OBRABOTKAMETALLOV Vol. 27 No. 4 2025 203 EQUIPMENT. INSTRUMENTS Prediction of tool wear intensity during machining of titanium nickelide TN-1 Anton Kisel’ 1, 2, a, *, Nikolaj Bobrovskij 1, 3, b, Dmitrij Podashev 2, c, Pavel Tselikov 2, d, Renat Kamenov 1, 3, e 1 National Research University of Electronic Technology (MIET), 1 Shokin Square, Moscow, Zelenograd, 124498, Russian Federation 2 Kaliningrad State Technical University, 1 Sovetsky Prospekt, Kaliningrad, 236022, Russian Federation 3 Togliatti State University, 14 Belorusskaya st., Togliatti, 445020, Russian Federation a https://orcid.org/0000-0002-8014-0550, kisel1988@mail.ru; b https://orcid.org/0000-0002-9299-2822, bobrnm@yandex.ru; c https://orcid.org/0000-0001-9112-9253, dbp90@mail.ru; d https://orcid.org/0009-0008-6040-0600, patersort@list.ru; e https://orcid.org/0000-0001-9181-5704, renatkamenov@mail.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. 4 pp. 194–205 ISSN: 1994-6309 (print) / 2541-819X (online) DOI: 10.17212/1994-6309-2025-27.4-194-205 ART I CLE I NFO Article history: Received: 11 September 2025 Revised: 25 September 2025 Accepted: 11 November 2025 Available online: 15 December 2025 Keywords: Titanium Nickelide Chip Wear intensity Shrinkage coeffi cient Tool Prediction Funding The research was supported by a grant from the Russian Science Foundation, project No. 22-19-00298-P, https:// rscf.ru/en/project/22-19-00298/ ABSTRACT Introduction. One of the crucial criteria for evaluating the eff ectiveness of the chosen strategy for machining blanks is the tool wear intensity. Reducing the intensity of tool wear leads to a reduction in production costs related to cutting tool expenditures and an improvement in overall productivity. The purpose of this work is to reduce tool wear intensity during the machining of a blank manufactured from the shape memory alloy titanium nickelide TN-1. Methods. As part of this research, a complete three-factor turning experiment was conducted on the alloy blank to determine the cutting insert wear intensity over a wide range of cutting conditions. During the tests, the geometric parameters of the resulting chips, specifi cally thickness and width, were measured. By constructing graphs representing the dependencies of the chip parameters, approximating these dependencies, and assessing the reliability of each approximation, a key parameter was identifi ed for developing a methodology to predict tool wear intensity. Results and discussion. The study demonstrates that for predicting the cutting insert wear intensity when turning a titanium nickelide TN-1 blank, it is advisable to use the dependency on the resulting chip thickness. The established mathematical dependency is described by a system of equations that allows for the determination of the cutting insert wear intensity and the calculation error. The probability of accurately predicting the true value of tool wear intensity within the specifi ed range is at least 87.5% at a 95% confi dence level, which indicates suffi cient practical accuracy. The essence of the methodology developed within this study for predicting the cutting insert wear magnitude lies in performing a test cut to obtain a chip whose thickness is then used to calculate the wear intensity magnitude and the most probable absolute error based on the established dependencies. Additionally, the study establishes that the wear intensity dependency exhibits a minimum point. This circumstance allowed for the establishment of the minimal possible wear intensity during TN-1 alloy machining, as well as the associated calculation error: δVmin = (0.432 ± ± 0.096)·10−3 mm−2. For an optimal chip thickness of a = 0.34 mm, the closest tested mode yielding a comparable wear intensity of 0.475⋅10−3 mm−2 is: cutting speed 5 m/min, feed rate 0.2 mm/rev, depth of cut 0.3 mm. The chip thickness for this mode was 0.4 mm. For citation: Kisel’A.G., Bobrovskij N.M., Podashev D.B., Tselikov P.V., Kamenov R.U. Prediction of tool wear intensity during machining of titanium nickelide TN-1. Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science, 2025, vol. 27, no. 4, pp. 194–205. DOI: 10.17212/1994-6309-2025-27.4-194-205. (In Russian). ______ * Corresponding author Kisel’ Anton G., Ph.D. (Engineering), Associate Professor Kaliningrad State Technical University, 1 Sovetsky Prospekt, 236022, Kaliningrad, Russian Federation Tel.: +7 (999) 458-08-25, e-mail: kisel1988@mail.ru References 1. Zhang G., Wang J. Tool wear mechanism and suppression in machining ferrous materials. Material-oriented cutting processes in precision machining. Springer Tracts in Mechanical Engineering. Singapore, Springer, 2025, pp. 109–145. DOI: 10.1007/978-981-96-2504-8_5. 2. Pham H.T., Tchigirinskiy Yu.L., Polyanchikov Yu.N. Metody snizheniya intensivnosti iznashivaniya tverdosplavnogo instrumenta [Methods of intensity decreasing of hard alloy tool wear]. Fundamental’nye issledovaniya = Fundamental Research, 2017, no. 12-1, pp. 132–137. (In Russian).
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