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The paper focuses on the cutting behavior of Glass Fiber Reinforced Polymer (GFRP) composites and GNP–GFRP composites that contain varying amounts of Graphene Nano Platelets (GNP). GFRP composites are increasingly being used in a variety of industrial applications due to their excellent mechanical properties, such as high strength, stiffness, and low weight. However, their machining and cutting behavior can be challenging due to the presence of the reinforcing fibers. Therefore, the study aims to investigate the machining behavior of GFRP composites and the effect of adding GNP on their cutting behavior. The effect of different parameters such as cutting speed, feed rate and reinforcement rate on cutting forces and delamination factor is investigated. In addition, the tensile strength and fatigue behavior of the composite materials with the best and worst delamination factors were also determined. Addition of up to 0.2 wt.% of GNP to GFRP composites resulted in an increase in cutting forces and delamination factor when drilling GFRP composites. While the cutting force and delamination factor decreased with the increase in cutting speed, the cutting force and delamination factor increased with the increase in the feed rate. Analysis of variance (ANOVA) was performed to determine the effects of drilling parameters and reinforcement ratio on cutting force and delamination factor according to full factorial experimental design. The most efficient factor on the cutting forces is found to be feed rate (84.97%), followed by the reinforced rate (6.48%) and cutting speed (6.13%). The most efficient factor on the delamination factor is determined to be feed rate for (44.49%), followed by the reinforced rate (29.20%) and cutting speed (21.73%). [ABSTRACT FROM AUTHOR]

In the drilling process, the angle of surface is one of the parameters that affect hole quality. In study, the effects of feed rate, spindle speed and surface angle on the thrust force, roughness, and delamination, which are the factors affecting the quality of hole, were investigated in the drilling of GFRP (glass fiber reinforced polymer) and CFRP (carbon fiber reinforced polymer) with freeform surfaces. With ANOVA (Analysis of Variance) and regression analysis, the parameter effects were statistically compared, and descriptive mathematical models were derived. The mathematical models were subjected to the Genetic Algorithm approach according to the different surface angles determined and the optimum parameter values were calculated. Guiding data were obtained about the effects of machining on hole quality in drilling composite at different surface angles, which is the main motivation of the study. Optimization results will improve hole quality on curved surfaces, while saving cost and time. [ABSTRACT FROM AUTHOR]