Evidence map›Paper›PMID 42091992›Full record

ArticleScientific reports2026

Transient micro-elastohydrodynamic lubrication analysis of gear meshing interfaces with texture geometric parameters.

Weiqiang Zou, Xigui Wang, Yongmei Wang, Jiafu Ruan

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Weiqiang ZouSchool of Mechatronics and Automation, Huaqiao University, No. 668 Jimei Avenue, Jimei District, Xiamen, 361021, China.
Xigui WangSchool of Mechatronics and Automation, Huaqiao University, No. 668 Jimei Avenue, Jimei District, Xiamen, 361021, China. wyr20091207@163.com.
Yongmei WangSchool of Motorcar Engineering, Heilongjiang Institute of Technology, No. 999, Hongqidajie Road, Daowai District, Harbin, 150036, China.
Jiafu RuanSchool of Mechatronics and Automation, Huaqiao University, No. 668 Jimei Avenue, Jimei District, Xiamen, 361021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address gear pair Anti-Scuffing Load-Bearing Capacity (ASLBC), this study establishes a Thermal Elastohydrodynamic Lubrication (TEHL) model incorporating elastic deformation of Micro-Convex-Concave Asperity (MCCA) interfaces. The model analyzes sliding velocities and frictional behavior of Micro-Element Texture (MET) under transient thermal excitation. Based on homogenization theory, numerical simulations of MCCA contact and transient sliding friction are conducted to investigate the effects of MET parameters, specifically area ratio and depth-to-diameter ratio, on Interface Enriched Lubrication (IEL). A time-dependent micro-elastohydrodynamic IEL model with MET configuration is developed and solved using a multi-level mesh refinement algorithm to examine the influence of autocorrelation length and MCCA amplitude on IEL performance. A correlation model linking MET parameters to interface load-bearing performance is established to identify optimal MET features for ASLBC enhancement. Comparative analysis between traditional Univariate Sensitivity Analysis (USA) and Multivariate Linear Regression (MLR) demonstrates that MLR enables broader parameter optimization and captures coupling effects among micro-texture parameters. Micro-textures with varying dimensions, area ratios, depths, and geometries are designed and evaluated using both USA and MLR. While both methods identify optimal parameters, the MLR achieves superior friction reduction. The USA-optimized Transverse Slit MET (500 μm dimension, 40% area ratio, 5.0 μm depth) delivers a load-bearing capacity of 1.163 MPa and friction coefficient of 0.0686, representing an 11.6% reduction compared to untextured surfaces. MLR optimization yields identical geometric parameters but further reduces the friction coefficient to 0.0679, corresponding to a 13.7% reduction versus untextured interfaces and a 4.58% improvement over the USA-optimized configuration.

Indexed as

Anti-scuffing load-bearing capacityInterface enriched lubricationMicro-convex-concave asperityMicro-element textureMultivariate linear regressionSingle factor analysisTextured meshing interface

Identifiers

PMID42091992
PMCPMC13338122

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.