Investigation to Minimize Wear Rate and Coefficient of Friction in Al6063-Sic-Al2o3 Hybrid Metal Matrix Composites Using Taguchi and Anova Techniques

The present study focuses on the development and tribological [1][2][3] evaluation of Al6063T6-based hybrid metal matrix composites [3][7] (HMMCs) made strong by the coating of silicon carbide (SiC) and aluminum oxide (Al₂O₃) powder. In a crucible furnace, the metal powder is mixed when the temperature is raised. The mixing is done by the stir casting method. The experiment is done by a pin-on-disc machine with various load sliding distances and sliding speeds, and it takes out the readings on wear rate and coefficient of friction. Taguchi’s [1][4][11] L9 orthogonal array was employed to optimize experimental trials, while ANOVA[4][11] linear model analysis was applied to determine the significance of control factors. Results indicated that the applied load had the most significant impact on wear rate and coefficient of friction. The multiple regression models[1][4][6] developed using MINITAB 22 software provided predictive insights into the wear performance of the composites. This demonstrates the material’s suitability for high-temperature wear applications.