Powered by OpenAIRE graph
Found an issue? Give us feedback
Physics of Fluidsarrow_drop_down
Physics of Fluids
Article . 2024 . Peer-reviewed
Data sources: Crossref
addClaim

Modeling of ball bearing churning losses

Authors: Shuai Hu; Wuqi Gong; Xiangyu Xu; Xiaomin Liu;

Modeling of ball bearing churning losses

Abstract

Ball bearings are widely used in automotive driveline systems, and their performance plays a crucial role in driveline safety and transmission efficiency. However, the studies on revealing the internal flow mechanism of ball bearings and predicting the churning power loss under jet lubrication system are still insufficient. In this study, a numerical simulation model consisting of a bearing chamber, balls, and nozzles was developed. The flow under a series of operating conditions was simulated and the effects of different injection angles on the lubrication performance of the bearing were analyzed. In addition, a churning loss prediction model was established by constructing an orthogonal scheme, magnitude analysis and multiple linear regression, and a bearing churning loss test rig was built to verify the accuracy of the prediction model. The results show that the lubrication effect is enhanced when the nozzle is facing the inner ring; The influence of oil temperature on the churning torque is greatly weakened at higher flow rates, while it is opposite at lower flow rates; The relative error between the predicted and experimental values of the established model is within 10%, which meets the industrial requirements. This work helps scholars to understand the internal flow mechanism of ball bearings under the oil injection system and provides a method to predict the oil churning power loss of ball bearings.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!