2006
DOI: 10.1115/1.2401200
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Modeling the Radiative Properties of Microscale Random Roughness Surfaces

Abstract: The radiative properties of engineering surfaces with microscale surface texture or topography (patterned or random roughness and coating or multi-layer) are of fundamental and practical importance. In the rapid thermal processing or arc/flash-assisted heating of silicon wafers, the control of thermal energy deposition through radiation and the surface temperature measurement using optical pyrometry require in-depth knowledge of the surface radiative properties. These properties are temperature, wavelength, do… Show more

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Cited by 26 publications
(11 citation statements)
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“…Sufficient time steps would also be required so that steady-state results are obtained. However, a long surface and a large number of time steps will significantly increase the computation time [12]. A compromise between solution accuracy and computational time is necessary.…”
Section: Resultsmentioning
confidence: 99%
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“…Sufficient time steps would also be required so that steady-state results are obtained. However, a long surface and a large number of time steps will significantly increase the computation time [12]. A compromise between solution accuracy and computational time is necessary.…”
Section: Resultsmentioning
confidence: 99%
“…Another problem that may arise due to insufficient surface length is the near-to-far-field (NTFF) transformation to obtain the reflectivity property [12]. To demonstrate this problem, the reflection of incident light at θ i = 70 • from surface C was calculated with the NTFF transformation to obtain the bi-directional reflectivity.…”
Section: Resultsmentioning
confidence: 99%
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“…The detailed numerical scheme, periodic boundary treatment, and perfectly matched layer absorbing boundary condition can be found in many references [13,14], so they are not repeated here. Only the essential difference equations are presented below.…”
Section: Numerical Algorithmmentioning
confidence: 99%
“…The interests in random roughness surfaces are quite diverse. For example, we have conducted extensive work on ramifications of microscale roughness surfaces in thermal radiative environment [26][27][28]. The present study is devoted to investigating the mechanism of formation of a road surface mirage with directly measured evidence.…”
mentioning
confidence: 99%