Simulating turbulence–radiation interactions using a presumed probability density function method

•TRI are studied using a presumed-PDF methodtogether with a PMC-LBL radiation model.•An efficient wavenumber selection scheme isproposed for the PMC-LBL model with TRI.•Impact of absorption coefficientself-correlation is investigated. In turbulent combustion, the turbulent fluctuations of temperatur...

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Veröffentlicht in:International journal of heat and mass transfer 2018-06, Vol.121, p.911-923
Hauptverfasser: Ren, Tao, Modest, Michael F., Haworth, Daniel C.
Format: Artikel
Sprache:eng
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Zusammenfassung:•TRI are studied using a presumed-PDF methodtogether with a PMC-LBL radiation model.•An efficient wavenumber selection scheme isproposed for the PMC-LBL model with TRI.•Impact of absorption coefficientself-correlation is investigated. In turbulent combustion, the turbulent fluctuations of temperature and species concentrations have strong effects on chemical and radiative heat sources. Turbulence–chemistry interactions (TCI) and turbulence–radiation interactions (TRI) create a set of “closure” problems when the governing partial differential equations are averaged. The presumed probability distribution function (presumed-PDF) method assumes a form of probability distribution function to close the chemical source term. The emphasis of this work is developing a high-fidelity radiation model that works in tandem with combustion models that use the presumed-PDF method to close the turbulent source terms. A finite volume based photon Monte Carlo method with a line-by-line spectral model is applied with the presumed-PDFs of mixture fraction, scalar dissipation rate and enthalpy defect to account for TRI effects. An efficient wavenumber selection scheme is proposed for the line-by-line photon Monte Carlo method considering TRI. The model is validated with one-dimensional exact line-by-line solutions for different TRI treatments and with a coupled combustion simulation for an open jet flame.
ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2018.01.049