Process parameters for friction stir welding on A319 aluminium alloy using hybrid technique for order of preference by similarity to an ideal solution and grey relational analysis multi-criteria decision-making method

Abstract

The major goal of this study is to look into friction stir welding process parameter optimization with the combined decision model, the tensile strength of the best parameter combinations is higher. The recommended hybrid strategy for order preference by similarity to ideal solution (technique for order of preference by similarity to an ideal solution) and grey relational analysis method are used to discover the optimum process parameters. It is also suitable for welding aluminium alloy A319 is Tool rotational speed (r/min), Feed for welding (mm/min), and diameter of tool pin (mm) are all considered while using the friction stir welding process. This operation is primarily implemented through various experiments using Taguchi L9 orthogonal arrays. To this problem, the (technique for order of preference by similarity to an ideal solution) and (grey relational analysis) models are used. Hence, this technique has demonstrated the technology used to identify multi-criteria decision-making in friction stir welding and process parameter optimization for the best results.