2019
DOI: 10.3390/ma12193090
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Surface Roughness Effects on the Broadband Reflection for Refractory Metals and Polar Dielectrics

Abstract: Random surface roughness and surface distortions occur inevitably because of various material processing and fabrication techniques. Tailoring and smoothing the surface roughness can be especially challenging for thermomechanically stable materials, including refractory metals, such as tungsten (W), and polar dielectrics, such as silicon carbide (SiC). The spectral reflectivity and emissivity of surfaces are significantly impacted by surface roughness effects. In this paper, we numerically investigated the sur… Show more

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Cited by 20 publications
(8 citation statements)
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“…Random surface roughness and surface distortions occur inevitably because of various material processing and fabrication techniques which might affect the absorption peak [50,51]. Based on our previous experiences [34], these factors would not have a significant effect on the performance if an accurate fabrication process is used.…”
Section: Discussion and Resultsmentioning
confidence: 99%
“…Random surface roughness and surface distortions occur inevitably because of various material processing and fabrication techniques which might affect the absorption peak [50,51]. Based on our previous experiences [34], these factors would not have a significant effect on the performance if an accurate fabrication process is used.…”
Section: Discussion and Resultsmentioning
confidence: 99%
“…In reality, different types of surface defects and roughness can manifest while using mechanical machining or material synthesizing processes, which result in different PSD spectra. Surface roughness is one of the important factors affecting the reflectivity/emissivity due to the incident angle change on different facets [ 52 ]. In the current study, random texture geometries are characterized by their statistical properties, height distribution, and correlation length.…”
Section: Methodsmentioning
confidence: 99%
“…Tailoring the surface conditions is especially challenging for thermo-mechanically stable materials, including refractory metals, such as tungsten (W), and polar dielectrics, such as silicon carbide (SiC). Hence, recent numerical modelling of the surface roughness has focused on the effects on the spectral reflectivity and emissivity of such materials and shows a strong dependency on the correlation length of the Gaussian surface, (Cao and Sendur, 2019). Interface engineering optimisation occurs largely through trial and error (Röttger et al, 2022), Röttger et al define three central challenges that account for this disconnect: i) the fusion of many different types of measurement for the same surface to capture the multi-scale nature of roughness; ii) the technical complexity of implementing spectral analysis methods, and of applying mechanical or numerical models to describe surface performance; iii) a lack of consistency and compliance with ISO standards in how surfaces are measured, quantified, and communicated.…”
Section: Interface Engineeringmentioning
confidence: 99%