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Wpływ rozkładu wad lokalnych na charakterystykę drgań łożysk kulkowych
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Abstrakty
Local defects in ball bearings may occur at the center line of raceway and its surrounding areas. However, most current studies were concentrated in studying the influence of the local defect located at the centerline of raceway on the bearing vibrations, where the effects of local defects surround the centerline were ignored. To overcome this problem, based on Hertzian point contact theory and multi-body dynamic algorithm, a multi-body dynamic model considering the offset and angular distributions for a ball bearing with a local defect on its outer raceway is established. The influences of offset distance and skew angle between the geometric center of local defect and the centerline of outer raceway on the bearing vibrations are investigated. The relationship between the offset distance and the impulse waveform characteristics is obtained, as well as that between the skew angle and the impulse waveform characteristics. The results show that the offset distance and skew angle of the local defect have a great influence on the time-domain impulse waveform characteristics of the bearing accelerations. This paper can provide a useful guidance for the accurate diagnosis of early local fault in the ball bearings.
Wady lokalne łożysk kulkowych mogą występować na linii środkowej bieżni oraz w otaczających ją obszarach. Jednak większość dotychczasowych badań nad wpływem wad lokalnych na drgania łożyska koncentruje się na wadach linii środkowej bieżni ignorując oddziaływanie wad zlokalizowanych w obszarach otaczających tę linię. Aby rozwiązać ten problem, w przedstawionej pracy wykorzystano teorię kontaktu Hertza oraz algorytm do analizy dynamiki układów wieloczłonowych, co pozwoliło na utworzenie modelu dynamiki układu wieloczłonowego uwzględniającego przesunięcie i rozkłady kątowe łożyska kulkowego z lokalną wadą na bieżni zewnętrznej. Badano wpływ wartości przesunięcia i kąta nachylenia między geometrycznym środkiem wady lokalnej a linią środkową bieżni zewnętrznej na drgania łożyska. Otrzymano zależności pomiędzy wartością przesunięcia a charakterystyką przebiegu impulsu, a także między kątem nachylenia a charakterystyką przebiegu impulsu. Wyniki pokazują, że wartość przesunięcia i kąt nachylenia wady lokalnej mają duży wpływ na przebieg przyspieszeń łożyska w dziedzinie czasu. Praca dostarcza pożytecznych wskazówek na temat trafnego diagnozowania lokalnych uszkodzeń łożysk kulkowych w ich wczesnych stadiach.
Czasopismo
Rocznik
Tom
Strony
485--492
Opis fizyczny
Bibliogr. 32 poz., rys., tab.
Twórcy
autor
- State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, 400030 College Engineering, Chongqing University, Chongqing, 400030 China
autor
- College Engineering, Chongqing University, Chongqing, 400030 China
autor
- College Engineering, Chongqing University, Chongqing, 400030 China
autor
- College Engineering, Chongqing University, Chongqing, 400030 China
autor
- College Engineering, Chongqing University, Chongqing, 400030 China
Bibliografia
- 1. Arslan H., Aktürk N. -An investigation of rolling element vibrations caused by local defects. Journal of Tribology 2008; 130(4): 041101, https://doi.org/10.1115/1.2958070.
- 2. Babu C. K., Tandon N., Pandey R. K. -Nonlinear vibration analysis of an elastic rotor supported on angular contact ball bearings considering six degrees of freedom and waviness on balls and races. Journal of Vibration and Acoustics 2014; 136(4): 044503, https://doi.org/10.1115/1.4027712.
- 3. Behzad M., Bastami A. R., Mba D. -A new model for estimating vibrations generated in the defective rolling element bearings. Journal of Vibration and Acoustics 2011; 133(4): 041011, https://doi.org/10.1115/1.4003595.
- 4. Chen Z., Zhai W., Wang K. -Vibration feature evolution of locomotive with tooth root crack propagation of gear transmission system. Mechanical Systems and Signal Processing 2019; 115: 29-44. https://doi.org/10.1016/j.ymssp.2018.05.038
- 5. Cui L., Huang J., Zhang F., Chu F. -HVSRMS localization formula and localization law: Localization diagnosis of a ball bearing outer ring fault, Mechanical Systems and Signal Processing 2019; 120(1): 608-629, https://doi.org/10.1016/j.ymssp.2018.09.043.
- 6. Cui L., Wang X., Xu Y., Jiang H., Zhou J. -A novel Switching Unscented Kalman Filter method for remaining useful life prediction of rolling bearing, Measurement 2019; 135: 678–684. https://doi.org/10.1016/j.measurement.2018.12.028
- 7. Cui L., Wang J., Seungchul L. -Matching Pursuit of an Adaptive Impulse Dictionary for Bearing Fault Diagnosis. Journal of Sound and Vibration 2014; 333(10): 2840-2862. https://doi.org/10.1016/j.jsv.2013.12.029
- 8. Kankar P. K., Sharma S. C., Harsha S. P. -Vibration based performance prediction of ball bearings caused by localized defects. Nonlinear Dynamics 2012; 69(3): 847-875, https://doi.org/10.1007/s11071-011-0309-7.
- 9. Khanam S., Dutt J. K., Tandon N. -Impact force based model for bearing local fault identification. Journal of Vibration and Acoustics 2015; 137(5): 051002, https://doi.org/10.1115/1.4029988.
- 10. Khanam S., Tandon N., Dutt J. K. -Multi-event excitation force model for inner race defect in a rolling element bearing. Journal of Tribology 2016; 138(1): 011106, https://doi.org/10.1115/1.4031394.
