Characterization of the skidding dynamics of rolling bearings considering cage flexibility

Cage is the most vulnerable component in the rolling bearing structure. Its flexibility directly affects the deformation of the cage, which changes the contact state between the cage and the rolling element, and thus affecting the skidding characteristics of the rolling bearings. The cage is discretized into mass blocks connected by springs and dampers to consider its circumferential flexibility, and a dynamic model of the shaft-bearing-housing system is proposed by considering contact force, damping force, friction force, oil film stiffness, viscous drag force, and elastic support of the shaft and housing. The variations of the contact force between the cage and rolling element and the internal force of the cage are analyzed. The effects of the cage's connect stiffness, rotational speed, and load on the skidding characteristics of the rolling bearings are investigated. The results show that the dynamic interaction between the cage and rolling element is influenced by cage flexibility. The dynamic model considering cage flexibility can more realistically reflect the skidding in rolling bearings. Increasing the connect stiffness results in higher internal forces in the cage and a lower skidding ratio.

Authors

Institutions

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics
Published
2025-09-17
DOI
https://doi.org/10.1177/14644193251377208
Primary Topic
Gear and Bearing Dynamics Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of the skidding dynamics of rolling bearings considering cage flexibility

Wenbing Tu, Wennian Yu, Yibin Huang, Guiyuan Zhang
Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics
Gear and Bearing Dynamics Analysis
article

Characterization of the skidding dynamics of rolling bearings considering cage flexibility

Wenbing Tu, Wennian Yu, Yibin Huang, Guiyuan Zhang
article en

Abstract

Cage is the most vulnerable component in the rolling bearing structure. Its flexibility directly affects the deformation of the cage, which changes the contact state between the cage and the rolling element, and thus affecting the skidding characteristics of the rolling bearings. The cage is discretized into mass blocks connected by springs and dampers to consider its circumferential flexibility, and a dynamic model of the shaft-bearing-housing system is proposed by considering contact force, damping force, friction force, oil film stiffness, viscous drag force, and elastic support of the shaft and housing. The variations of the contact force between the cage and rolling element and the internal force of the cage are analyzed. The effects of the cage's connect stiffness, rotational speed, and load on the skidding characteristics of the rolling bearings are investigated. The results show that the dynamic interaction between the cage and rolling element is influenced by cage flexibility. The dynamic model considering cage flexibility can more realistically reflect the skidding in rolling bearings. Increasing the connect stiffness results in higher internal forces in the cage and a lower skidding ratio.

Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics
East China Jiaotong University (CN), Chongqing University (CN), Fujian Jiangxia University (CN), Jiangxi University of Science and Technology (CN)
Openalex Percentile: Top 74%
Gear and Bearing Dynamics Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.