Influence of Geometric Parameters on Journal Bearing Wear: A Finite Element Analysis and Elastic Foundation Approach

This study investigates the influence of geometric parameters on wear of journal bearings within a multibody system framework. While extensive research has explored the impact of wear on journal bearing performance, limited attention has been given to the role of geometric parameters in wear progression. To address this gap, this study examines the effects of bushing depth, internal and external bushing diameters, and bushing rim thickness on wear in a non-lubricated journal bearing joint within a slider–crank mechanism. The joint consists of a 347 stainless steel journal and a PTFE bushing operating under moderate loading conditions (0.25 MPa to 5 MPa) and low sliding velocities (1 mm/s to 10 mm/s). Wear predictions are conducted using the elastic foundation model (EFM) and finite element method (FEM), with multibody dynamics analysis providing joint force estimations. The results from both approaches reveal that (1) increasing bushing depth reduces both wear volume and maximum wear depth, (2) bushing outer diameter has little to no effect on wear volume and maximum wear depth, (3) smaller bushing rim thicknesses lead to greater wear volume, and (4) larger bushing depths reduce both wear volume and maximum wear depth. Consequently, it is recommended that journal bearings designed to minimize wear should have smaller inner diameters, with attention to the stress effects on the journal due to the reduced diameter. Additionally, small bushing rim thicknesses should be avoided, and larger bushing depths should be considered to reduce wear. These insights contribute to the optimization of journal bearing design for improved durability and performance in mechanical systems.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-02-22
DOI
https://doi.org/10.3390/app15052368
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

Influence of Geometric Parameters on Journal Bearing Wear: A Finite Element Analysis and Elastic Foundation Approach

Saad M. S. Mukras
Applied Sciences
Tribology and Lubrication Engineering
article

Influence of Geometric Parameters on Journal Bearing Wear: A Finite Element Analysis and Elastic Foundation Approach

Saad M. S. Mukras
article en

Abstract

This study investigates the influence of geometric parameters on wear of journal bearings within a multibody system framework. While extensive research has explored the impact of wear on journal bearing performance, limited attention has been given to the role of geometric parameters in wear progression. To address this gap, this study examines the effects of bushing depth, internal and external bushing diameters, and bushing rim thickness on wear in a non-lubricated journal bearing joint within a slider–crank mechanism. The joint consists of a 347 stainless steel journal and a PTFE bushing operating under moderate loading conditions (0.25 MPa to 5 MPa) and low sliding velocities (1 mm/s to 10 mm/s). Wear predictions are conducted using the elastic foundation model (EFM) and finite element method (FEM), with multibody dynamics analysis providing joint force estimations. The results from both approaches reveal that (1) increasing bushing depth reduces both wear volume and maximum wear depth, (2) bushing outer diameter has little to no effect on wear volume and maximum wear depth, (3) smaller bushing rim thicknesses lead to greater wear volume, and (4) larger bushing depths reduce both wear volume and maximum wear depth. Consequently, it is recommended that journal bearings designed to minimize wear should have smaller inner diameters, with attention to the stress effects on the journal due to the reduced diameter. Additionally, small bushing rim thicknesses should be avoided, and larger bushing depths should be considered to reduce wear. These insights contribute to the optimization of journal bearing design for improved durability and performance in mechanical systems.

Applied SciencesVol. 15(5)
Qassim University (SA)
Openalex Percentile: Top 97%
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.