Process parameters optimization on machining force and delamination factor in milling of GFRP composites using grey relational analysis

In this study, the optimization of process parameters for milling of glass fiber reinforced polymer (GFRP) composites using grey relational analysis has been investigated. Experiments are conducted using helix angle, spindle speed, feed rate, depth of cut and fiber orientation angle as typical process parameters. The grey relational analysis (GRA) is adopted to obtain grey relational grade for milling process with multiple characteristics namely machining force and delamination factor. Analysis of variance (ANOVA) is performed to get the contribution of each parameter on the performance characteristics and it is observed that fiber orientation angle and feed rate are the most significant process parameters that affect the milling of GFRP composites. The experimental results reveal that, the helix angle of 25, spindle speed of 3000 rpm, feed rate of 500 mm/min, depth of cut of 1 mm and fiber orientation angle of 15 is the optimum combination for lower machining force and lower delamination factor. The experimental results for the optimal setting show that there is considerable improvement in the process.