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On How to Determine Surface Roughness Power Spectra
by
Xu, R.
, Ma, C.
, Gontard, L.
, Rodriguez, N.
, Persson, B. N. J.
in
Chemistry and Materials Science
/ Corrosion and Coatings
/ Crack propagation
/ Engineering
/ Experimental methods
/ Materials Science
/ Mechanics
/ Microscopy
/ Nanotechnology
/ Optics
/ Original Paper
/ Physical Chemistry
/ Power spectra
/ Research methodology
/ Styli
/ Surface roughness
/ Surfaces and Interfaces
/ Theoretical and Applied Mechanics
/ Thin Films
/ Topography
/ Tribology
2025
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On How to Determine Surface Roughness Power Spectra
by
Xu, R.
, Ma, C.
, Gontard, L.
, Rodriguez, N.
, Persson, B. N. J.
in
Chemistry and Materials Science
/ Corrosion and Coatings
/ Crack propagation
/ Engineering
/ Experimental methods
/ Materials Science
/ Mechanics
/ Microscopy
/ Nanotechnology
/ Optics
/ Original Paper
/ Physical Chemistry
/ Power spectra
/ Research methodology
/ Styli
/ Surface roughness
/ Surfaces and Interfaces
/ Theoretical and Applied Mechanics
/ Thin Films
/ Topography
/ Tribology
2025
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
On How to Determine Surface Roughness Power Spectra
by
Xu, R.
, Ma, C.
, Gontard, L.
, Rodriguez, N.
, Persson, B. N. J.
in
Chemistry and Materials Science
/ Corrosion and Coatings
/ Crack propagation
/ Engineering
/ Experimental methods
/ Materials Science
/ Mechanics
/ Microscopy
/ Nanotechnology
/ Optics
/ Original Paper
/ Physical Chemistry
/ Power spectra
/ Research methodology
/ Styli
/ Surface roughness
/ Surfaces and Interfaces
/ Theoretical and Applied Mechanics
/ Thin Films
/ Topography
/ Tribology
2025
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Journal Article
On How to Determine Surface Roughness Power Spectra
2025
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Overview
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.
Graphical Abstract
Publisher
Springer US,Springer Nature B.V
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