2005
DOI: 10.1117/12.617637
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An experimental study of the correlation between surface roughness and light scattering for rough metallic surfaces

Abstract: We present an experimental study of the angular distribution of light scattered from several rough metallic surfaces, which cover a range of roughness conditions. The substrate materials are steel or glass; roughened by bead-blasting, grinding, or etching; and aluminum-coated. The measured surface-roughness statistics are filtered by using a composite roughness model. The raw mechanical roughnesses range from 0.21µm to 2.66µm; the high-frequency small-scale roughnesses range from 0.13µm to 0.86µm. The optical … Show more

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Cited by 18 publications
(8 citation statements)
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“…The surface roughness correlation function is given in Fig. 27 (taken from [42]). The corresponding eigenspectrum is given in Fig.…”
Section: Natural Convection With Random Boundary Topology: Large Dimementioning
confidence: 99%
“…The surface roughness correlation function is given in Fig. 27 (taken from [42]). The corresponding eigenspectrum is given in Fig.…”
Section: Natural Convection With Random Boundary Topology: Large Dimementioning
confidence: 99%
“…While many surfaces do exhibit fractal roughness, a description with Gaussian statistics is a well-accepted approximation of rough surfaces, see e.g. Li and Torrance (2005) . Apart from the different statistics of the surface roughness, the GW model is built on numerous simplifying assumptions and therefore has limitations in comparison with Persson's theory.…”
Section: Introductionmentioning
confidence: 99%
“…For a smooth surface, = ∞ l s . Random roughness with Gaussian statistics is a well-accepted approximation of many real rough surfaces (Li and Torrance, 2005). An example of a randomly rough surface generated numerically with the method of Garcia and Stoll (1984) is shown in Fig.…”
Section: Rough Surfacesmentioning
confidence: 99%