presents the multi-response optimisation of friction stir processing (FSP) process of AZ 31 Mg alloy for an optimal parametric combination to yield maximum tensile strength and elongation using Taguchi and Grey relational analysis (GRA). In this study, the FSP process parameters such as rotational speed, traverse speed and tool tilt angle have been selected. The experiments were planned using Taguchi parametric design L  9   with various combinations of process parameters. Statistical technique ANOVA was used to determine percentage of contribution of process parameters. Optimal results have been verified through confirmation experiments. The results indicate that rotational speed has more effect on responses followed by traverse speed and tool tilt angle. In addition, mathematical models were developed to establish relationship between different process variables and outcomes.

Multi Objective Optimization of Friction Stir Processing Parameters on Mg AZ31B Alloy Using Grey Relational Analysis