OPTIMISING DRILLING PARAMETERS OF GFRP BY USING GREY RELATIONAL ANALYSIS

Abstract

Glass fiber reinforced polymer (GFRP) composite constitutes the current trends in the composite technology and machining of these materials make a challenging task. Drilling of GRPF can cause many problems if not optimized. In this study, composite undergo drilling and L27 orthogonal array is used for determining delamination and surface roughness. Relationships are developed between parameters. In drilling, spindle speed, tool point angle and feed rate are combined to know the optimal parameters. Grey Relational Analysis was performed to observe the effect of parameters and its interaction. Experiment results reveal that spindle speed is the most significant factor while point angle contributes to the least.