OBRABOTKAMETALLOV Vol. 23 No. 3 2021 MATERIAL SCIENCE EQUIPMENT. INSTRUMENTS 6 2 4 Influence of dynamic characteristics of the turning process on the workpiece surface roughness Valery Gvindjiliya a, *, Evgeniy Fominov b, Denis Moiseev с, Ekaterina Gamaleeva d Don State Technical University, 1 Gagarin square, Rostov-on-Don, 344000, Russian Federation a https://orcid.org/0000-0003-1066-4604, vvgvindjiliya@donstu.ru; b https://orcid.org/0000-0002-0165-7536, fominoff83@mail.ru; с https://orcid.org/0000-0002-7186-7758, denisey2003@mail.ru; d https://orcid.org/0000-0001-5829-4695, belan_kate80@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. 2024 vol. 26 no. 2 pp. 143–157 ISSN: 1994-6309 (print) / 2541-819X (online) DOI: 10.17212/1994-6309-2024-26.2-143-157 ART I CLE I NFO Article history: Received: 18 December 2023 Revised: 22 February 2024 Accepted: 15 April 2024 Available online: 15 June 2024 Keywords: Dynamics of the cutting process Vibrations Simulation model Surface roughness Funding The study was supported by a grant within the framework of the «Nauka-2030». ABSTRACT Introduction. The formation of the surface of a part when processing it on a metal-cutting machine is based on properly selected cutting modes. Complex methods of ensuring the specified quality of the part surface also take into account the tool geometry, its condition, and include corrections for tool deviation from the trajectory set by the CNC system under the influence of kinematic disturbances and spindle wavering. Subject. The paper analyzes the relationship between cutting modes and dynamic characteristics of the turning process, and its mapping into surface roughness. The aim of the work is to evaluate the influence of technological cutting modes taking into account the vibration activity of the tool on the roughness of the machined surface by means of simulation modeling. Method and methodology. Mathematical simulation of the dynamics of the cutting process is given, on the basis of which a digital simulation model is built. A methodology of using the simulation model for determining optimal cutting modes and predicting surface roughness taking into account tool vibrations is proposed. By means of experiments and analysis of the frequency characteristics of tool vibrations, the created model is validated, parameters of the cutting forces model subsystem and dynamic tool subsystem are specified, and geometrical topologies of the part surface are constructed. The calculated cutting forces are compared with experimental forces, and similar patterns and levels of characteristics are observed. An assessment of the optimality of the selected cutting modes is proposed based on the analysis of the tool vibration spectrum relative to the workpiece and the results of the numerical model simulation. Results and Discussion. A comparison of the results of digital modeling of the geometrical surface of the workpiece and the real surface obtained during the field experiment is given. It is shown that the roughness of the real surface obtained by machining with constant cutting modes varies relative to the surface roughness of the simulation model within the limits of not more than 0.066 µm. For citation: Gvindjiliya V.E., Fominov E.V., Moiseev D.V., Gamaleeva E.I. Influence of dynamic characteristics of the turning process on the workpiece surface roughness. Obrabotka metallov (tekhnologiya, oborudovanie, instrumenty) = Metal Working and Material Science, 2024, vol. 26, no. 2, pp. 143–157. DOI: 10.17212/1994-6309-2024-26.2-143-157. (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 The problems of forming the required geometric profile of the surface of the part, taking into account its microrelief, deviations from linear dimensions and waviness, are particularly relevant to the engineering and aerospace industries. The solutions to this problem are based on the processing of experimental data, which results in empirical dependencies [1]. These empirical dependencies identified three main factors that affect the formation of the surface of a part during machining: the initial surface shape, the cutting tool geometry, perturbations such as runout from the spindle group, and kinematic perturbations from the drive group [1–4]. The next step in improving the methods of analyzing and predicting the geometrical profile of the surface of a part was the technological provision of parameters of its surface layer condition
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