An analytical prediction of dynamic friction coefficient between rough surfaces considering adhesion forces

被引：0
作者：
Xin Yu [1 ]
Yunyun Sun [1 ]
Shijing Wu [1 ]
机构：
[1] School of Power and Mechanical Engineering, Wuhan University, Wuhan
来源：
Journal of Mechanical Science and Technology | 2025年 / 39卷 / 5期
基金：
中国国家自然科学基金;
关键词：
Adhesion; Fractal method; Friction coefficient; Surface roughness;
D O I：
10.1007/s12206-025-0435-7
中图分类号：
学科分类号：
摘要：
An analytical model of dynamic friction coefficient is established to predict the friction coefficient between machined rough surfaces. The adhesion forces are taken into account to revise the normal contact behavior. The model couples the length scale with the real contact area of a single asperity to determine the normal contact force. The adhesive force of elastoplastic contact is modeled, which is more suitable for engineering prediction. The friction force is calculated based on area distribution, leading to an explicit analytical expression for the friction coefficient between machined rough surfaces. Using this analytical method, the variation of the friction coefficient with surface morphologies, external normal loads, and material properties is analyzed. The results show that fractal factors have non-monotonic effects on the friction coefficient, and the friction coefficient increases nonlinearly with the external normal load. © The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2025.
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页码：2753 / 2766
页数：13
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