OBRABOTKAMETALLOV MATERIAL SCIENCE Том 23 № 3 2021 EQUIPMEN . INSTRUM TS Vol. 6 No. 3 2024 does not limit the possibilities of application of the regularities revealed in the paper for construction of systems of diagnostics of tool condition. To use this method for machining on CNC machines, it is additionally necessary to provide information exchange between the CNC program and the diagnostics system, since the frequency properties depend not only on wear, but also on the modes changed by the CNC program. Conclusion The aim formulated after analyzing the methods of vibroacoustic diagnostics of the cutting process has been achieved. The paper outlines theoretical provisions, mathematical models and studies aimed at elucidating the changes in the frequency characteristics of tool vibrations depending on its wear. It is shown that the frequency properties of vibration sequences measured in the cutting process change as wear develops. The research allowed us to identify two systems of indicators. The first system considers the frequency properties in the region including the bandwidth of subsystems interacting through cutting. In this system, the development of wear takes into account its influence on the main parameters of the dynamic coupling formed by cutting and, consequently, causes changes in the frequency properties of the signal. The second considers the vibrational response of the system to a power emission signal represented by a random pulse sequence. A phenomenological model of force emission accompanying cutting in the high-frequency region outside the bandwidth of interacting subsystems is presented. It is represented as a random pulse sequence, the distribution parameters of which depend on wear. The development of wear causes an increase in the emission intensity, broadening of the spectral line of this signal, etc. The development of wear causes changes in the parameters of the dynamic coupling formed by cutting, which causes shifts in the resonance frequencies of subsystems, a decrease in its goodness, the development of non-stationarity of spectra. The revealed features of changes in the frequency properties of the VAE signal as the wear develops allows building a system of information attributes in the frequency space, which, together with the rules of clustering the information space into classes on the basis of wear, allows building an information model of wear. The given example has shown the applied efficiency of the developed methods and the given mathematical toolkit on the basis of the created and implemented in the industry system of wear diagnostics. References 1. Ostaf’ev V.A., Antonyuk V.S., Tymchik G.S. Diagnostika protsessa metalloobrabotki [Diagnostics of the metalworking process]. Kiev, Tekhnika Publ., 1991. 152 p. 2. Zakovorotny V.L., Bordachev E.V.,AlekseychikM.I. Dinamicheskii monitoring sostoyaniya protsessa rezaniya [Dynamic monitoring of the state of the cutting process]. STIN, 1998, no. 12, pp. 6–13. (In Russian). 3. Zakovorotny V., Gvindjiliya V., Process control synergetics for metal-cutting machines. Journal of Vibroengineering, 2022, vol. 24 (1), pp. 177–189. DOI: 10.21595/jve.2021.22087. 4. Astakhov V.P. The assessment of cutting tool wear. International Journal of Machine Tools and Manufacture, 2004, vol. 44, pp. 637–647. DOI: 10.1016/ j.ijmachtools.2003.11.006. 5. Konrad H., Isermann R., Oette H.U. Supervision of tool wear and surface quality during end milling operations. IFAC Proceedings Volumes, 1994, vol. 27 (4), pp. 507–513. DOI: 10.1016/S1474-6670(17)46074-5. 6. Zakovorotny V.L., Ladnik I.V. Postroenie informatsionnoi modeli dinamicheskoi sistemy metallorezhushchego stanka dlya diagnostiki protsessa obrabotki [Construction of an information model of the dynamic system of a metalcutting machine for diagnostics of the machining process]. Problemy mashinostroeniya i nadezhnosti mashin = Journal of Machinery Manufacture and Reliability, 1991, no. 4, pp. 75–79. (In Russian). 7. Byrne G., Dornfeld D., Inasaki I., Ketteler G., Konig W., Teti R. Tool condition monitoring (TCM) – the status of research and industrial application. CIRP Annals, 1995, vol. 44 (2), pp. 541–567. DOI: 10.1016/S00078506(07)60503-4. 8. Teti R. Advanced IT methods of signal processing and decision making for zero defect manufacturing in machining. Procedia CIRP, 2015, vol. 28, pp. 3–15. DOI: 10.1016/ j.procir.2015.04.003.
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