Hybrid multiple mapping conditioning modeling of local extinction

Wandel, Andrew P. ORCID: https://orcid.org/0000-0002-7677-7129 and Lindstedt, R. Peter (2013) Hybrid multiple mapping conditioning modeling of local extinction. Proceedings of the Combustion Institute, 34 (1). pp. 1365-1372. ISSN 1540-7489


Multiple mapping conditioning (MMC) explicitly includes a link between the physical velocity and the conditioning variable. The usual method of obtaining values for the conditional physical velocity is to define the value of the conditioning variable and use a model for the velocity. In contrast to the conditional moment closure (CMC) approach, the conditioning variable is not a real quantity and hence provides greater flexibility in its definition. The hybrid binomial Langevin–MMC model has the advantage of naturally incorporating velocity–scalar interactions through the binomial Langevin model and the joint probability density function (PDF) is here used to define a reference variable for the MMC part of the model. The current approach has the advantage that difficulties encountered with the binomial Langevin model in modeling scalars with non-elementary bounds are removed. The formulation of the closure leads to locality in scalar space and permits the use of simple approaches for transport in the reference space. The evaluation of the technique is here extended to a jet flame with moderately-high levels of extinction (Sandia Flame E). A direct comparison with experimental data and the EMST (Euclidean minimum spanning tree) model for temperature, species concentrations and burning indexes suggests that the approach performs well.

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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: © 2012 The Combustion Institute. Published version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013)
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013)
Date Deposited: 16 May 2013 05:48
Last Modified: 10 Jul 2014 23:03
Uncontrolled Keywords: turbulence; extinction; MMC; Langevin models; chemistry
Fields of Research (2008): 09 Engineering > 0913 Mechanical Engineering > 091305 Energy Generation, Conversion and Storage Engineering
09 Engineering > 0915 Interdisciplinary Engineering > 091508 Turbulent Flows
03 Chemical Sciences > 0307 Theoretical and Computational Chemistry > 030704 Statistical Mechanics in Chemistry
Fields of Research (2020): 40 ENGINEERING > 4017 Mechanical engineering > 401703 Energy generation, conversion and storage (excl. chemical and electrical)
40 ENGINEERING > 4012 Fluid mechanics and thermal engineering > 401213 Turbulent flows
34 CHEMICAL SCIENCES > 3407 Theoretical and computational chemistry > 340703 Statistical mechanics in chemistry
Socio-Economic Objectives (2008): B Economic Development > 85 Energy > 8507 Energy Conservation and Efficiency > 850799 Energy Conservation and Efficiency not elsewhere classified
Identification Number or DOI: https://doi.org/10.1016/j.proci.2012.07.073
URI: http://eprints.usq.edu.au/id/eprint/22606

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