bd94f9cb-e5fc-4418-89e1-e38483253a1e20250905085455890naun:naunmdt@crossref.orgMDT DepositInternational Journal of Mechanics1998-444810.46300/9104http://www.naun.org/cms.action?id=2828415202541520251910.46300/9104.2025.19https://npublications.com/journals/mechanics/2025.phpDinh VanThanhEast Asia University of Technology, Trinh Van Bo Street, Hanoi City 12000, VietnamVu TrungTuyenNational Research Institute of Mechanical Engineering, 04 Pham Van Dong, Ha Noi City 11355, VietnamNguyen Thi QuocDungThai Nguyen University of Technology, 3/2 Street, Tich Luong Ward, Thai Nguyen City 251750, VietnamVu DucBinhViet Tri University of Industry, 09 Tien Son Street, Viet Tri City 35100, VietnamLe Thi PhuongThaoThai Nguyen University of Technology, 3/2 Street, Tich Luong Ward, Thai Nguyen City 251750, VietnamThis paper reports the findings of a study aimed at optimizing the electrical discharge machining (EDM) process for cylindrical surface parts composed of 90CrSi using graphite electrodes. This study's innovation is in determining the best EDM parameters for cutting cylindrical surfaces using three types of graphite electrodes: HK0, HK15, and HK20. Prior studies on EDM with graphite electrodes have exclusively focused on the machining of hollow, concave components, including die cavities, molds, or holes. In this work, three multi-criteria decision-making (MCDM) methods have been used for accomplishing this: Multi-Attributive Border Approximation Area Comparison (MABAC), MultiObjective Optimization on the Basis of Ratio Analysis (MOORA), and Multi-Attributive Ideal-Real Comparative Analysis (MAIRCA). Furthermore, the Entropy method was employed to figure out the weight of evaluation criteria. The research focused on three principal targets: surface roughness (SR), electrode wear rate (EWR), and material removal rate (MRR). Additionally, five process variables have been investigated: servo voltage (SV), pulse current (IP), pulse-on duration (Ton), pulse-off duration (Toff), and type of graphite (TOG). The Taguchi technique employing an L18 (61 + 34 ) experimental design, in conjunction with Minitab R19 software, was implemented for experimental planning and result analysis. The results successfully handled the MCDM issue and suggested best input settings for the EDM process, enhancing machining performance for cylindrical surfaces using graphite electrodes.95202595202520294https://npublications.com/journals/mechanics/2025/a082003-004(2025).pdf10.46300/9104.2025.19.4https://npublications.com/journals/mechanics/2025/a082003-004(2025).pdf10.1007/978-981-19-7150-1_3Jaiswal, S., Prajina, N.V., Kuriachen, B., and Mathew, J., Effect of peak current and pulse-on time on MRR and EWR in EDM of Ti-6Al-4 V, in Advances in Modern Machining Processes: Proceedings of AIMTDR 2021. 2022, Springer. p. 29-38. 10.1007/s42452-019-1877-2Agarwal, N., N. Shrivastava, and M. Pradhan, Optimization of relative wear ratio during EDM of titanium alloy using advanced techniques. SN Applied Sciences, 2020. 2(1): p. 99. 10.1016/j.jmatprotec.2007.03.008Kiyak, M. and O. Çakır, Examination of machining parameters on surface roughness in EDM of tool steel. 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Khaleel, Optimal Airport Selection for Iraq's Infrastructure Development: A TOPSIS Analysis. Engineering, Technology & Applied Science Research, 2024. 14(4): p. 15570-15574. 10.48084/etasr.7551Tran, H.-D., Dinh, V.-T., Vu, D.-B., Vu, D., Luu, A.-T., and Vu, N.-P., Application of the TOPSIS Method for Multi-Objective Optimization of a Two-Stage Helical Gearbox. Engineering, Technology & Applied Science Research, 2024. 14(4): p. 15454-15463. 10.1016/j.rser.2018.05.007Lee, H.-C. and C.-T. Chang, Comparative analysis of MCDM methods for ranking renewable energy sources in Taiwan. Renewable and sustainable energy reviews, 2018. 92: p. 883-896. 10.5937/tehnika1601129bBožanić, D.I., D.S. Pamučar, and S.M. Karović, Application the MABAC method in support of decisionmaking on the use of force in a defensive operation. Tehnika, 2016. 71(1): p. 129-136. 10.1007/s10479-013-1314-7Brauers, W.K.M., Multi-objective seaport planning by MOORA decision making. 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