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Spectral wear modelling of rubber friction on a hard substrate with large surface roughness

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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 Greenwood–Williamson 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
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