Optimization of Drilling Characteristics using Grey-Fuzzy logic in Glass Fiber Reinforced Polymer (GFRP)

Now-a-days drilling became one of the most important machining processes used for joining of Glass Fiber Reinforced Polymer (GFRP) composite. Machining of composite need great attention due to phenomena like delamination and cutting edge failure. In present work, optimization of process parameters in drilling of GFRP was conducted by using grey relational analysis linked with fuzzy logic system. Drilling experiment designed on the basis of L27(3(13)) orthogonal array with cutting speed, feed rate and drill diameter as input parameters with multiple characteristic of Delamination factor(DF) and Surface Roughness (Ra and Rz) as response. Grey-fuzzy logic combination is used to determine the grey -fuzzy reasoning grade to find out the optimum combination of process parameters. ANOVA results indicate that feed rate is the most significant parameter which affect the multiple performance of Delamination Factor (DF) and surface Roughness (Ra and Rz). The optimum process parameter combinations are evaluated by conducting conformation test. (C) 2017 Elsevier Ltd. All rights reserved.