A stochastic micromixing model based on the turbulent diffusion length scale
Paper
Paper/Presentation Title | A stochastic micromixing model based on the turbulent diffusion length scale |
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Presentation Type | Paper |
Authors | |
Author | Wandel, Andrew P. |
Editors | Kennedy, Eric, Moghtaderi, Bogdan, Dlugogorski, Behdad and Masri, Assaad |
Journal or Proceedings Title | Proceedings of the 11th Australian Combustion Symposium (ACS 2011) |
ERA Conference ID | 42521 |
Journal Citation | 1 (1), pp. 70-73 |
Number of Pages | 4 |
Year | 2011 |
Place of Publication | Sydney, Australia |
Web Address (URL) of Paper | http://www.2011australiancombustionsymposium.com/ |
Conference/Event | 11th Australian Combustion Symposium (ACS 2011) |
Australian Combustion Symposium | |
Event Details | Australian Combustion Symposium Rank C C C C C C C C |
Event Details | 11th Australian Combustion Symposium (ACS 2011) Event Date 29 Nov 2011 to end of 01 Dec 2011 Event Location Newcastle, Australia |
Abstract | A new micromixing model to close probability density function (pdf) models is proposed. The model is based on the proposition that each computational timestep, stochastic particles move within the scalar space (on average) by a distance equal to the turbulent diffusion length scale. At each timestep, the model evaluates the distance in scalar space between all particles. During the timestep, a discrete pdf is computed for the distance between unmixed particles and the cumulative integral for the mean calculated. A filter is applied to retain the lower portion of the distance domain so that the cumulative integral is equal to the average diffusion length required to decrease the scalar variance. A sample (a pair of particles) is chosen from this filtered part of the domain and the particles mixed using Modified Curl's model. The complete interparticle-distance pdf is re-evaluated for each pair to ensure that there is sufficient capacity to mix to meet the variance decay requirements. Preliminary tests show that this model obeys several fundamental properties required of micromixing models, including conservation, correct decay of variance and relaxation to Gaussian pdf. |
Keywords | micromixing model; diffusion length; stochastic particles |
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) | |
401205. Experimental methods in fluid flow, heat and mass transfer | |
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 | Department of Mechanical and Mechatronic Engineering |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1125/a-stochastic-micromixing-model-based-on-the-turbulent-diffusion-length-scale
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