IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-66792-4_28.html
   My bibliography  Save this book chapter

DNS Study of the Turbulent Inflow Effects on the Fluid Dynamics and Heat Transfer of a Compressible Impinging Jet Flow

In: High Performance Computing in Science and Engineering '19

Author

Listed:
  • Gabriele Camerlengo

    (Technische Universität Berlin, Institut für Strömungsmechanik und Technische Akustik)

  • Jörn Sesterhenn

    (Universität Bayreuth, Lehrstuhl für Technische Mechanik und Strömungsmechanik)

Abstract

We present a DNS of a compressible impinging jet flow with Reynolds and Mach numbers of 8134 and 0.71, respectively. The jet is vertically confined between two isothermal walls and issues from a circular orifice of diameter D in the uppermost wall. The lowermost wall, placed at a distance of 5D from the other, serves as impingement plate. The temperature of the walls is constant and $${85\,\text {K}}$$ 85 K higher than the average total temperature of the jet at inlet. In order to resemble engineering configurations where the inflow will certainly not be laminar, we prescribe fully turbulent inlet conditions. To this end, the impinging jet simulation is coupled with an auxiliary fully developed turbulent pipe flow DNS. This approach circumvents the calibration issues that arise when a synthetic turbulence generator is used. Because of their relevance in cooling applications, the analysis focuses on the heat transfer at the impingement wall and its spatial distribution, whose peculiar shape is determined by the vortex dynamics in the proximity of the wall. Aiming at identifying the effects of the turbulent inflow, results are compared with those of previous computations performed with comparable configuration but laminar inflow.

Suggested Citation

  • Gabriele Camerlengo & Jörn Sesterhenn, 2021. "DNS Study of the Turbulent Inflow Effects on the Fluid Dynamics and Heat Transfer of a Compressible Impinging Jet Flow," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '19, pages 423-434, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-66792-4_28
    DOI: 10.1007/978-3-030-66792-4_28
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    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:spr:sprchp:978-3-030-66792-4_28. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.