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Published on: November 6, 2021
Friction dynamics: displacement fluctuations during sliding friction
R Xu1,2,3, F Zhou1, B N J Persson1,2,3
1State Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, 730000 Lanzhou, China.
Investigating sliding block noise reveals power-law behavior. The spring-block model accurately predicts experimental exponents (γ=4) when wear particles are absent, while the wear-particle model can explain exponents up to γ=5.
Area of Science:
- Tribology and Surface Science
- Condensed Matter Physics
- Materials Science
Background:
- Sliding friction generates noise, characterized by fluctuations in block positions.
- Understanding this noise is crucial for predicting material wear and system stability.
- Previous models have not fully captured the observed low-frequency power-law behavior of friction noise.
Purpose of the Study:
- To investigate the power spectra of noise in sliding blocks made of rubber and PMMA.
- To compare experimental results with predictions from three distinct interfacial interaction models.
- To elucidate the mechanisms governing low-frequency noise in sliding systems.
Main Methods:
- Experimental measurement of position fluctuations for sliding blocks under constant force.
- Analysis of noise power spectra to identify power-law behavior (ω^-γ).
- Comparison of experimental data with simulations and analytical predictions from spring-block, asperity-force, and wear-particle models.
Main Results:
- Observed power-law noise spectra with exponents γ between 4 and 5 for all tested systems.
- The spring-block model accurately predicted γ=4 in the absence of wear particles.
- The asperity-force model's prediction (γ=6) deviated from experiments, likely due to neglecting load redistribution.
Conclusions:
- The spring-block model provides a good description of sliding noise when wear particles are not a factor.
- The wear-particle model can reproduce observed exponents, including 1/f noise (γ=5), under specific conditions.
- Interfacial dynamics, including load redistribution and wear particle behavior, significantly influence friction noise characteristics.
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