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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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Surface Roughness Standards, Obtained with the Scanning Tunneling Microscope Operated at Atmospheric Air Pressure
TL;DR: In this article, a standardization procedure for surface microstructure was proposed to characterize surface areas in the micrometer and submicrometre range, which were termed "granular roughness" and "microroughness".
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Deformation of single and multiple asperities on metal surfaces
A.H. Uppal,S.D. Probert +1 more
TL;DR: In this paper, single and multi-asperity models were separately deformed by being pressed against a relatively hard flat surface, and the deformation ratio exceeded 0.5.
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Study of surface roughness using microdensitometer analysis of electron micrographs of surface replicas. II: Autocovariance functions
TL;DR: In this article, the autocovariance functions for rough surfaces of magnesium and silver deposits are deduced from surface profiles previously determined by using micro-densitometer analysis of micrographs of surface-shadowed carbon replicas.
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Machinability of fiber-reinforced thermoplastics in drilling
Hong Hocheng,H. Y. Puw +1 more
TL;DR: In this article, the authors reveal the machinability of an example of carbon fiber-reinforced ABS (Acrylonitrile Butadiene Styrene) in drilling compared to representative metals and thermoset-based composites.
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IR spectroscopy of adsorbed dinitrogen: a sensitive probe of defect sites on Pt(111)
TL;DR: In this paper, Fourier transform infrared reflection absorption spectroscopy (FT-IRAS) was used to probe the non-dissociative adsorption of N2 on an atomically clean Pt(111) single crystal.