Article 8217

Title of the article

EVALUATION OF DYNAMIC QUALITY OF MACHINE TOOLS USING AUTOCORRELATION FUNCTIONS
OF VIBROACOUSTIC OSCILLATIONS 

Authors

Ignat'ev Aleksandr Anatol'evich, Doctor of engineering sciences, professor, sub-department of automation, control, mechatronics, Yuri Gagarin State Technical University of Saratov (77 Politekhnicheskaya street, Saratov, Russia), acm@sstu.ru
Samoylova Elena Mikhaylovna, Candidate of engineering sciences, associate professor, sub-department of automation, control, mechatronics, Yuri Gagarin State Technical University of Saratov (77 Politekhnicheskaya street, Saratov, Russia), acm@sstu.ru
Shamsadova Yakha Shaidovna, Applicant, sub-department of automation, control, mechatronics, Yuri Gagarin State Technical University of Saratov (77 Politekhnicheskaya street, Saratov, Russia), acm@sstu.ru

Index UDK

681.5

DOI

10.21685/2072-3059-2017-2-8

Abstract

Backround. Raised metal-processing quality standards for parts of precision mechanical engineering and instrumentation on modern automated machines using new tool materials determine the quality of attention to dynamic machines. Quite topical is setting cutting mode parameters with minimal vibroacoustic oscillations, in particular, when precision diamond turning. The aim of this work is to develop estimates of dynamic qualities of precision turning modules on the basis of calculating the autocorrelation function (ACF) and the definition of zones of turning parameters mode values with the highest precision machining with minimal VA fluctuations.
Materials and methods. The authors have theoretically and experimentally established the correspondence of integral estimates and the stability margin of a turning module’s dynamic system, obtained on the basis of the autocorrelation functions of vibroacoustic oscillations, with machined surface roughness.
Results. The researchers have established a monotonous decrease of integral estimates of the autocorrelation functions and the same decrease in the stability margin of a dynamical system with increasing values of the autocorrelation function decay parameter. The results of experimental studies of the relationship of surface roughness of parts machined on a precision turning module of TPARM type show that the mode of turning with minimal surface roughness is applicable to both these estimates. 
Conclusions. At the maximum stability margin of a turning module’s dynamic system the authors have revealed a frequency of a workpiece rotation, at which it is possible to achieve the minimum surface roughness at the maximum diamond turning performance. Herewith, these finding correspond with the previously obtained results regarding selection a turning mode by integral estimates of the autocorrelation functions of vibroacoustic oscillations.

Key words

turning machine, dynamic quality, vibroacoustic oscillations, autocorrelation function, integral estimation, transfer function, stability, surface roughness

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References

1. Kudinov V. A. Dinamika stankov [Dynamics of machine tools]. Moscow: Mashinostroenie, 1967, 360 p.
2. Brzhozovskiy B. M., Martynov V. V., Yankin I. N., Brovkova M. B. Dinamicheskiy monitoring tekhnologicheskogo oborudovaniya [Dynamic monitoring of technological equipment]. Saratov: SGTU, 2008, 312 p.
3. Ignat'ev A. A., Gorbunov V. V., Ignat'ev S. A. Monitoring tekhnologicheskogo protsessa kak element sistemy upravleniya kachestvom produktsii [Technological process monitoring as an element of the product quality management system]. Saratov: SGTU, 2009, 160 p.
4. Dobrynin S. A., Fel'dman M. S., Firsov G. I. Metody avtomatizirovannogo issledovaniya vibratsii mashin [Methods of automatic machine vibration research]. Moscow: Mashinostroenie, 1987, 224 p.
5. Ignat'ev A. A., Karakozova V. A., Ignat'ev S. A. STIN. 2014, no. 8, pp. 4–7.
6. Arshanskiy M. M., Shcherbakov V. P. Vibrodiagnostika i upravlenie tochnost'yu na metallo-rezhushchikh stankakh [Virbodiagnostics and precision management on metalcutting machine tools]. Moscow: Mashinostroenie, 1988, 136 p.
7. Ignat'ev A. A., Dobryakov V. A., Kuranov V. V. Izvestiya vuzov. Mashinostroenie [University proceedings. Mechanical engineering]. 1992, no. 4, pp. 98–104.
8. Levin M. B., Odulo A. B., Rezenberg D. E., Fel'dman M. S., Firsov G. I. Metodicheskoe i programmnoe obespechenie avtomatizirovannogo eksperimenta v dinamike mashin [Methodology and software for automatic experiments in machine dynamics]. Moscow: Nauka, 1989, 294 p.
9. Ignat'ev A. A., Vinogradov M. V., Gorbunov V. V., Dobryakov V. A., Ignat'ev S. A. Monitoring stankov i protsessov shlifovaniya v podshipnikovom proizvodstve [Monitoring of machine tools and grninding processes in bearing production]. Saratov: SGTU, 2004, 124 p.
10. Ignat'ev A. A., Karakozova V. A., Ignat'ev S. A. Stokhasticheskie metody identifikatsii v dinamike stankov [Stochastic methods of identification in machine tool dynamics]. Saratov: SGTU, 2013, 124 p.
11. Ignat'ev A. A., Konovalov V. V., Ignat'ev S. A. Identifikatsiya v dinamike stankov s ispol'zovaniem stokhasticheskikh metodov [Identification in machine tool dynamics using stochastic methods]. Saratov: SGTU, 2014, 92 p.
12. Brzhozovskiy B. M., Ignat'ev A. A., Dobryakov V A., Martynov V. V. Tochnost' i nadezhnost' avtomatizirovannykh metallorezhushchikh stankov: v 3 ch. [Precision and reliability of automatic metal-cutting machine tools: in 3 parts]. Saratov: SPI, 1994, part 2, 156 p.
13. Besekerskiy V. A., Popov E. V. Teoriya sistem avtomaticheskogo regulirovaniya [The theory automatic control systems]. Moscow: Nauka, 1975, 768 p.
14. Brzhozovskiy B. M., Ignat'ev A. A., Dobryakov V. A., Martynov V. V. Tochnost' i nadezhnost' avtomatizirovannykh metallorezhushchikh stankov: v 3 ch. [Precision and reliability of automatic metal-cutting machine tools: in 3 parts]. Saratov: SPI, 1992, part 1, 160 p.
15. Sklyarevich A. N. Operatornye metody v statisticheskoy dinamike avtomaticheskikh sistem [Operator methods in statistical dynamics of automatic systems]. Moscow: Nauka, 1965, 460 p.
16. Nikulin E. N. Osnovy teorii avtomaticheskogo upravleniya [Basic automatic control theory]. Saint-Petersburg: BXV-Peterburg, 2004, 630 p.

 

Дата создания: 07.11.2017 10:48
Дата обновления: 07.11.2017 15:05