The process parameters can be improved by using Taugchi’s method which is a statistical method of optimization and it also improves the product quality that is manufactured. The main aim of the current research is to apply Taughci method of optimization and ANOVA in the optimization of dry sliding wear process parameters of Al6061- 4%B 4 C & 4% Cu based composite. In current analysis three factors mainly selected for wear optimization and they are loads, sliding speed, sliding distance and effect of these parameters are studies and the optimum value of each factor is find out by using the method of optimization. To study the wear behavior of composite orthogonal array ( L 9 ), Signal to noise ratio analysis of variance is used. The experiment is carried out by using suitable orthogonal array ( L 9 ). Experiments are performed on the pin on disc machine according to the selected orthogonal array. The optimum value of the parameters obtained graphically and confirmation of experiments are carried out. Smaller is the better approach used for selection of optimum parameters. Finally scanning of wearied surfaces under Scanning Electron Microscope and shows the uniform distribution of metal matrix in AMCs.