Discrete probability function method for the equation of radiative transfer

ISSN: 02725673
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Abstract

A discrete probability function (DPF) method for the equation of radiative transfer is derived. The DPF is defined as the integral of the probability density function (PDF) over a discrete interval. The derivation allows the evaluation of the DPF of intensity leaving desired radiation paths including turbulence-radiation interactions without the use of computer intensive stochastic methods. The DPF method has a distinct advantage over conventional PDF methods since the creation of a partial differential equation from the equation of transfer is avoided. Further, convergence of all moments of intensity is guaranteed at the basic level of simulation unlike the stochastic method where the number of realizations for convergence of higher order moments increases rapidly. The DPF method is described for a representative path with approximately integral length scale sized spatial discretization. The results show good agreement with measurements in a propylene/air flame except for the effects of intermittency resulting from highly correlated realizations. The method can be extended to the treatment of spatial correlation as described in Appendix A. However, information regarding spatial correlations in turbulent flames is needed prior to the execution of this extension.

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APA

Sivathanu, Y. R., & Gore, J. P. (1992). Discrete probability function method for the equation of radiative transfer. In American Society of Mechanical Engineers, Heat Transfer Division, (Publication) HTD (Vol. 223, pp. 73–80). Publ by ASME.

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