This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/33771 in citations.
Please use the identifier: http://dx.doi.org/10.1007/s40544-020-0438-4 in citations.
Multiscale study of the dynamic friction coefficient due to asperity plowing
Multiscale study of the dynamic friction coefficient due to asperity plowing
A macroscopically nominal flat surface is rough at the nanoscale level and consists of nanoasperities. Therefore, the frictional properties of the macroscale-level rough surface are determined by the mechanical behaviors of nanoasperity contact pairs under shear. In this work, we first used molecula...
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Personal Name(s): | Hu, Jianqiao |
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Song, Hengxu (Corresponding author) / Sandfeld, Stefan / Liu, Xiaoming (Corresponding author) / Wei, Yueguang | |
Contributing Institute: |
Materials Data Science and Informatics; IAS-9 |
Published in: | Friction, 9 (2021) 4, S. 822 - 839 |
Imprint: |
Heidelberg
Springer
2021
|
DOI: |
10.1007/s40544-020-0438-4 |
Document Type: |
Journal Article |
Research Program: |
A Multiscale Dislocation Language for Data-Driven Materials Science Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.1007/s40544-020-0438-4 in citations.
A macroscopically nominal flat surface is rough at the nanoscale level and consists of nanoasperities. Therefore, the frictional properties of the macroscale-level rough surface are determined by the mechanical behaviors of nanoasperity contact pairs under shear. In this work, we first used molecular dynamics simulations to study the non-adhesive shear between single contact pairs. Subsequently, to estimate the friction coefficient of rough surfaces, we implemented the frictional behavior of a single contact pair into a Greenwood-Williamson-type statistical model. By employing the present multiscale approach, we used the size, rate, and orientation effects, which originated from nanoscale dislocation plasticity, to determine the dependence of the macroscale friction coefficient on system parameters, such as the surface roughness, separation, loading velocity, and direction. Our model predicts an unconventional dependence of the friction coefficient on the normal contact load, which has been observed in nanoscale frictional tests. Therefore, this model represents one step toward understanding some of the relevant macroscopic phenomena of surface friction at the nanoscale level. |