1995
DOI: 10.1366/0003702953964165
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Application of the Kubelka-Munk Theory to Thickness-Dependent Diffuse Reflectance of Black Paints in the Mid-IR

Abstract: The Kubelka-Munk theory is applied to the thickness-dependent diffuse reflectance of black-painted samples in the mid-IR. The calculated absorption and scattering coefficients are wavenumber-dependent. The reflectance of the nonideal backing also shows spectral features, which is attributed to the reflections from the boundary surface between the scattering medium and the substrate. The spectral dependence of scattering penetration depth is caused by the scattering and absorption processes. At some wavenumbers… Show more

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Cited by 24 publications
(8 citation statements)
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“…The reflectance R(λ) of a film on a substrate can be predicted via these KM coefficients as [27,30,31]…”
Section: Kubelka-munk Theorymentioning
confidence: 99%
“…The reflectance R(λ) of a film on a substrate can be predicted via these KM coefficients as [27,30,31]…”
Section: Kubelka-munk Theorymentioning
confidence: 99%
“…Many radiative transfer models have been used for inverting optical measurements to obtain the spectral variation of effective scattering and absorption coefficients. The Kubelka-Munk model was used to obtain S and K from diffuse reflectance measurements of paints containing submicron sized black carbon or FeMnCuO x particles [24] and of TiO 2 pigmented paints [25]. An extended Kubelka-Munk approach [26] has been used to retrieve scattering and absorption coefficients of suspended particle devices [14,27] and nanoparticle-polymer composites [28].…”
Section: Introductionmentioning
confidence: 99%
“…Yet, these may be calculated from the diffuse reflectance R. Since the Kubelka-Munk function is only correct for infinitely thick samples, i.e., they must not transmit any light, the diffuse reflectance is denoted as R ∞ for clarity. Depending on the material and the interparticle distance, this condition is typically met after a few (sub-)millimeters [15,21,33,62,[143][144][145][146].…”
Section: Theoretical Background and Simulationsmentioning
confidence: 99%