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Probability density function approach for compressible turbulent reacting flows

The objective of the present work is to extend the probability density function (PDF) tubulence model to compressible reacting flows. The proability density function of the species mass fractions and enthalpy are obtained by solving a PDF evolution equation using a Monte Carlo scheme. The PDF soluti...

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Published in:AIAA journal 1994-07, Vol.32 (7), p.1407-1415
Main Authors: Hsu, A. T, Tsai, Y.-L. P, Raju, M. S
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Language:English
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description The objective of the present work is to extend the probability density function (PDF) tubulence model to compressible reacting flows. The proability density function of the species mass fractions and enthalpy are obtained by solving a PDF evolution equation using a Monte Carlo scheme. The PDF solution procedure is coupled with a compression finite-volume flow solver which provides the velocity and pressure fields. A modeled PDF equation for compressible flows, capable of treating flows with shock waves and suitable to the present coupling scheme, is proposed and tested. Convergence of the combined finite-volume Monte Carlo solution procedure is discussed. Two super sonic diffusion flames are studied using the proposed PDF model and the results are compared with experimental data; marked improvements over solutions without PDF are observed.
doi_str_mv 10.2514/3.12209
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subjects Aerodynamics
Chemically reactive flows
Exact sciences and technology
Fluid dynamics
Fluid Mechanics And Heat Transfer
Fundamental areas of phenomenology (including applications)
Physics
Probability
Reactive, radiative, or nonequilibrium flows
Turbulence
Turbulence simulation and modeling
Turbulent flows, convection, and heat transfer
title Probability density function approach for compressible turbulent reacting flows
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