TY - GEN
T1 - Lubrication Effects on Rolling Bearing Dynamics
T2 - TEPEN International Workshop on Fault Diagnostic and Prognostic
AU - Zhou, Zewen
AU - Gong, Xue
AU - Zhong, Kunzuo
AU - Chen, Bingyan
AU - Feng, Guojin
AU - Hu, Zhifeng
AU - Gu, Fengshou
AU - Ball, Andrew
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (Grant No. 52275133), the open project of State Key Laboratory of Traction Power, Southwest Jiaotong University, China (Grant No. TPL2210) and the China Scholarship Council (Grant No. 202108360086).
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024/9/4
Y1 - 2024/9/4
N2 - Rolling bearings, critical in various rotating machinery, significantly influence system performance including reliability. However, the impact of lubricating properties on bearing vibration characteristics remains inadequately explored despite its crucial importance in improving the performance and elucidating fault mechanisms. This paper introduces a dynamic model that incorporates lubrication effects, time-varying friction forces between rollers and raceways, as well as contact and friction forces between rollers and the cage. The model includes self-rotation and revolution of the roller, along with the revolution of the cage, enabling analysis of the bearing's slippage behaviour. Through a series of simulations involving various viscosity pressure coefficients, the study explores the effect of lubricant viscosity on oil film thickness, internal forces, dynamic responses and slip properties of the bearing. It has found that increasing viscosity leads to lower characteristic frequencies and more pronounced slippage. Moreover, higher viscosity levels result in more significant deviations between simulated characteristic frequencies and their theoretical values. This research offers new insights into bearing tribo-dynamics, offering a theoretical basis for bearing condition monitoring and fault diagnosis.
AB - Rolling bearings, critical in various rotating machinery, significantly influence system performance including reliability. However, the impact of lubricating properties on bearing vibration characteristics remains inadequately explored despite its crucial importance in improving the performance and elucidating fault mechanisms. This paper introduces a dynamic model that incorporates lubrication effects, time-varying friction forces between rollers and raceways, as well as contact and friction forces between rollers and the cage. The model includes self-rotation and revolution of the roller, along with the revolution of the cage, enabling analysis of the bearing's slippage behaviour. Through a series of simulations involving various viscosity pressure coefficients, the study explores the effect of lubricant viscosity on oil film thickness, internal forces, dynamic responses and slip properties of the bearing. It has found that increasing viscosity leads to lower characteristic frequencies and more pronounced slippage. Moreover, higher viscosity levels result in more significant deviations between simulated characteristic frequencies and their theoretical values. This research offers new insights into bearing tribo-dynamics, offering a theoretical basis for bearing condition monitoring and fault diagnosis.
KW - Condition Monitoring
KW - Dynamic Modelling
KW - Internal Clearance
KW - Lubricant Viscosity
KW - Rolling Bearing
KW - Time-Varying Friction
UR - http://www.scopus.com/inward/record.url?scp=85204362061&partnerID=8YFLogxK
UR - https://doi.org/10.1007/978-3-031-69483-7
U2 - 10.1007/978-3-031-69483-7_48
DO - 10.1007/978-3-031-69483-7_48
M3 - Conference contribution
AN - SCOPUS:85204362061
SN - 9783031694820
SN - 9783031694851
VL - 169
T3 - Mechanisms and Machine Science
SP - 532
EP - 542
BT - Proceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP
A2 - Liu, Tongtong
A2 - Zhang, Fan
A2 - Huang, Shiqing
A2 - Wang, Jingjing
A2 - Gu, Fengshou
PB - Springer, Cham
Y2 - 8 May 2024 through 11 May 2024
ER -