Study on the Effect of Fretting Wear Behavior with Consideration of Three-Dimensional Non-Gaussian Surfaces

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Authors: Wang Zhang, Ling Li, Gai Chen, Xiaodi Zhang, Yao Li, Jingjing Wang
Cited by: 0
References: 46

Abstract

The mechanical joint surface is commonly simplified as smooth or Gaussian-distributed, while its actual non-Gaussian characteristics significantly affect fretting wear behavior. A non-Gaussian fretting wear model, characterized by the three-dimensional morphology of actual machined surfaces, is established to accurately reveal the fretting wear mechanism of joint interfaces. First, the fast Fourier transform is adopted to construct non-Gaussian surface models consistent with actual surface characteristics. Second, the non-Gaussian surface fretting wear model is developed through ABAQUS and the UMESHMOTION wear subroutine. Finally, the effects of kurtosis, skewness, standard deviation, material properties, and friction coefficient are explored. The conclusions illustrate that non-Gaussian surfaces demonstrating positive skewness and high kurtosis exhibit the most pronounced local stress concentration and maximum wear depth compared to smooth and Gaussian surfaces. Non-Gaussian surfaces exhibiting negative skewness and low kurtosis demonstrate more uniform stress distribution and better wear resistance under identical conditions. The wear depth in the non-Gaussian surface increases significantly with rising the standard deviation, elastic modulus of materials, and friction coefficients.

Fields of Study & Subjects

Mechanical stress and fatigue analysis Electrical Contact Performance and Analysis Tribology and Lubrication Engineering

Publication details

Journal / source
Tribology Transactions
Volume
69
Issue
3
Pages
457–477
Publication date
28 January 2026
Language
EN