Modeling of scalar mixing in turbulent jet flames by multiple mapping conditioning

Vogiatzaki, K., Cleary, M., Kronenburg, A. and Kent, J. H. (2009) Modeling of scalar mixing in turbulent jet flames by multiple mapping conditioning. Physics of Fluids, 21 2: 1-11. doi:10.1063/1.3081553

Author Vogiatzaki, K.
Cleary, M.
Kronenburg, A.
Kent, J. H.
Title Modeling of scalar mixing in turbulent jet flames by multiple mapping conditioning
Journal name Physics of Fluids   Check publisher's open access policy
ISSN 1070-6631
Publication date 2009-02
Year available 2009
Sub-type Article (original research)
DOI 10.1063/1.3081553
Volume 21
Issue 2
Start page 1
End page 11
Total pages 10
Place of publication College Park, MD, United States
Publisher American Institute of Physics
Collection year 2010
Language eng
Subject 850799 Energy Conservation and Efficiency not elsewhere classified
0915 Interdisciplinary Engineering
Abstract Multiple mapping conditioning (MMC) combines the probability density function (PDF) and the conditional moment closure (CMC) methods via the application of a generalized mapping function to a prescribed reference space. Stochastic and deterministic formulations of MMC exist, and the deterministic implementation has been applied here to a piloted jet diffusion flame (Sandia Flame D). This paper focuses on the feasibility of MMC and its closures for real (laboratory) flames and a relatively simple one-dimensional reference space that represents mixture fraction has been used. The remaining chemically reactive species are implicitly conditioned on mixture fraction and their fluctuations around the conditional mean are neglected. This work primarily evaluates the ability of the deterministic form of MMC to provide accurate and consistent closures for the mixture fraction PDF and the conditional scalar dissipation which do not rely on presumed shape functions for the PDF such as the commonly used β-PDF. Computed probability distributions agree well with measurements, and a detailed comparison of the modeled conditional and mean scalar dissipation with experimental data and conventional closures demonstrate MMC’s potential. Predictions of reactive species and temperature are in good agreement with experimental data and similar in quality to singly conditioned, first-order CMC predictions. MMC therefore provides an attractive-since consistent-alternative approach for the modeling of scalar mixing in turbulent reacting flows.
Keyword Chemically reactive flow
Large-eddy Simulations
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
School of Mechanical & Mining Engineering Publications
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Created: Thu, 03 Sep 2009, 08:34:59 EST by Mr Andrew Martlew on behalf of School of Mechanical and Mining Engineering