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DOI: 10.1615/ICHMT.2004.RAD-4.540
11 pages

Liangyu Wang
The Pennsylvania State University, Department of Mechanical and Nuclear Engineering, University Park, PA 16802 USA

S. R. Turns
The Pennsylvania State University, Department of Mechanical and Nuclear Engineering, University Park, PA 16802 USA


Much progress has been made in radiative heat transfer modeling with respect to treatment of nongray radiation from both gas species and soot particles, while radiation modeling in turbulent flame simulations is still in its infancy. Aiming at reducing this gap, this paper introduces sophisticated models of soot and gas-phase radiation to turbulent flame simulations. The full-spectrum k-distribution method is implemented into a three-dimensional unstructured CFD code for nongray radiation modeling. The mixture full-spectrum k-distributions including nongray absorbing soot particles are constructed from a narrow-band k-distribution database created for individual gas-phase species, and an efficient scheme is employed for the construction in complex CFD simulations. A detailed reaction mechanism including NOx and soot kinetics is used to predict flame structure. A detailed soot model with method of moments is employed to determine soot particle size distributions. An oxygen-enriched, turbulent, nonpremixed jet flame is simulated, which features large concentrations of gas-phase radiating species and soot particles. Nongray soot modeling is shown to be of greater importance than nongray gas modeling in sooty flame simulations, with gray soot models producing large errors. The nongray treatment of soot strongly influences flame temperatures in the upstream and the flame tip region and is essential for accurate predictions of NO formation in sooty flames. The nongray treatment of gases, however, weakly influences upstream flame temperatures and, therefore, has only a small effect on NOx predictions. The effect of nongray soot radiation on flame temperature is also substantial in downstream regions where the soot concentration is small.

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