OBRABOTKAMETALLOV Vol. 28 No. 1 2026 59 TECHNOLOGY 8. Investigation on deviation of the hole diameter in helical milling / C. Yan, R. Kang, X. Gu, Y. Bao, Z. Dong, G. Yang // Journal of Manufacturing Processes. – 2024. – Vol. 125. – P. 604–614. – DOI: 10.1016/j. jmapro.2024.07.059. 9. Brinksmeier E., Fangmann S., Meyer I. Orbital drilling kinematics // Production Engineering. – 2008. – Vol. 2. – P. 277–283. – DOI: 10.1007/s11740-0080111-7. 10. Hole diameter variation and roundness in dry orbital drilling of CFRP/Ti stacks / L. Zhou, Y. Ke, H. Dong, Z. Chen, K. Gao // The International Journal of Advanced Manufacturing Technology. – 2016. – Vol. 87. – P. 811– 824. – DOI: 10.1007/s00170-016-8528-1. 11. Liu C., Wang G., Dargusch M.S. Modelling, simulation and experimental investigation of cutting forces during helical milling operations // The International Journal of Advanced Manufacturing Technology. – 2012. – Vol. 63. – P. 839–850. – DOI: 10.1007/s00170012-3951-4. 12. Study on the removal mechanism and milling quality of helical milling hole of SiCp/Al composites / Y. Zhou, J. Liu, S. Wang, H. Chen, D. Li, L. Ma, M. Li // Journal of Manufacturing Processes. – 2024. –Vol. 109. – P. 379–393. – DOI: 10.1016/j.jmapro.2023.12.041. 13. Ozturk O.M., Kilic Z.M., Altintas Y. Mechanics and dynamics of orbital drilling operations // International Journal of Machine Tools and Manufacture. – 2018. – Vol. 129. – P. 37–47. – DOI: 10.1016/j. ijmachtools.2018.03.001. 14. Modeling and analyses of helical milling process / Y. Tian, Y. Liu, F. Wang, X. Jing, D. Zhang, X. Liu // The International Journal of Advanced Manufacturing Technology. – 2017. – Vol. 90. – P. 1003– 1022. – DOI: 10.1007/s00170-016-9418-2. 15. Li Z., Liu Q. Surface topography and roughness in hole-making by helical milling // The International Journal of Advanced Manufacturing Technology. – 2013. – Vol. 66. – P. 1415–1425. – DOI: 10.1007/s00170-0124419-2. 16. Stelmakov V.A., Gimadeev M.R., Iakuba D.D. Research on the process of forming cylindrical surfaces of holes during milling fi nish with end mills using a circular interpolation strategy // Proceedings the 6th International Conference on Industrial Engineering (ICIE 2020). Vol. 2. – Cham: Springer, 2021. – P. 917– 925. – (Lecture Notes in Mechanical Engineering.). – DOI: 10.1007/978-3-030-54817-9_106. 17. A new dynamic boring force calculation method using the analytical model of time-varying toolpath and chip fracture / W. Du, L. Wang, D. Peng, Y. Shao, C.K. Mechefske // Journal of Materials Processing Technology. – 2022. – Vol. 306. – P. 117642. – DOI: 10.1016/j. jmatprotec.2022.117642. 18. State-of-art, challenges, and outlook on deep hole boring: chatter suppression, tool wear monitoring, and error measurement / J. Sun, C. Sun, Z. Yan, W. Yang, C. Zhou, P. Zhang, L. Shu // The International Journal of Advanced Manufacturing Technology. – 2025. – Vol. 136. – P. 2075–2105. – DOI: 10.1007/s00170-02515007-x. 19. DuW., Wang L., Shao Y.Asemi-analytical dynamics method for spindle radial throw in boring process // Journal of Manufacturing Processes. – 2023. – Vol. 96. – P. 110–124. – DOI: 10.1016/j.jmapro.2023.04.047. 20. Model-based error motion prediction and fi t clearance optimization for machine tool spindles / H. Cao, B. Li, Y. Li, T. Kang, X. Chen // Mechanical Systems and Signal Processing. – 2019. – Vol. 133. – P. 106252. – DOI: 10.1016/j.ymssp.2019.106252. 21. A novel multi-probe method for separating spindle radial error from artifact roundness error / Y. Chen, X. Zhao, W. Gao, G. Hu, S. Zhang, D. Zhang // The International Journal of Advanced Manufacturing Technology. – 2017. – Vol. 93. – P. 623–634. – DOI: 10.1007/s00170-017-0533-5. 22. Bhattacharyya O., Kapoor S.G., DeVor R.E. Mechanistic model for the reaming process with emphasis on process faults // International Journal of Machine Tools and Manufacture. – 2006. – Vol. 46 (7–8). – P. 836–846. – DOI: 10.1016/j.ijmachtools.2005.07.022. 23. Analysis of the surface roughness, cutting eff orts, and form errors in bore reaming of hardened steel using a statistical approach / T.F.L. Melo, S.L.M.R. Filho, É.M. Arruda, L.C. Brandão // Measurement. – 2019. – Vol. 134. – P. 845–854. – DOI: 10.1016/j.measurement.2018.12.033. 24. The eff ects of process faults and misalignments on the cutting force system and hole quality in reaming / O. Bhattacharyya, M.B. Jun, S.G. Kapoor, R.E. DeVor // International Journal of Machine Tools and Manufacture. – 2006. – Vol. 46 (12–13). – P. 1281– 1290. – DOI: 10.1016/j.ijmachtools.2005.11.002. 25. Карпенко А.П., Семенихин А.С., Митина Е.В. Популяционные методы аппроксимации множества Парето в задаче многокритериальной оптимизации. Обзор // Машиностроение и компьютерные технологии. – 2012. – № 4. – С. 1–36. 26. Программные системы для оценки качества Парето-аппроксимации в задаче многокритериальной оптимизации. Обзор / В.В. Белоус, С.В. Грошев, А.П. Карпенко, И.А. Шибитов // Машиностроение и компьютерные технологии . – 2014. – № 4. – С. 300–320. 27. A study on multi-objective optimization in noncircular helical pocket milling of AI 6061-T6 using integrated approach response surface method (RSM) with genetic algorithm (GA) / T. Khan, G. Kiswanto,
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