Multiple performance optimization in drilling of GFRP composites using grey analysis

Glass fibre-reinforced polymer (GFRP) composites are alternative to engineering materials because of economic, light weight, corrosive resistance and superior properties. The experimental research under taken by the scholars is a study of impact of multiple performance optimizations in drilling of GFRP using grey analysis. The influence of drilling parameters on surface quality of GFRP plastic composite material, delamination, thrust force and torque was investigated experimentally. Drilling tests were carried out using WC drills of 12 mm in diameter at 600, 900, 1200 and 1500 rpm spindle speeds and at 0.04, 0.08, 0.12 and 0.16 mm/rev feed rates. The significant process parameters have been determined by using ANOVA. Optimum level of drilling parameter have identified by using the values of grey relational grade derived from grey analysis. The analysis of grey relational grade shows that feed rate is the influential parameter than spindle speed.