OBRABOTKAMETALLOV MATERIAL SCIENCE Том 23 № 3 2021 EQUIPMEN . INSTRUM TS Vol. 7 No. 1 2025 17. Lapshin V.P. Turning tool wear estimation based on the calculated parameter values of the thermodynamic subsystem of the cutting system. Materials, 2021, vol. 21 (14), p. 6492. DOI: 10.3390/ma14216492. 18. Lapshin V., Turkin I., Dudinov I. Research on influence of tool deformation in the direction of cutting and feeding on the stabilization of vibration activity during metal processing using metal-cutting machines. Sensors, 2023, vol. 17 (23), p. 7482. DOI: 10.3390/s23177482. 19. Huang J., Chen G., Wei H., Chen Zh., Lv Y. Sensor-based intelligent tool online monitoring technology: applications and progress. Measurement Science and Technology, 2024, vol. 35 (11), p. 112001. DOI: 10.1088/13616501/ad66f1. 20. Lapshin V.P., Moiseev D.V. Opredelenie optimal’nogo rezhima obrabotki metallov pri analize dinamiki sistem upravleniya rezaniem [Determination of the optimal metal processing mode when analyzing the dynamics of cutting control systems]. Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science, 2023, vol. 25, no. 1, pp. 16–43. DOI: 10.17212/1994-6309-2023-25.1-16-43. Conflicts of Interest The authors declare no conflict of interest. 2025 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