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Quantitative characterization of micro-topography a bibliography of industrial surface metrology
R.J. Pike,T.R. Thomas +1 more
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In this article, the authors propose a 3.3-approximation algorithm for the 3.1-GHz bandit-16.3 GHz frequency bandit model, andAbstract:
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Surface roughness measurement by means of speckle wavelength decorrelation
M. Giglio,S. Musazzi,U. Perini +2 more
TL;DR: In this article, the authors exploit speckle wavelength decorrelation techniques for the characterization of surface roughness up to a few microns, using an argon laser, a grating, two photodetectors, and a commercial cross correlator.
Journal ArticleDOI
Digital Terrain Modeling and Industrial Surface Metrology: Converging Realms
TL;DR: In this article, the authors introduce industrial surface metrology, examines the field in the context of terrain modeling a.k.a. surface topography of manufactured components, exemplified by automobile-engine cylinders, is routinely modeled by variogram analysis, relief shading, and most other techniques of parameterization and visualization familiar to geography.
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Interdependence of Amplitude Roughness Parameters on Rough Gaussian Surfaces
TL;DR: The numerical analysis of 17 standardized amplitude roughness parameters collected from 90000 computer-generated rough surfaces revealed so far undetected interdependencies among some of these parameters, namely the results show a strong linear relation between 12 amplituderoughness parameters.
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Digital terrain modelling and industrial surface metrology — converging crafts
TL;DR: This paper introduces terrain modelling and compares it with metrology, noting their differences and similarities and one of the many issues common to both disciplines.
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Nano-metrology and terrain modelling - convergent practice in surface characterisation
TL;DR: In this paper, the authors introduce terrain modelling, discuss its similarities to and differences from industrial surface metrology, and raise the possibility of a unified discipline of quantitative surface characterisation, and exemplify a multivariate statistical procedure that may transfer to tribological applications of 3-D metrological height data.
References
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Fractal analysis of scanning probe microscopy images
TL;DR: The accuracy and precision of several algorithms, including newly developed, for calculating the fractal dimension from scanning probe microscopy images of material surfaces are investigated in this article, and the results show that these two methods give reliable fractal dimensions and are well suited to describe surface roughness quantitatively.
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Hydraulic Roughness Coefficients for Native Rangelands
TL;DR: In this paper, a subfactor-based regression technique for estimating hydraulic roughness coefficients for shallow overland flow was developed from simulated rainfall runoff plots originally collected for erosion st...
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Fractal roughness in contact problems
Feodor M. Borodich,A.B. Mosolov +1 more
TL;DR: In this paper, a relation between the fractal dimension of a surface and its statistical properties was found between the power index and fractal dimensions of the surface and the print, and asymptotic power laws were obtained to associate the force operating on the punched and the depth of indentation.
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A Numerical Model for the Contact of Layered Elastic Bodies With Real Rough Surfaces
S. J. Cole,R. S. Sayles +1 more
TL;DR: In this article, a numerical model for the two-dimensional dry, frictionless contact of two elastic bodies with real rough surfaces, where one body has a rigidly bonded surface layer, is presented.
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Pile Skin Friction in Sands from Constant Normal Stiffness Tests
TL;DR: In this paper, the effects of interface roughness, normal stiffness, soil relative density, initial normal stress, and cyclic displacement amplitude on the soil interface response were investigated in model and full-scale piles.