Multiple Response Optimizations in Drilling Using Taguchi and Grey Relational Analysis

Abstract

Abstract: Composite materials are important engineering materials due to their outstanding mechanical properties. Metal matrix composite (MMCs) are one of the widely known composites because of their superior properties such as high strength, hardness, stiffness, and corrosion resistances. Al-TiBr2 produces higher tool wear, poor surface roughness and minimizes the metal removal rate. The quality of the material is influenced by the cutting conditions, tool material and geometry. The present work is focusing on multiple response optimization of drilling process for composite Al-TiBr2. The study provided to minimise the damage events occurring during drilling process for composite material. A statistical approach used to analyse experiment data. Taguchi method with grey relational analysis was used to optimize the machining parameters with multiple performance characteristics in drilling of MMC Al-TiBr2. The results shows that the maximum feed rate, low spindle speed are the most significant factors which affect the drilling process and the performance in the drilling process can be effectively improved by using this approach.