Particulate reinforced Al-metal matrix composite (MMC) is one of the important composites among the metal matrix composites, which have SiC particles with aluminium matrix is harder than tungsten carbide (WC), which pose many problems in machining, the main being heavy tool abrasion and that machining precision and surface quality cannot be ensued. This paper introduces an ultrasonic vibration-assisted grinding (UVAG) metal matrix composites Al/SiC method. UVAG combines the functions of traditional grinding and ultrasonic machining (USM) with small-amplitude, high-frequency tool vibration to improve the fabrication process and machining efficiency. The removal rate of the metal matrix composites Al/SiC, tool wear, and machined surface morphology are investigated. In addition the grinding parameters have mutual influence, which can affect the results. Therefore, we adopt the Taguchi method for optimization of the process by conducting some related experiments. We study the signal to noise ratio (S/N ratio) of the observations to conduct analysis of variance (ANOVA), and to investigate the effect of each parameter on material removal rate (MRR), tool wear and surface roughness. From this research, we can understand the relationship between the grinding parameters and processing characteristics. Furthermore, we can also get the best combination of processing parameters and establish a stable machining process with high efficiency and high quality.