Spectral wear modelling of rubber friction on a hard substrate with large surface roughness
收藏DataONE2023-12-18 更新2024-06-08 收录
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Soft-hard matter friction is a long-standing tribology problem that remains unclarified, requiring engineers to empirically predict the wear life. To clarify this issue, this study examines the transient running-in regime of rubber friction on a hard rough substrate and models the temporal wear progression using the spectrum curves of surface roughness for both materials. Performing a series of friction tests and three-dimensional surface-height measurements, the time-dependent behaviours of the power spectral densities (PSDs) are divided into two phases, namely the initial non-steady and long-term steady phases. The detailed spectral analyses of worn rubber surfaces in the initial phase lead to a blended PSD function between self-affine and K-correlation surface models, consisting of one variable (the Hurst exponent) that is saturated by the substrate self-affinity. Supported by the GreenwoodâWilliamson theory concerning rough contact mechanics, the volumetric estimate with the blended..., , , # Data from: Spectral wear modelling of rubber friction on a hard substrate with large surface roughness
Structure:
Section2.zip
\|- 2_1/
\| |- fig/
\|- 2_2/
\|- 2_3/
\| |- Python/
\| | |- fig/
\| |- Rubber2/
\| |- Rubber11/
\| |- Rubber16/
\| |- Rubber17/
\| |- Rubber20/
\| |- Rubber21/
Section3.zip
\|- 3_2/
\| |- PSDcalc/
\|- 3_3/
\| |- fig_matlab/
\| |- PSDcalc/
\|- 3_4/
\| |- fig_matlab/
Section4.zip
\|- 4_1/
\| |- fig_matlab/
Section5.zip
\|- 5_2/
\| |-fig_matlab/
Appendix.zip
\|- A/
\| |- Grindstone_surfaces/
\| | |- All_images_grindstone_40x
\| | |- All_images_grindstone_400x
\| |- Worn_rubber_surfaces/
\| | |- All_images_Rubber21_12x
\| | |- All_images_Rubber21_40x
\| | |- All_images_Rubber21_400x
\|- D/
Abbreviations:
Power Spectral Density (PSD)
Coefficient of Friction (COF)
Usage notes:
(1) These datasets include the experimental and numerical data (excel or csv files), the source codes of the MATLAB and Python programs, and the generated figure files. The file st...
创建时间:
2025-07-25



