Taguchi-based fuzzy logic approach to optimize friction stir welding of commercial Aluminium alloy Al6082 & Al6063 using multi-response performance index (MRPI)

Abstract

Friction Stir Welding (FSW) is a state-of-the art welding technique in which a specially designed rotating tool consists of a shoulder and a pin that applies the frictional force. Friction causes to produce heat on the work piece to weld two work pieces clamped together on fixture. Current research articles covers the optimization of friction stir welding process parameters viz. tool pin profile, tool rotation and feed rate on the response parameter like tensile strength and hardness. Experimentation is carried out on the similar Aluminium alloy Al6082 and Al6063 which are commercial grades and widely used in different applications. Taguchi technique integrated with fuzzy logic is used to find the multi response parameter index (MRPI).