JOURNAL ARTICLE

Direct numerical simulation of a statistically stationary, turbulent reacting flow

Matthew R. OverholtStephen B. Pope

Year: 1999 Journal:   Combustion Theory and Modelling Vol: 3 (2)Pages: 371-408   Publisher: Taylor & Francis

Abstract

An inhomogeneous, non-premixed, stationary, turbulent, reacting model flow that is accessible to direct numerical simulation (DNS) is described for investigating the effects of mixing on reaction and for testing mixing models. The mixture-fraction-progress-variable approach of Bilger is used, with a model, finite-rate, reversible, single-step thermochemistry, yielding non-trivial stationary solutions corresponding to stable reaction and also allowing local extinction to occur. There is a uniform mean gradient in the mixture fraction, which gives rise to stationarity as well as a flame brush. A range of reaction zone thicknesses and Damkohler numbers are examined, yielding a broad spectrum of behaviour, including thick and thin flames, local extinction and near equilibrium. Based on direct numerical simulations, results from the conditional moment closure (CMC) and the quasi-equilibrium distributed reaction (QEDR) model are evaluated. Large intermittency in the scalar dissipation leads to local extinction in the DNS. In regions of the flow where local extinction is not present, CMC and QEDR based on the local scalar dissipation give good agreement with the DNS.M This article features multimedia enhancements available from the supplemental page in the online journal.

Keywords:
Damköhler numbers Direct numerical simulation Turbulence Extinction (optical mineralogy) Intermittency Scalar (mathematics) Mechanics Moment closure Mixing (physics) Dissipation Statistical physics Flow (mathematics) Thermodynamics Chemistry Physics Mathematics Mineralogy Geometry Reynolds number

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22
Cited By
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FWCI (Field Weighted Citation Impact)
40
Refs
0.80
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Citation History

Topics

Combustion and flame dynamics
Physical Sciences →  Engineering →  Computational Mechanics
Advanced Combustion Engine Technologies
Physical Sciences →  Chemical Engineering →  Fluid Flow and Transfer Processes
Gas Dynamics and Kinetic Theory
Physical Sciences →  Mathematics →  Applied Mathematics
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