OBRABOTKAMETALLOV Vol. 28 No. 1 2026 45 TECHNOLOGY 19. Lee Y.J., Yoon H.-S. Modeling of cutting tool life with power consumption using Taylor’s equation. Journal of Mechanical Science and Technology, 2023, vol. 37 (6), pp. 3077–3085. DOI: 10.1007/s12206-023-0531-5. 20. Zhang X., Peng Z., Liu L., Zhang X. A tool life prediction model based on Taylor’s equation for high-speed ultrasonic vibration cutting Ti and Ni alloys. Coatings, 2022, vol. 12, p. 1553. DOI: 10.3390/coatings12101553. 21. Pol’shin A.A. Razrabotka tekhnologii izgotovleniya metall-kompozitnykh korpusov sbornykh sverl v usloviyakh importozameshcheniya [Development of technology for manufacturing metal-composite bodies of prefabricated drills in the conditions of import substitution]. Transportnoe mashinostroenie = Transport Engineering, 2025, no. 10 (46), pp. 27–35. DOI: 10.30987/2782-5957-2025-10-27-35. 22. Oxley P.L. The mechanics of machining: An analytical approach to assessing machinability. Sydney, Halsted Press Publ., 1989. 242 p. 23. Komanduri R., Hou Z.B. Thermal modeling of the metal cutting process: Part I – Temperature rise distribution due to shear plane heat source. International Journal of Mechanical Sciences, 2000, vol. 42 (9), pp. 1715–1752. DOI: 10.1016/S0020-7403(99)00070-3. 24. Kalpakjian S., Schmid S. Proizvodstvennaya inzheneriya i tekhnologii (SI-edinitsy) [Manufacturing engineering and technology (SI Units)]. Moscow, Logos Publ., 2022. 1360 p. 25. Tungaloy Corporation. A new generation of PVD grade for stainless steel turning: AH6225. Available at: https://tungaloy.com/wpdata/wp-content/uploads/540-u_AH6225.pdf (accessed 14.01.2026). 26. Tungaloy Corporation. Latest grade series for stainless steel turning with AH6200. Available at: https:// tungaloy-rus.ru/upload/iblock/ae2/ae25807696423260679c5e78743e3f79.pdf (accessed 14.01.2026). 27. Grechishnikov V.A., Tarasov A.V., Ganshin V.K., Zhivodrov O.G. Razrabotka metodiki diagnostirovaniya sostoyaniya rezhushchego instrumenta v rezhime real’nogo vremeni pri sverlenii otverstii v khrupkikh materialakh [Development of methods of diagnosis state of cutting tool real-time in drilling brittle materials]. Sovremennye materialy, tekhnika i tekhnologii = Modern Materials, Equipment and Technology, 2016, no. 4 (7), pp. 45–51. 28. Borovkov A.I., Vafaeva K.M., Vatin N.I., Ponyaeva I. Synergistic integration of digital twins and neural networks for advancing optimization in the construction industry: A comprehensive review. Construction Materials and Products, 2024, vol. 7 (4). DOI: 10.58224/2618-7183-2024-7-4-7. 29. Virtanen P., Gommers R., Oliphant T.E. SciPy 1.0: Fundamental algorithms for scientifi c computing in Python. Nature Methods, 2020, vol. 17, p. 1–12. DOI: 10.1038/s41592-019-0686-2. Confl icts of Interest The authors declare no confl ict of interest. © 2026 The Authors. Published by Novosibirsk State Technical University. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0).
RkJQdWJsaXNoZXIy MTk0ODM1