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DOI: 10.1615/ICHMT.2004.RAD-4.430
9 pages

Frederic Andre
Univ Lyon, CNRS, INSA-Lyon, Universite Claude Bernard Lyon 1, CETHIL UMR5008, F-69621, Villeurbanne, France

Rodolphe Vaillon
Centre de Thermique de Lyon (CETHIL, CNRS/INSA Lyon/UCBL), Domaine Scientifique de La Doua, 20 av. A. Einstein, 69621 Villeurbanne Cedex, France

Isil Ayranci
Department of Chemical Engineering, Middle East Technical University, 06531 Ankara, TURKEY; Centre de Thermique de Lyon (CETHIL CNRS-INSA Lyon-UCBL), Bât. Sadi Carnot, INSA-Lyon, F-69621, France

Dany Escudie
Centre de Thermique de Lyon (CETHIL CNRS-INSA Lyon-UCBL), INSA de Lyon, 69621 Villeurbanne, France

Nevin Selcuk
Chemical Engineering Department, Middle East Technical University, 06531 Ankara, Turkey


An optical diagnostic technique based on radiative transfer simulations is developed to infer characteristics of sooting flames from in-situ low resolution emission Fourier Transform Spectroscopy. The direct modeling is comprised of the application of a Statistical Narrow Band - Curtis Godson (SNB-CG) model for radiative properties of gases and the Rayleigh-Debye-Gans Polydisperse Fractal Aggregate (RDG-PFA) approximation for properties of soot particles and a solution of an integral formulation of the Radiative Transfer Equation (RTE). A Genetic Algorithm (GA) is used for the inverse analysis. The method is found to be accurate through the retrieval of temperature, gas concentrations and volume fraction of soot particles in the case of data simulated in the [900; 5000] cm−1 infrared spectral range. A preliminary application of the technique to experimental FTIR emission spectra of a laminar ethylene-air diffusion flame is demonstrated.

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