Obrabotka Metallov 2026 Vol. 28 No. 2

OBRABOTKAMETALLOV Vol. 28 No. 2 2026 118 TECHNOLOGY procedures for parts with high-precision surfaces on CNC machines]. Naukoemkie tekhnologii v mashinostroenii = Science Intensive Technologies in Mechanical Engineering, 2022, no. 11 (137), pp. 32–38. DOI: 10.30987/22234608-2022-11-32-38. 23. Khusainov R.M., Ziangirova E.R., Lozinsky V.V. Modelirovanie pokazateley tochnosti tekhnologicheskoy sistemy obrabotki rezaniem [Modeling of accuracy indicators of the technological cutting system]. Metalloobrabotka = Metalworking, 2020, no. 3 (117), pp. 11–18. 24. Akintseva A.V., Pereverzev P.P. Model’ rascheta tekushchego znacheniya glubiny rezaniya v avtomaticheskom stupenchatom tsikle programmnoi podachi na operatsii ploskogo shlifovaniya s ChPU [Model of calculating the current value of the cutting depth in an automatic stepwise cycle of the programmed feed on a CNC-controlled fl at grinding operation]. Vestnik Magnitogorskogo gosudarstvennogo tekhnicheskogo universiteta im. G.I. Nosova = Vestnik of Nosov Magnitogorsk State Technical University, 2022, vol. 20, no. 3, pp. 103–110. DOI: 10.18503/1995-2732-2022-20-3-103-110. 25. Brecher C., Manoharan D., Ladra U., Köpken H.-G. Chatter suppression with an active workpiece holder. Production Engineering, 2010, vol. 4 (2), pp. 239–245. DOI: 10.1007/s11740-009-0204-y. 26. Teti R., Jemielniak K., O’Donnell G., Dornfeld D. Advanced monitoring of machining operations. CIRP Annals, 2010, vol. 59 (2), pp. 717–739. DOI: 10.1016/j.cirp.2010.05.010. 27. Matsubara A., Ibaraki S. Monitoring and control of cutting forces in machining processes: A review. International Journal of Automation Technology, 2009, vol. 3 (4), pp. 445–456. DOI: 10.20965/ijat.2009.p0445. 28. Stavropoulos P., Soufl as T., Papaioannou C., Bikas H., Mourtzis D. An adaptive, artifi cial intelligence-based chatter detection method for milling operations. The International Journal of Advanced Manufacturing Technology, 2023, vol. 124, pp. 2037–2058. DOI: 10.1007/s00170-022-09920-8. 29. DenchikA.I., KasenovA.Zh., GalinovskyA.L., Musina Zh.K., Abishev K.K., TkachukA.A. Struktura modeli imitatsionnogo modelirovaniya veroyatnostnogo protsessa formirovaniya tochnosti ispolnitel’nogo razmera [The structure of the simulation model of the probabilistic process of forming the accuracy of the required dimensions]. Izvestiya vysshikh uchebnykh zavedenii. Mashinostroenie = BMSTU Journal of Mechanical Engineering, 2022, no. 6 (747), pp. 36–44. 30. Ermakov S.P., Pompeev K.P. Metodika issledovaniya vozmozhnosti avtomaticheskogo obespecheniya tochnosti tekhnologicheskikh protsessov izgotovleniya detalei [Methodology for investigating the possibility of automatically ensuring the accuracy of technological processes of parts manufacturing]. Izvestiya vysshikh uchebnykh zavedenii. Priborostroenie = Journal of Instrument Engineering, 2025, vol. 68, no. 2, pp. 176–183. DOI: 10.17586/0021-3454-2025-68-2-176-183. 31. Zhang H., Li Y., Xue D., Tong X., Gao B., Yu J. Digital twin technology facilitates precision improvement in complex product assembly: A progressive deduction method of data-driven tolerance allocation. Advanced Engineering Informatics, 2024, vol. 62, p. 102790. DOI: 10.1016/j.aei.2024.102790. 32. Van Luttervelt C.A., Childs T.H.C., Jawahir I.S., Klocke F., Venuvinod P.K., Altintas Y., Armarego E., Dornfeld D., Grabec I., Leopold J., Lindstrom B., Lucca D., Obikawa T., Shirakashi, Sato H. Present situation and future trends in modelling of machining operations. CIRP Annals, 1998, vol. 47 (2), pp. 587–626. DOI: 10.1016/ S0007-8506(07)63244-1. 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