OBRABOTKAMETALLOV Vol. 28 No. 1 2026 61 TECHNOLOGY References 1. Davydov V.M., Kabaldin Yu.G. Kontseptual’noe proektirovanie mekhatronnykh modulei mekhanoobrabotki [Conceptual design of mechatronic machining modules]. Vladivostok, Dal’nauka Publ., 2003. 251 p. 2. Kabaldin Yu.G., Oleinikov A.I., Shpilev A.M., Burkov A.A. Matematicheskoe modelirovanie samoorganizuyushchikhsya protsessov v tekhnologicheskikh sistemakh obrabotki rezaniem [Mathematical modeling of self-organizing processes in technological systems of cutting processing]. Vladivostok, Dal’nauka Publ., 2000. 195 p. 3. Sergeev A.S., Plotnikov A.L. Upravlenie kachestvom mekhanoobrabotki sbornym mnogolezviinym tverdosplavnym instrumentom na frezernykh stankakh s ChPU [Machining quality management by assembled multiblade tool on the CNC milling machines]. Vestnik UGATU, 2012, no. 4 (49), pp. 138–143. Selection of a fi nishing hole processing method for multi-product manufacturing based on solving a multi-objective optimization problem Vadim Stelmakov a, *, Mikhail Gimadeev b Pacifi c National University, 136 Tihookeanskaya St., Khabarovsk, 680035, Russian Federation a https://orcid.org/0000-0003-2763-1956, 009062@togudv.ru; b https://orcid.org/0000-0001-6685-519X, 009063@togudv.ru Obrabotka metallov - Metal Working and Material Science Journal homepage: http://journals.nstu.ru/obrabotka_metallov Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science. 2026 vol. 28 no. 1 pp. 46–63 ISSN: 1994-6309 (print) / 2541-819X (online) DOI: 10.17212/1994-6309-2026-28.1-46-63 ART I CLE I NFO Article history: Received: 26 November 2025 Revised: 12 December 2025 Accepted: 27 December 2025 Available online: 15 March 2026 Keywords: Form accuracy Optimization Genetic algorithm Pareto front Finishing Funding This work has funded by the Ministry of Science and Higher Education of Russian Federation (Project № FEME–2024–0010). ABSTRACT Introduction. In modern mechanical engineering, particularly in multi-product manufacturing, the development of hole machining processes remains a signifi cant challenge. High requirements for form accuracy, hole axis alignment, and surface roughness necessitate the use of various fi nishing methods, such as boring and reaming. Furthermore, based on current research in hole machining, another promising method is emerging — milling employing diff erent strategies. Each of these methods has unique advantages and limitations concerning achievable accuracy, productivity, and cost-eff ectiveness. In an environment of heightened competition and the need for rapid adaptation to market changes, manufacturers face the imperative to optimize their technological processes. This is especially critical for hole machining operations, which constitute a signifi cant portion of the total manufacturing complexity of components. Subject. This paper investigates an approach to selecting the optimal hole fi nishing method – boring, reaming, or milling with circular/helical interpolation – based on solving a multi-objective optimization problem. Special emphasis is placed on analyzing the infl uence of the number of holes being machined on the optimization results. The purpose of this work is to develop an approach for selecting a hole fi nishing method based on achievable form accuracy, cost, and productivity, through solving a structural optimization problem adapted to the conditions of multi-product manufacturing. Methodology. The approach is based on the application of mathematical statistics to construct regression models, establishing the infl uence of machining parameters on deviations from roundness and cylindricity for each fi nishing method under investigation. A genetic algorithm (GA) is employed to identify the Pareto-optimal solution set, and the “ideal point” method is used to select the fi nal option. Results and discussion. Solving the optimization problem revealed that for batches containing 1 to 30 high-precision holes, milling with helical interpolation is the optimal method, whereas boring becomes optimal for batches of 40 or more holes. Recommendations regarding the selection of machining parameters for each optimal method were derived. The developed approach enables a substantiated selection of the processing method during the technological preparation stage, thereby reducing process planning complexity and enhancing economic effi ciency. For citation: Stelmakov V.A., Gimadeev M.R. Selection of a fi nishing hole processing method for multi-product manufacturing based on solving a multi-objective optimization problem. Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science, 2026, vol. 28, no. 1, pp. 46–63. DOI: 10.17212/1994-6309-2026-28.1-46-63. (In Russian). ______ * Corresponding author Stelmakov Vadim A., Ph.D. (Engineering), Associate Professor Pacifi c National University, 136 Tihookeanskaya st. 680035, Khabarovsk, Russian Federation Tel.: +7 962 221-74-60, e-mail: 009062@togudv.ru
RkJQdWJsaXNoZXIy MTk0ODM1