For industrial applications, the ceramics composites are machined in large scale using end milling. Due the abrasive reinforcement particle, the failure in tool life and surface quality are possible. This research work focuses on developing the mathematical models of cutting force (FR), Metal Removal Rate (MRR) and surface roughness (Ra) and to optimize it. The Response Surface Methodology (RSM) with L31 empirical model was used for conducting the basic trails on Al/SiC composites of various compositions. The XRD, EDS, Optical microscopic images of Al/SiC composites were analysed and the SEM morphology of the machined samples were studied. The models developed for predicting responses were tested by analysis of variance (ANOVA) to evaluate its adequacy. The optimal machining configuration was identified which yields 0.5%, 14% and 4% of MRR, Ra and FR respectively compared with experimental results.