OBRABOTKAMETALLOV Vol. 23 No. 3 2021 MATERIAL SCIENCE EQUIPMENT. INSTRUMENTS 7 5 Information properties of vibroacoustic emission in diagnostic systems for cutting tool wear Vilor Zakovorotny a, Valery Gvindjiliya b, *, Kirill Kislov с Don State Technical University, 1 Gagarin square, Rostov-on-Don, 344000, Russian Federation a https://orcid.org/0000-0003-2187-9897, vzakovorotny@dstu.edu.ru; b https://orcid.org/0000-0003-1066-4604, vvgvindjiliya@donstu.ru; c https://orcid.org/0000-0002-5770-2519, kislovk@bk.ru Obrabotka metallov - Metal Working and Material Science Journal homepage: http://journals.nstu.ru/obrabotka_metallov Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science. 2025 vol. 27 no. 3 pp. 50–70 ISSN: 1994-6309 (print) / 2541-819X (online) DOI: 10.17212/1994-6309-2025-27.3-50-70 ART I CLE I NFO Article history: Received: 19 April 2025 Revised: 23 April 2025 Accepted: 05 June 2025 Available online: 15 September 2025 Keywords: Cutting tool condition diagnostics Vibrations Information models of dynamic monitoring ABSTRACT Introduction. This paper is devoted to the development of a methodology for diagnosing cutting tool wear based on the analysis of vibroacoustic emission signals. Two tasks are addressed. Firstly, the information feature space related to wear is constructed. Secondly, within this space, decision rules are defined that allow division into separate clusters according to wear levels. Since the construction of the information feature space (IFS) methods is of primary importance in these procedures, the purpose of this work is to determine the regularities of changes in the frequency characteristics of the dynamic cutting system caused by wear development and to construct, on this basis, a rational information space for diagnosing tool wear. Method and methodology. The study is based on mathematical modeling results of a perturbed dynamic cutting system to determine the information feature space representing tool wear. Methods for determining the parameters of information signal parameters (ISPs) are proposed, which provide high sensitivity to wear changes. All ISP parameters should be dimensionless and zeroed at zero wear. They must satisfy additional requirements, including noise immunity conditions. Results and discussion. The paper presents results of constructing ISP parameters for vibroacoustic emission analysis in two frequency ranges. In the low-frequency range, limited by the first natural frequencies of interacting subsystems (up to 1.0–1.5 kHz), vibration response parameters (VRP) are determined based on vibration sequences obtained analytically under power perturbations modeled as “white” noise. In the high-frequency range (above 2.0 kHz), information models based on random pulse sequences are proposed. It is shown that the applicability of a particular information feature depends on the conditions. Thus, the developed methodology, mathematical simulation, and digital and field experiments enabled the formation of a rational information space for wear diagnostics, in which known recognition methods can be used to construct decision rules for classifying information according to wear levels. For citation: Zakovorotny V.L., Gvindjiliya V.E., Kislov K.V. Information properties of vibroacoustic emission in diagnostic systems for cutting tool wear. Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science, 2025, vol. 27, no. 3, pp. 50–70. DOI: 10.17212/1994-6309-2025-27.3-50-70. (In Russian). ______ * Corresponding author Gvindjiliya Valery E., Ph.D. (Engineering), Senior Lecturer Don State Technical University, 1 Gagarin square, 344000, Rostov-on-Don, Russian Federation Tel.: +7 918 583-23-33, e-mail: vvgvindjiliya@donstu.ru Introduction In recent years (10–15), the global scientific community has been focusing on the construction of virtual digital models (VDM) of machining [1–14]. These models are primarily designed to determine the relationship between technological parameters and the output properties of the machining process. Most of the presented works do not reveal the structure of the relationship between state coordinates and output properties [1–7], but use experimentally obtained regression equations that couple technological parameters to the quality parameters of parts and tool wear [5–7]. This information is necessary for constructing a CNC program. In many cases, neural network modeling methods are used instead of regression equations [8–11]. The exceptions are studies [2–4, 17–21], in which dynamic cutting system (DCS) models are used to construct VDM. VDMs have been developed that allow the trajectories of form-forming movements to be
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