Istrazivanja i projektovanja za privreduJournal of Applied Engineering Science


DOI: 10.5937/jaes0-33132 
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Creative Commons License

Volume 20 article 948 pages: 420-431

Gavrilin Alexey Nikolaevich
National Research Tomsk Polytechnic University, Tomsk, Russia

Odnokopylov Georgy Ivanovich
National Research Tomsk Polytechnic University, Tomsk, Russia

Bukreev Viktor Grigorievich
National Research Tomsk Polytechnic University, Tomsk, Russia

Nikonova Tatyana Yuryevna*
Karaganda technical university, Karaganda, Kazakhstan

Zharkevich Olga Mikhailovna
Karaganda technical university, Karaganda, Kazakhstan

Buzauova Toty Meirbekovna
Karaganda technical university, Karaganda, Kazakhstan

The article describes the main causes and sources of impulse - vibration effects on the elements of the "machine tool – device - tool - detail" system. The paper deals with the development of methods for increasing the efficiency of machining due to the rational choice of technical solutions for vibration protection by design and technological methods with the use of vibration monitoring. A criterion for the efficiency of machining is given, which is determined by a matrix using scalar parameters, which are traditionally used for vibration diagnostics. A complex criterion for the quality of machining has been determined, which describes the indicators of the geometric accuracy of the machined surface. The block diagram of algorithms for selection and rational use of structural and technological methods of vibration protection of technological system elements is presented. Vibration and technological criteria for choosing solutions for vibration protection and monitoring are proposed. The implementation of the developed algorithms is considered on examples of machining and numerical estimates are given, confirming the high quality of the developed solutions.

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The research was carried out within the framework of the funding of the Grant "Best Teacher of the University" issued by T.Yu. Nikonova. Ministry of Education and Science of the Republic of Kazakhstan.

1. Gavrilin, A., Moyzes, B., Zharkevich, O., (2015). Constructive and processing methods of reducing vibration level of the metalworking machinery elements. Journal of Vibroengineering, 17(7), 3495–35047.‏

2. Sinitsa, M.O., Komshin, A.S., (2020). Development of a control system for large-sized products to improve product quality in mechanical engineering // IOP Conference Series Materials Science and Engineering, 971:022057 DOI:10.1088/1757-899X/971/2/022057

3. F (2017). The use of measuring phase-chronometric systems in the production of cyclic aggregates of aircraft. MATEC Web of Conferences, 129, 01048. DOI: 10.1051/matecconf/201712901048

4. Kransutskaya, A., Syritskii A., Tumakova E., Boldasov D., (2019). The study on external influence on the phasechronometric profile of asynchronous electric motors IOP Conf. Series: Materials Science and Engineering, 489, 012019 DOI:10.1088/1757-899X/489/1/012019

5. Pozdnyakova, E.D., Maslennikova, E.V., Komshin, A.S., Orlova, S.R. Measuring control of construction materials parameters in order to increase reliability of engineering objects. IOP Conference Series: Materials Science and Engineering, 2019, 489(1), 012008 DOI:10.1088/1757-899X/489/1/012008

6. Komshin A.S., Potapov K.G., Syritsky A.B., Fomin A.E., (2020). Monitoring system of hydro and wind power equipment based on intelligent measuring complexes and neurodiagnostics. IOP Conference Series Materials Science and Engineering, 971(2):022055 DOI:10.1088/1757-899X/971/2/022055

7. Boldasov, D.D., Drozdova, J.V., Komshin, A.S., Syritskii A.B., (2020). Neural Network Application for Phasechronometric Measurement Information Processing. Measurement Techniques, 63(9), 708–712. DOI:10.1007/s11018-021-01843-2

8. Azmi, A.I. (2015) Monitoring of tool wear using measured machining forces and neuro-fuzzy modelling approaches during machining of GFRP composites. Advances in Engineering Software, 82, 53-64. DOI:10.1016/j.advengsoft.2014.12.010

9. Proteau, A., Tahan, A., Thomas, M. (2019). Specific cutting energy: a physical measurement for representing tool wear. International Journal of Advanced Manufacturing Technology, 103 (1-4), 101-110. DOI:10.1007/s00170-019-03533-4

10. Kaliński K., Stawicka-Morawska, N., Galewski M., Mazur, M., (2021). A method of predicting the best conditions for large-size workpiece clamping to reduce vibration in the face milling process. Scientific Reports 11(1) DOI:10.1038/s41598-021-00128-6

11. Bolsunovsky S.A., Vermel V.D., Gubanov G.A., Kacharava I.N., Leontiev A.E., (2013). Computational and experimental evaluation of rational technological parameters of high-performance milling as part of an automated system for technological preparation of the production of aerodynamic models of aircraft. Izvestia of the Samara Scientific Center of the Russian Academy of Sciences, 11, 23 – 26.

