Application of hybrid binomial Langevin-multiple mapping conditioning method to reacting jet flow
Paper
Paper/Presentation Title | Application of hybrid binomial Langevin-multiple mapping conditioning method to reacting jet flow |
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Presentation Type | Paper |
Authors | Wandel, Andrew P. (Author) and Lindstedt, R. Peter (Author) |
Editors | Klimenko, Alexander Y., Cleary, Matthew J., Feng, Bo, Rudolph, Victor, Boyce, Russell R., Wandel, Andrew P. and Clements, Rose |
Journal or Proceedings Title | Proceedings of the Australian Combustion Symposium (ACS 2009) |
ERA Conference ID | 42521 |
Number of Pages | 4 |
Year | 2009 |
Place of Publication | Brisbane, Australia |
ISBN | 9781864999802 |
9781864999792 | |
Web Address (URL) of Paper | http://www.mech.uq.edu.au/conferences/ACS2009/program.htm |
Conference/Event | Australian Combustion Symposium (ACS 2009) |
Australian Combustion Symposium | |
Event Details | Australian Combustion Symposium Rank C C C C C C C C |
Event Details | Australian Combustion Symposium (ACS 2009) Event Date 02 to end of 04 Dec 2009 Event Location Brisbane, Australia |
Abstract | The hybrid binomial Langevin-MMC (Multiple Mapping Conditioning) method combines the advantages of the binomial Langevin and MMC models in a consistent manner to overcome difficulties in each. The binomial Langevin method provides joint velocity-scalar statistics, but the treatment of scalars is complex since specification of the bounds is not trivial. The MMC method is capable of dealing with the mixing of any number of scalars, but it can be difficult to specify coefficients involving averages of the scalars and the introduced reference space. The difficulties are overcome by using the velocity statistics from the binomial Langevin model to obtain the reference variable for MMC and, subsequently, the mixing of MMC scalars is performed in a manner that minimises the difference between the mixture fractions for each submodel. The current work expands past studies of NO conversion in a mixing layer to include a study of the Sandia D Flame in preparation for the application to more complex combustion phenomena. Results compare favourably with experimental data and other models. |
Keywords | binomial Langevin model; multiple mapping conditioning model; sandia flame |
ANZSRC Field of Research 2020 | 401703. Energy generation, conversion and storage (excl. chemical and electrical) |
401213. Turbulent flows | |
401204. Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics) | |
Public Notes | This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. |
Byline Affiliations | Computational Engineering and Science Research Centre |
Imperial College of Science, Technology and Medicine, United Kingdom |
https://research.usq.edu.au/item/9z637/application-of-hybrid-binomial-langevin-multiple-mapping-conditioning-method-to-reacting-jet-flow
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