In the present investigation, two different approaches are applied to model scattering and absorption properties occurring in particle radiation interaction for numerical simulation of pulverized coal combustion. The first approach is a modified version of the well known Henyey-Greenstein phase function. For the second approach, artificial neural networks are applied. To determine averaged scattering and absorption properties, an averaging procedure over the spectral incident radiation profile and a particle size distribution is applied. These properties are then approximated be the proposed modeing approaches. Finally, the proposed modeling approaches are compared to a table interpolation with regard to memory requirement and approximation accuracy.
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