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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2408.05447 |
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| _version_ | 1866910562769698816 |
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| author | Rodriguez, N. Gontard, L. Ma, C. Xu, R. Persson, B. N. J. |
| author_facet | Rodriguez, N. Gontard, L. Ma, C. Xu, R. Persson, B. N. J. |
| contents | Analytical contact mechanics theories depend on surface roughness through the surface roughness power spectrum. In the present study, we evaluated the usability of various experimental methods for studying surface roughness. Our findings indicated that height data obtained from optical methods often lack accuracy and should not be utilized for calculating surface roughness power spectra. Conversely, engineering stylus instruments and atomic force microscopy (AFM) typically yield reliable results that are consistent across the overlapping roughness length scale region. For surfaces with isotropic roughness, the two-dimensional (2D) power spectrum can be derived from the one-dimensional (1D) power spectrum using several approaches, which we explored in this paper. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_05447 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On how to determine surface roughness power spectra Rodriguez, N. Gontard, L. Ma, C. Xu, R. Persson, B. N. J. Materials Science Soft Condensed Matter Data Analysis, Statistics and Probability Optics Analytical contact mechanics theories depend on surface roughness through the surface roughness power spectrum. In the present study, we evaluated the usability of various experimental methods for studying surface roughness. Our findings indicated that height data obtained from optical methods often lack accuracy and should not be utilized for calculating surface roughness power spectra. Conversely, engineering stylus instruments and atomic force microscopy (AFM) typically yield reliable results that are consistent across the overlapping roughness length scale region. For surfaces with isotropic roughness, the two-dimensional (2D) power spectrum can be derived from the one-dimensional (1D) power spectrum using several approaches, which we explored in this paper. |
| title | On how to determine surface roughness power spectra |
| topic | Materials Science Soft Condensed Matter Data Analysis, Statistics and Probability Optics |
| url | https://arxiv.org/abs/2408.05447 |