Ultrasonic assisted stir casting was used to fabricate aluminium based metal matrix composite reinforcement with 4% copper and various combinations (0, 1 or 2 wt.%) of aluminium oxide. In this study, Taguchi Grey Relational Analysis (GRA) was used to optimise the wear behaviour of the metal matrix composite reinforcement. Reinforcing elements were visualised using SEM, which shows that a uniform distribution is possible with just 1% aluminium oxide additions. In order to better understand the association between wear factors such as sliding distance, sliding speed and applied load, we looked at the wear rate and friction coefficient. According to the Taguchi L9 orthogonal array, we conducted the trials. In each experiment, the rate of wear as well as the coefficient of friction were measured. If you apply a force of 10 N, slide at 1 m/s for 1500 metres, the Taguchi GRA concluded that this was the best combination for your experiment. There is a 61 percent correlation between the sliding velocity and composite wear. After all was said and done, the most well-worn surface was found to have the fewest scratches and fine grooves

Keywords: Tribology, Optimization, Aluminium oxide, Taguchi grey relational analysis