The wear behaviour of Al6351 reinforced with 2-8 percent Silicon Carbide (SiC) and 2-8 per-cent Graphite (Gr) hybrid composite during dry sliding conditions was evaluated using the Taguchi technique with regression analysis. Taguchi with regression analysis can be used to seek the best parameters for hybrid aluminium composites. Wear experiments were conduct-
ed using a L9 orthogonal array with the following parameters such as sliding velocity, sliding distance and applied load. The ANOVA (analysis of variance) methodology can be used to determine the impact of each factor. The findings of the investigation revealed that the slid-ing velocity and load are the two most important factors that determine wear. The extensive experiments are closer to the ANOVA expected values. The Taguchi approach was quite suc-cessful in optimising wear parameters, according to confirmation test findings. The influence of each parameter can be identified by ANOVA (Analysis of variance) technique. For Wear the parameter Applied load (L) makes the major support the entire sum of squares 49.57% while sliding speed (S) 37.48% and sliding distance (D) contributes only 0.4% and the factor Applied load (L) 92.29% makes the biggest contribution in frictional force according to ANOVA.