Cross Scale Tribological Behavior of Textured High-Entropy Alloy Coatings

This paper presents a cross-scale model for predicting the tribological behavior of textured coatings made of high-entropy alloys. The research methodology includes molecular dynamic modeling, a modified fractal surface model, and the Green's method with fast Fourier transform. The main results demonstrate the existence of an optimal range of parameters: a fractal dimension of 2.45–2.55 and a texturing density of 15–20%, which reduces the coefficient of friction to 40% compared with untextured surfaces. The practical significance of the work lies in the creation of a theoretical basis for the integrated design and forecasting of the tribological properties of high-entropy coatings.

Authors

Institutions

Publication Details

Journal
Lubricants
Published
2026-05-19
DOI
https://doi.org/10.3390/lubricants14050209
Primary Topic
Adhesion, Friction, and Surface Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross Scale Tribological Behavior of Textured High-Entropy Alloy Coatings

Yazhou Mao, Aoya Wang, Linlin Guo, Zixuan Wangan et al.
Lubricants
Adhesion, Friction, and Surface Interactions
article

Cross Scale Tribological Behavior of Textured High-Entropy Alloy Coatings

Yazhou Mao, Aoya Wang, Linlin Guo, Zixuan Wangan, Ruiyi Ma
article en

Abstract

This paper presents a cross-scale model for predicting the tribological behavior of textured coatings made of high-entropy alloys. The research methodology includes molecular dynamic modeling, a modified fractal surface model, and the Green's method with fast Fourier transform. The main results demonstrate the existence of an optimal range of parameters: a fractal dimension of 2.45–2.55 and a texturing density of 15–20%, which reduces the coefficient of friction to 40% compared with untextured surfaces. The practical significance of the work lies in the creation of a theoretical basis for the integrated design and forecasting of the tribological properties of high-entropy coatings.

LubricantsVol. 14(5)
Shaoxing University (CN), Henan University of Engineering (CN)
Openalex Percentile: Top 8%
Adhesion, Friction, and Surface Interactions
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.