12. Bolsunovsky, S.A., Vermel, V.D., (2009). Methodology and technical equipment for evaluating the vibration characteristics of the system "machine - device - tool- detail" in the process of high-speed milling // Scientific and technical report of TsAGI 2008: Sat. articles: Central Aerohydrodynamic Institute. Zhukovsky, 100.

13. Aleinikov D.P., Lukyanov A.V., (2017). Analysis of vibration parameters of end mills during their wear // Systems. Methods. Technologies, №4 (36), 71–77.

14. Aleinikov, D.P., Lukyanov, A.V., (2015). Investigation of the dynamics of fastening vibration sensors of the spindles of machining centers. Bulletin of the Irkutsk State Technical University, 2, 28 - 35.

15. Aleinikov, D.P., Lukyanov, A.V. Modeling of cutting forces and determination of vibrodiagnostic signs of defects in end mills. Systems. Methods. Technologies, 2017, 1 (33), 39 - 47.

16. Aleinikov D.P., Lukyanov A.V., (2016). Monitoring of the dynamic state of processing centers. Collection of articles of the VII All-Russian scientific-practical conference "Aircraft engineering and transport of Siberia", 197-200.

17. Nizhegorodov, A., Gavrilin, A., Moyzes, B., Zharkevich, O., Zhetesova G.S., Muravyov, O., Bets M., 2016, Stand for dynamic tests of technical products in the mode of amplitude-frequency modulation with hydrostatic vibratory drive, Journal of Vibroengineering, 18(6), pp. 3734 - 3742.

18. Eliseev, S., Livshitz, I., Lontsikh, P., Karasev, S., (2019). Specific modes of formation of dynamic states for robotic systems and their control systems, taking into account the connectivity of movements in two coordinates. Proceedings of the 2019 IEEE International Conference Quality Management, Transport and Information Security, Information Technologies IT and QM and IS, 333 - 338.

19. Eliseev S., Eliseev V., (2020). Reduced characteristics in assessing properties of mechanical oscillatory systems: generalized approaches in the construction of mathematical models. Studies in Systems, Decision and Control, 269-381.

20. Sandip, P., Shashikant, J., Asim, T., Suhas, S., (2014). Modelling and simulation of effect of ultrasonic vibrations on machining of Ti6Al4V, Affiliations expand, 54(2), 694 - 705.

21. Gavrilin, A., Moises, B., Cherkasov, A., (2013). Constructive methods of increasing the vibration resistance of metal-cutting equipment. Diagnostics, 13, 82 - 87.

22. Gavrilin A., (2015). Modeling of dynamic processes in mechanical processing, Basic research, 2-20, 4403 - 4407.

23. Gavrilin, A., Kladiev, S., Glazyrin, A., Bolovin, E., Polishchuk, V., (2019). Identification of parameters of vibration electromagnetic activator mechanical system using limiting nearresonance frequency. Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering, 330(4), 158 - 177.

24. Gavrilin A., Moyzes B., Kuvshinov K., Vedyashkin M., Surzhikova О., (2019). Determination of optimal milling modes by means of shock-vibration load reduction on tool and peak-factor equipment. Materials Science Forum, 942, 87–96. DOI:10.4028/

25. Gavrilin, A., Bolovin, E., Glazyrin, A., Kladiev, S., Polishchuk, V., (2019). Resonant oscillations with a limiting amplitude in a vibration electromagnetic activator, Bulletin of the Tomsk Polytechnic University, Geo Assets Engineering, 330(1), 201–213.

26. Gavrilin A., Cherkasov A., Khrenovsky A. Shock-type vibration dampener. Patent for a utility model of the Russian Federation No. 145093 dated 10.09.2014.

27. Gavrilin A., Cherkasov A. Vibration dampener for the mobile unit of the machine. Patent for a utility model of the Russian Federation No. 171245 dated 25.05.2017

28. Gavrilin A., Moises B., Kuvshinov K. Device for determining the dynamic stiffness of bearing elements of metal-cutting machines. Patent for the invention of the Russian Federation No. 2687341, dated 13.05.2019.

29. Nikonova T., Zhetessova G., Yurchenko V., 2018, Mathematical modeling of vibroburnishing of the hole of cylinder, Journal of Applied Engineering Science, 16(1), 5–10 DOI:10.5937/jaes16-13860