Fast reconstructing two-dimensional temperature distribution in participating media with different surfaces conditions

• Published in: Infrared physics & technology 2019-12, Vol.103, p.103080, Article 103080
• Main Authors: Gao, Bao-Hai, Qi, Hong, Yin, Yan-Mei, Wei, Lin-Yang, Ren, Ya-Tao
• Format: Article
• Language: English
• Subjects: Directional radiative signals; Participating media; Radiation distribution factors; Temperature reconstruction
• ISSN: 1350-4495; 1879-0275
• DOI: 10.1016/j.infrared.2019.103080

•Fast reconstruct temperature fields by an improved RMC method base on radiation distribution factor.•The transparent, specular, diffuse and BRDF surfaces are considered.•Effects of measurement error and boundary conditions on reconstruction results are analyzed. The reverse Monte Carlo ray tracing technique (RMCRT) based on radiation distribution factor is applied to obtain high resolution directional radiative signals for solving the radiation transfer process and reconstructing the temperature distribution. The rigorous formula derivation shows that the radiation intensity in any direction at any position is only related to the radiation distribution factors (RDFs) if the temperature profiles is known, while the RDFs is only related to the physical properties and geometric parameters of the medium. The exact solution of one-dimensional parallel-plane gray medium is employed to validate the correctness of the RMCRT. Furthermore, it is successfully employed to reconstruct the two-dimensional temperature distribution of participating media with transparent, specular, diffuse and BRDF surfaces. Since the RDFs database is only related to the physical model and needs to be calculated once in advance, the temperature reconstruction is particularly fast and efficient. All the results show that the accuracy and efficiency of the single-peak temperature reconstruction on transparent surface is better than that of other combination of temperature field and surfaces.