Continuous Rotor Dynamics of Multi-Disc and Multi-Span Rotor: A Theoretical and Numerical Investigation on the Identification of Bearing Coefficients from Unbalance Responses
Source abstract
Abstract
Identification of bearings’ stiffness and damping coefficients, which strongly affects the dynamic characteristics of rotors, is another inverse problem of Rotor Dynamics. In this paper, aiming at multi-disc and multi-span rotors, two novel algorithms are proposed for identifying each bearing’s coefficients based on the continuous rotor dynamic analysis method. A linear functional relationship between the main complex coefficients and the cross-coupled complex coefficients is obtained, which eliminates the coupling between the coefficients and the rotor unbalance in the forward problem. Then, Algorithm I is proposed. However, it is only suitable for rolling-bearing. To solve the problem, changing the rotating speed slightly is proposed to solve the difficulty that another set of equations cannot be developed because the slope of the proposed linear function is constant when the rotating speed is maintained at a fixed speed. Then, Algorithm II, which can be applied to both rolling-bearing and oil-journal bearing, is provided. Numerical investigations are conducted to study the two methods. It is indicated that there should be a measuring point, called an adjustment point, near each bearing, whose coefficients should be identified, to obtain high identification accuracy. Moreover, the identification accuracy of the two algorithms is strongly related to sensor resolution. When the measuring errors of all the required unbalance responses are zero or the same, the identification errors are almost equal to zero. In conclusion, the proposed algorithms provide a method for monitoring the stiffness and damping coefficients of all bearings in a multi-disc and multi-span rotor under operation conditions to predict rotor dynamic behavior for the safe and steady running of rotating machines.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Tribology and Lubrication Engineering · Magnetic Bearings and Levitation Dynamics · Gear and Bearing Dynamics Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Electronic & Information Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China
School of Mechanics and Civil Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China
Funding
Fundamental Research Funds for the Central Universities
References (27)
Show source-provided references
1. A Simplified Identification Method of Dynamic Stiffness for the Heavy-Load and Low-Speed Journal Bearings
2. Additive manufacturing of a shift block via laser powder bed fusion: The simultaneous utilisation of optimised topology and a lattice structure10.1080/17452759.2020.1818917 ↗
3. Snyder, T., and Braun, M. (2018). Comparison of perturbed reynolds equation and cfd models for the prediction of dynamic coefficients of sliding bearings. Lubricants, 6.10.3390/lubricants6010005 ↗
4. Stiffness and damping coefficients for journal bearing using the 3D transient flow calculation10.1007/s12206-017-0405-9 ↗
5. Dynamic coefficients and stability analysis of finite-length journal bearings considering approximate analytical solutions of the Reynolds equation10.1016/j.triboint.2018.09.011 ↗
6. Dynamic coefficients of finite length journal bearing. Evaluation using a regular perturbation method10.1016/j.ijmecsci.2018.11.018 ↗
7. Kang, Y., Shi, Z., Zhang, H., Zhen, D., and Gu, F. (2020). A novel method for the dynamic coefficients identification of journal bearings using Kalman filter. Sensors, 20.10.3390/s20020565 ↗
8. Model-based interpolation-iteration method for bearing coefficients identification of operating flexible rotor-bearing system10.1016/j.ijmecsci.2017.07.020 ↗
9. Identification of dynamic bearing parameters: A review10.1177/0583102404040173 ↗
10. Identification of rotor bearing parameters using vibration response data in a turbocharger rotor
11. Some dynamic properties of oil-film journal bearings with reference to the unbalance vibration of rotors10.1115/1.4011305 ↗
12. Duffin, S., and Johnson, B.T. (1966, January 1). Paper 4: Some Experimental and Theoretical Studies of Journal Bearings for Large Turbine-Generator Sets. Proceedings of the Institution of Mechanical Engineers, London, UK.10.1243/PIME_CONF_1966_181_036_02 ↗
13. Identification of speed-dependent bearing parameters10.1006/jsvi.2001.4140 ↗
14. Bayesian inference applied to journal bearing parameter identification10.1007/s40430-017-0787-8 ↗
15. Identification of dynamic coefficients in circular journal bearings from unbalance response and complementary equations10.1177/1350650118818345 ↗
16. A New Algorithm and Experimental Investigation for the Identification of Dynamic Characteristics of Journal Bearings
17. Tiwari, R., and Chakravarthy, V. (2011). Identification of the bearing and unbalance parameters from rundown data of rotors. IUTAM Symposium on Emerging Trends in Rotor Dynamics, Springer.10.1007/978-94-007-0020-8_40 ↗
18. Bently, D.E. (1986, January 3–6). Modal testing and parameter identification of rotating shaft/fluid lubricated bearing system. Proceedings of the Fourth International Conference on Modal Analysis, Los Angeles, CA, USA.
19. Stanway, R., Tee, T.K., and Mottershead, J.E. (1989, January 17–21). Identification of squeeze-film bearing dynamics using a recursive, frequency-domain filter. Proceedings of the ASME Twelfth Biennial Conference on Mechanical Vibration and Noise, Montreal, QC, Canada.
20. Iida, H. (, January September). Application of the Experimental Determination of Character Matrics to the Balancing of a Flexible Rotor. Proceedings of the IFToMM 4th International Conference on Rotor Dynamics, Chicago, IL, USA.
21. Chakravarthy, V. Simultaneous identification of residual unbalances and bearing dynamic parameters from impulse responses of rotor–bearing systems10.1016/j.ymssp.2006.01.005 ↗
22. Simultaneous estimation of the residual unbalance and bearing dynamic parameters from the experimental data in a rotor-bearing system10.1016/j.mechmachtheory.2008.04.008 ↗
23. Conditioning of regression matrices for simultaneous estimation of the residual unbalance and bearing dynamic parameters10.1016/j.ymssp.2004.09.005 ↗
24. Analytical modelling and numerical experiment for simultaneous identification of unbalance and rolling-bearing coefficients of the continuous single-disc and single-span rotor-bearing system with Rayleigh beam model10.1016/j.ymssp.2018.06.039 ↗
25. Wang, A., Xia, Y., Cheng, X., Yang, J., and Meng, G. (2022). Continuous Rotor Dynamics of Multi-disc and Multi-span Rotor: Theoretical and Numerical Investigation on Continuous Model and Analytical Solution for Unbalance Responses. Appl. Sci., accepted.10.3390/app12094351 ↗
26. Wang, A., Feng, Y., Yang, J., Cheng, X., and Meng, G. (2022). Continuous Rotor Dynamics of Multi-disc and Multi-span Rotor: A Theoretical and Numerical Investigation on Identification of Rotor Unbalance from Unbalance Responses. Appl. Sci., 12.10.3390/app12083865 ↗
27. Wang, A., and Yao, W. (2021). Theoretical and Numerical Studies on Simultaneous Identification of Rotor Unbalance and Sixteen Dynamic Coefficients of Two Bearings Considering Unbalance Responses. Int. J. Control. Autom. Systems, accepted.10.1007/s12555-021-0340-5 ↗