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ANSYS FLUENT provides four models for the prediction of soot formation in combustion systems. In addition, the predicted soot concentration can be coupled with radiation. That is, you can include the effect of soot on radiation absorption when you use the P-1, discrete ordinates, or discrete transfer radiation model with a variable absorption coefficient.
Predicting Soot Formation
ANSYS FLUENT predicts soot concentrations in a combustion system using one of four available models:
The Khan and Greeves model is the default model used by ANSYS FLUENT when you include soot formation.
In the Khan and Greeves model and the Tesner model, combustion of the soot (and particle nuclei) is assumed to be governed by the Magnussen combustion rate [ 216]. Note that this limits the use of these soot formation models to turbulent flows. Both models are empirically-based, approximate models of the soot formation process in combustion systems. The detailed chemistry and physics of soot formation are quite complex and are only approximated in these models. You should view the results of the Khan and Greeves model and the Tesner model as qualitative indicators of your system performance unless you can undertake experimental validation of the results.
The Moss-Brookes model has less impiricism and should theoretically provide superior accuracy than the Khan and Greeves and Tesner models. The Hall extension provides further options for modeling higher hydrocarbon fuels. Note that the Moss-Brookes-Hall model is only available when the required species are present in the gas phase species list.
Restrictions on Soot Modeling
The following restrictions apply to soot formation models: