Obtaining Optimum Cutting Parameters of Carbon Fiber Reinforced Polymer Composite (CFRP) Material by Using GA and SA Methods during Drilling

Abstract

Abstract This paper presented a new comprehensive approach to select cutting parameters for surface roughness in drilling of carbonfiber reinforced polymer composite (CFRP) material. The influence of drilling on surface quality of woven CFRP materials was investigated experimentally. The CFRP material (0/90° fiber orientation) was drilled at different cutting parameters and the surface roughness of the hole was measured. Drilling tests were carried out using carbide drills of 8 mm in diameter at 50, 70, and 90 m/min cutting speeds; 2, 3 and 4 flute numbers and 0.2, 0.3, and 0.4 mm/rev feed rates. Simulated Annealing (SA) and Genetic Algorithm (GA) methods were used for optimization. According to the results of the experimental study and optimization technique, optimum cutting parameters were obtained and started to be changed in order to have the best surface quality.