Radiative properties of materials with surface scattering or volume scattering: A review

Abstract

Radiative properties of rough surfaces, particulate media and porous materials are important in thermal engineering and many other applications. These properties are often needed for calculating heat transfer between surfaces and volume elements in participating media, as well as for accurate radiometric temperature measurements. In this paper, recent research on scattering of thermal radiation by rough surfaces, fibrous insulation, soot, aerogel, biological materials, and polytetrafluoroethylene (PTFE) is reviewed. Both theoretical modeling and experimental investigation are discussed. Rigorous solutions and approximation methods for surface scattering and volume scattering are described. The approach of using measured surface roughness statistics in Monte Carlo simulations to predict radiative properties of rough surfaces is emphasized. The effects of various parameters on the radiative properties of particulate media and porous materials are summarized.

Reflectance of polytetrafluoroethylene for xenon scintillation light

“…These include both empirical and physically motivated models [12]. They often stem from the field of computer graphics, aiming at reproducing the reflectance functions of real objects, which is of paramount importance for perception in virtual reality environments.…”

Fundamentals and Applications of Near-Field Radiative Energy Transfer

“…Controlling the radiative properties has important applications in photonic and energy conversion systems such as solar cells and solar absorbers, thermophotovoltaic (TPV) devices, radiation filters, selective emitters, photodetectors, semiconductor processing, and optoelectronics Basu et al, 2007;Zhang et al, 2003;Zhu et al, 2009). The performance of various devices can be greatly enhanced by the modification of the reflection, transmission, absorption and emission spectra using one-, two-, or three-dimensional micro/nanostructures.…”

Modeling Bidirectional Reflectance Distribution Function of One-dimensional Random Rough Surfaces with the Finite Difference Time Domain Method

“…The surface temperature of the tested object is calculated from the amount of radiation received and the known surface emissivity of the object. Any roughness created on the surface being tested by polishing will severely alter the surface emissivity and lead to errors in temperature a lower yield [3], 3. Since the absorptivity of materials can be enhanced by surface roughness, rough surfaces are fabricated on Si substrates by nano processing to achieve higher absorptivity in crystalline Si solar cells [4,5].…”