Lubrication characteristics of planar and arc structural water-lubricated bearings under mixed thermal elastohydrodynamic conditions with journal misalignment

Abstract To investigate the steady-state lubrication characteristics of water-lubricated bearings dominated by journal misalignment, this study establishes a mixed thermal elastohydrodynamic lubrication (TEHL) model that comprehensively considers elastic deformation, journal misalignment, asperity contact, and thermal effects, with turbulence corrections introduced. The model is comprehensively validated through comparisons in terms of fluid film pressure and journal misalignment. Based on this model, an in-depth comparison is conducted between planar and arc structural bearings regarding their steady-state lubrication performances, including fluid film pressure, contact state, friction coefficient, and temperature field. The results show that the arc structural bearing forms a more uniform fluid film pressure, effectively suppresses end contact, exhibits lower friction coefficients and operational temperature rise, and demonstrates superior comprehensive steady-state lubrication performance. In contrast, the planar structural bearing is more sensitive to misalignment, leading to localized contact and significant temperature increase. This study elucidates the lubrication mechanisms and performance differences between the two structural bearings under complex working conditions, providing a theoretical basis for the reliability design and structural selection of heavily loaded water-lubricated bearings.

Authors

Institutions

Publication Details

Journal
Journal of Tribology
Published
2026-05-11
DOI
https://doi.org/10.1115/1.4071917
Primary Topic
Tribology and Lubrication Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Lubrication characteristics of planar and arc structural water-lubricated bearings under mixed thermal elastohydrodynamic conditions with journal misalignment

Zhenya Xing, Yangyang Liu, Zhiming ZHAO, Xiaoyang Yuan et al.
Journal of Tribology
Tribology and Lubrication Engineering
article

Lubrication characteristics of planar and arc structural water-lubricated bearings under mixed thermal elastohydrodynamic conditions with journal misalignment

Zhenya Xing, Yangyang Liu, Zhiming ZHAO, Xiaoyang Yuan, Peiji Yang
article en

Abstract

Abstract To investigate the steady-state lubrication characteristics of water-lubricated bearings dominated by journal misalignment, this study establishes a mixed thermal elastohydrodynamic lubrication (TEHL) model that comprehensively considers elastic deformation, journal misalignment, asperity contact, and thermal effects, with turbulence corrections introduced. The model is comprehensively validated through comparisons in terms of fluid film pressure and journal misalignment. Based on this model, an in-depth comparison is conducted between planar and arc structural bearings regarding their steady-state lubrication performances, including fluid film pressure, contact state, friction coefficient, and temperature field. The results show that the arc structural bearing forms a more uniform fluid film pressure, effectively suppresses end contact, exhibits lower friction coefficients and operational temperature rise, and demonstrates superior comprehensive steady-state lubrication performance. In contrast, the planar structural bearing is more sensitive to misalignment, leading to localized contact and significant temperature increase. This study elucidates the lubrication mechanisms and performance differences between the two structural bearings under complex working conditions, providing a theoretical basis for the reliability design and structural selection of heavily loaded water-lubricated bearings.

Journal of Tribology
Hubei University of Science and Technology (CN), Jinhua Academy of Agricultural Sciences (CN), China XD Group (China) (CN)
Clean water and sanitation
Openalex Percentile: Top 9%
Tribology and Lubrication Engineering
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.