MMC-IEM with varying particle weights: A numericallyconservative method for a single reference variable
Paper
Paper/Presentation Title | MMC-IEM with varying particle weights: A numericallyconservative method for a single reference variable |
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Presentation Type | Paper |
Authors | Wandel, Andrew P. |
Editors | Dlugogorski, Bogdan Z. and Masri, Assaad R. |
Journal or Proceedings Title | Proceedings of the Australian Combustion Symposium 2023 |
Journal Citation | pp. 144-147 |
Number of Pages | 4 |
Year | 2023 |
Place of Publication | Australia |
Web Address (URL) of Conference Proceedings | https://anz-combustioninstitute.org/ACS2023/proceedings.php |
Conference/Event | Australian Combustion Symposium 2023 (ACS 2023) |
Event Details | Australian Combustion Symposium 2023 (ACS 2023) Parent Australian Combustion Symposium Delivery In person Event Date 26 to end of 29 Nov 2023 Event Location Darwin, Australia Event Venue Charles Darwin University Event Web Address (URL) |
Abstract | The Multiple Mapping Conditioning model using the Interaction by Exchange with the Mean closure (MMC-IEM) promises a consistent approach to modelling turbulent combustion processes by using the mean of two other particles to determine the conditional mean towards which a particle’s scalar should relax. However, a limitation of the approach occurs when the weights of the particles are different to each other, which is a common occurrence in inhomogeneous implementations. The approach proposed here produces conservation to the desired numerical precision, while still maintaining the necessary condition of the process being well-mixed. This is achieved by iteratively normalising the columns then rows of the mixing matrix so that it is made to be conservative then well-mixed on each iteration. It is proven that the chosen error tolerance in the conservation of the mixing process controls the overall error in the conservation of the results. It is shown for a homogeneous isotropic case that the approach does not substantially change the predictions of MMC-IEM compared to the original transport equations, so this approach is suitable for application to inhomogeneous flows. |
Keywords | multiple mapping conditioning; interaction by exchange with the mean; conservative mixing |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 401204. Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics) |
401207. Fundamental and theoretical fluid dynamics | |
401211. Multiphysics flows (incl. multiphase and reacting flows) | |
400201. Automotive combustion and fuel engineering | |
401703. Energy generation, conversion and storage (excl. chemical and electrical) | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions, but may be accessed online. Please see the link in the URL field. |
Byline Affiliations | School of Engineering |
https://research.usq.edu.au/item/zv185/mmc-iem-with-varying-particle-weights-a-numericallyconservative-method-for-a-single-reference-variable
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