naa a22 4500 510823491 CHVBK 20180411083545.0 cr unu---uuuuu 180411e20131001xx s 000 0 eng 10.1007/s12541-013-0245-1 doi (NATIONALLICENCE)springer-10.1007/s12541-013-0245-1 Modeling and multi-constrained optimization in drilling process of carbon fiber reinforced epoxy composite [Elektronische Daten] [Hamzeh Shahrajabian, Masoud Farahnakian] The goal of this study is to present a methodology for the determination of the optimal cutting parameters (spindle speed, feed rate and tool point angle) during the drilling process of carbon fiber reinforced polymer composites (CFRP) to maximize the material removal rate by considering surface roughness, delamination and thrust force as the constraints through coupling Response Surface Method (RSM) and Genetic Algorithm (GA). In this regard, the advantages of statistical experimental design technique, experimental measurements, Response Surface Method (RSM) and the genetic optimization method are exploited in an integrated manner. To this end, the experiments on CFRP were conducted to obtain surface roughness, delamination factor and thrust force values based on the full factorial design of experiments, and then analysis of variance (ANOVA) is performed. The predictive models for outputs were created using Response Surface Method (RSM) taking advantage of the experimental data. Material removal rate constituted the main function for the genetic algorithm, and thrust force, delamination, and surface roughness were applied as the constraints of the GA function. The function was optimized by the GA code, and finally, the optimum variables were obtained, and the results of the GA were tested experimentally. It can be clearly observed that good agreement exists between the predicted values and the experimental measurements. Korean Society for Precision Engineering and Springer-Verlag Berlin Heidelberg, 2013 Constrained optimization nationallicence Drilling nationallicence Response surface modeling nationallicence Genetic algorithm nationallicence MRR : Material Removal Rate nationallicence FD : Delamination Factor nationallicence TF : Thrust Force nationallicence Shahrajabian Hamzeh Department of mechanical engineering, Islamic Azad University, Najafabad branch, Najafabad, Iran aut Farahnakian Masoud Department of mechanical engineering, Islamic Azad University, Najafabad branch, Najafabad, Iran aut International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/10(2013-10-01), 1829-1837 2234-7593 14:10<1829 2013 14 12541 https://doi.org/10.1007/s12541-013-0245-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s12541-013-0245-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shahrajabian Hamzeh Department of mechanical engineering, Islamic Azad University, Najafabad branch, Najafabad, Iran aut NATIONALLICENCE 700 1- Farahnakian Masoud Department of mechanical engineering, Islamic Azad University, Najafabad branch, Najafabad, Iran aut NATIONALLICENCE 773 0- International Journal of Precision Engineering and Manufacturing Springer Berlin Heidelberg 14/10(2013-10-01), 1829-1837 2234-7593 14:10<1829 2013 14 12541 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer