LAPSE:2023.34111
Published Article
LAPSE:2023.34111
A Numerical Investigation of Mixing Models in LES-FMDF for Compressible Reactive Flows
Wenwu Chen, Jianhan Liang, Lin Zhang, Qingdi Guan
April 24, 2023
Abstract
The filtered mass density function (FMDF) model has been employed for large-eddy simulations (LES) of compressible high-speed turbulent mixing and reacting flows. However, the mixing model remains a pressing challenge for FMDF methods, especially for compressible reactive flows. In this work, a temporal development mixing layer with two different convective Mach numbers, Mc=0.4 and Mc=0.8, is used to investigate the mixing models. A simplified one-step reaction and a real hydrogen/air reaction are employed to study the mixing and turbulence-chemistry interaction. Two widely used mixing models, interaction by exchange with the mean (IEM) and Euclidean minimum spanning tree (EMST), are studied. Numerical results indicate that no difference is observed between the IEM and EMST models in simple reaction flows. However, for hydrogen/air reactions, the EMST model can predict the reaction more accurately in high-speed flow. For mixing models in compressible reactive flows, the requirement of localness preservation tends to be more essential as the convective Mach number increases. With the increase of compressibility, the sensitivity of the mixing model coefficient is reduced significantly. Therefore, the appropriate mixing model coefficient has a wider range. Results also indicate that a large error may result when using a fixed mixing model coefficient in compressible flows.
Keywords
compressible reactive flows, LES-FMDF, mixing models
Suggested Citation
Chen W, Liang J, Zhang L, Guan Q. A Numerical Investigation of Mixing Models in LES-FMDF for Compressible Reactive Flows. (2023). LAPSE:2023.34111
Author Affiliations
Chen W: College of Aerospace Science and Engineering, National University of Defense Technology, No.109 Deya Road, Changsha 410073, China [ORCID]
Liang J: College of Aerospace Science and Engineering, National University of Defense Technology, No.109 Deya Road, Changsha 410073, China
Zhang L: College of Aerospace Science and Engineering, National University of Defense Technology, No.109 Deya Road, Changsha 410073, China
Guan Q: College of Aerospace Science and Engineering, National University of Defense Technology, No.109 Deya Road, Changsha 410073, China
Journal Name
Energies
Volume
14
Issue
16
First Page
5180
Year
2021
Publication Date
2021-08-22
ISSN
1996-1073
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Original Submission
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PII: en14165180, Publication Type: Journal Article
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