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Phenomenological BRDF modeling for engineering applications

The application of analytical light scattering techniques for virtual prototyping the optical performance of paint coatings provides an effective tool for optimizing paint design for specific optical requirements. This paper describes the phenomenological basis for the scattering coatings computer aided design (ScatCad) code. The ScatCad code predicts the bidirectional reflectance distribution function (BRDF) and the hemispherical directional reflectance (HDR) of pigmented paint coatings for the purpose of coating design optimization. The code uses techniques for computing the pigment single scattering phase function, multiple scattering radiative transfer, and rough surface scattering to calculate the BRDF and HDR based on the fundamental optical properties of the pigment(s) and binder, pigment number density and size distribution, and surface roughness of the binder-interface and substrate. This is a significant enhancement to the two- flux, Kubelka-Munk analysis that has traditionally been used in the coatings industry. Example calculations and comparison with measurements are also presented.

Phenomenological BRDF modeling for engineering applications

James C. JafollaJeffrey A. Stokes, and Robert J. Sullivan “Phenomenological BRDF modeling for engineering applications”, Proc. SPIE 3141, Scattering and Surface Roughness, (26 September 1997); https://doi.org/10.1117/12.287800

 

Copyright 1997 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.