- 11. Leturiondo U., Salgado O., Galar D. -Multi-body modelling of rolling element bearings and performance evaluation with localised damage. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2016; 18(4): 638–648, https://doi.org/10.17531/ein.2016.4.20.
- 12. Liu J., Shao Y. -Overview of dynamic modelling and analysis of rolling element bearings with localized and distributed faults. Nonlinear Dynamics 2018; 93 (4): 1765-1798, https://doi.org/10.1007/s11071-018-4314-y.
- 13. Liu J., Shao Y. -An improved analytical model for a lubricated roller bearing including a localized defect with different edge shapes. Journal of Vibration and Control 2018; 24(17): 3894-3907, https://doi.org/10.1007/s11071-017-3571-5.
- 14. Liu J., Shao Y., Lim T. C. -Vibration analysis of ball bearings with a localized defect applying piecewise response function. Mechanism and Machine Theory 2012; 56: 156-169, https://doi.org/10.1016/j.mechmachtheory.2012.05.008.
- 15. Liu J., Shi Z., Shao Y. -An investigation of a detection method for a subsurface crack in the outer race of a cylindrical roller bearing. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2017; 19(2): 211-219, https://doi.org/10.17531/ein.2017.2.8.
- 16. Liu J., Shao Y. Dynamic modeling for rigid rotor bearing systems with a localized defect considering additional deformations at the sharp edges. Journal of Sound and Vibration 2017; 398: 84-102, https://doi.org/10.1016/j.jsv.2017.03.007.
- 17. Liu J., Tang C., Shao Y. -An innovative dynamic model for vibration analysis of a flexible roller bearing. Mechanism and Machine Theory 2019; 135: 27-39. https://doi.org/10.1016/j.mechmachtheory.2019.01.027
- 18. Liu J., Xu Z., Zhou L., Yu W., Shao Y. -A statistical feature investigation of the spalling propagation assessment for a ball bearing. Mechanism and Machine Theory 2019; 131: 336-350. https://doi.org/10.1016/j.mechmachtheory.2018.10.007
- 19. Liu J., Xu Y., Shao Y. -Dynamic modelling of a rotor-bearing-housing system including a localized fault. Journal of Multi-body Dynamics 2018; 232(3): 385-397, https://doi.org/10.1177/1464419317738427.
- 20. Li X., Yu K., Ma H., Cao L., Luo Z., Li H., Che, L. -Analysis of varying contact angles and load distributions in defective angular contact ball bearing. Engineering Failure Analysis 2018; 91: 449-464, https://doi.org/10.1016/j.engfailanal.2018.04.050.
- 21. MSC. Software. Adams/View help - Adams 2013. America. MSC. Software, 2013.
- 22. Niu L., Cao H., He Z., Li Y. -A systematic study of ball passing frequencies based on dynamic modeling of rolling ball bearings with localized surface defects. Journal of Sound and Vibration 2015; 357: 207-232, https://doi.org/10.1016/j.jsv.2015.08.002.
- 23. Patel V. N., Tandon N., Pandey R. K. -A dynamic model for vibration studies of deep groove ball bearings considering single and multiple defects in races. Journal of Tribology 2010; 132(4): 041101, https://doi.org/10.1115/1.4002333.
- 24. Rafsanjani A., Abbasion S., Farshidianfar A., Moeenfard, H. -Nonlinear dynamic modeling of surface defects in rolling element bearing systems. Journal of Sound and Vibration 2009; 319(3): 1150-1174, https://doi.org/10.1016/j.jsv.2008.06.043.
- 25. Sassi S., Badri B., Thomas M. -A numerical model to predict damaged bearing vibrations. Journal of Vibration and Control 2007; 13(11): 1603-1628. https://doi.org/10.1177/1077546307080040.
- 26. SKF. Bearing failures and their causes. Sweden. Palmeblads Tryckeri AB, 1994.
- 27. Song L., Wang H., Chen P. -Vibration-Based Intelligent Fault Diagnosis for Roller Bearings in Low-Speed Rotating Machinery. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2018; 67(8): 1887-1899. https://doi.org/10.1109/ TIM.2018.2806984
- 28. T. A. Harris, M. N. Kotzalas, Essential Concepts of Bearing Technology. 5th Ed. Beijing: China Machine Press, 2006.
- 29. Wang H., Li S., Song L., Cui L. -A novel convolutional neural network based fault recognition method via image fusion of multi-vibrationsignals, Computers in Industry 2019; 105: 182-190. https://doi.org/10.1016/j.compind.2018.12.013
- 30. Wang Y., Xu G., Luo A., Liang L., Jiang K. -An online tacholess order tracking technique based on generalized demodulation for rolling bearing fault detection. Journal of Sound and Vibration 2016; 367: 233-249, https://doi.org/10.1016/j.jsv.2015.12.041.
- 31. Xi S., Cao H., Chen X., Niu L. -A dynamic modeling approach for spindle bearing system supported by both angular contact ball bearing and floating displacement bearing. Journal of Manufacturing Science and Engineering 2017; 140(2), 021014, https://doi.org/10.1115/1.4038687.
- 32. Zhang T., Chen Z., Zhai W. -Establishment and validation of a locomotive–track coupled spatial dynamics model considering dynamic effect of gear transmissions. Mechanical Systems and Signal Processing 2019; 119: 328-345. https://doi.org/10.1016/j.ymssp.2018.09.032
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5a7fa2dd-644d-4c91-9c68-9f59a84db430