IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i16p5180-d619260.html
   My bibliography  Save this article

A Numerical Investigation of Mixing Models in LES-FMDF for Compressible Reactive Flows

Author

Listed:
  • Wenwu Chen

    (College of Aerospace Science and Engineering, National University of Defense Technology, No.109 Deya Road, Changsha 410073, China)

  • Jianhan Liang

    (College of Aerospace Science and Engineering, National University of Defense Technology, No.109 Deya Road, Changsha 410073, China)

  • Lin Zhang

    (College of Aerospace Science and Engineering, National University of Defense Technology, No.109 Deya Road, Changsha 410073, China)

  • Qingdi Guan

    (College of Aerospace Science and Engineering, National University of Defense Technology, No.109 Deya Road, Changsha 410073, China)

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, M c = 0.4 and M c = 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.

Suggested Citation

  • Wenwu Chen & Jianhan Liang & Lin Zhang & Qingdi Guan, 2021. "A Numerical Investigation of Mixing Models in LES-FMDF for Compressible Reactive Flows," Energies, MDPI, vol. 14(16), pages 1-26, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5180-:d:619260
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/16/5180/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/16/5180/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5180-:d:619260. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.