Isik, BirhanGultekin, Mehmet SahFidan, IsmailJun, Martin Byung-Guk2024-12-242024-12-2420242227-9717https://doi.org/10.3390/pr12071477https://hdl.handle.net/20.500.12604/8262This paper presents a unique approach to generate a number of cutting knowledge blocks for the surface roughness analysis of the drilling process for carbon-fiber-reinforced polymer composite (CFRP) materials. The influence of drilling on the surface quality of woven CFRP materials was investigated experimentally. The CFRP material (0/90 degrees fiber orientation) was drilled at different cutting parameters and the surface roughness of the hole was measured. A set of tests was 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. The Simulated Annealing (SA) and Genetic Algorithm (GA) methods were used for optimization. Based on the experimental findings and optimization techniques applied, optimal cutting parameters were derived, which were subsequently adjusted to enhance surface quality. Overall, the cutting parameters are carefully optimized to achieve good surface roughness quality in the drilling of CFRP.eninfo:eu-repo/semantics/openAccessCFRPdrillingsurface roughnesssimulated annealinggenetic algorithmArticle127N/AWOS:001277232900001Q22-s2.0-8519959956610.3390/pr12071477