IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-66792-4_29.html
   My bibliography  Save this book chapter

Numerical Simulation of the FNG Wing Section in Turbulent Inflow

In: High Performance Computing in Science and Engineering '19

Author

Listed:
  • Jens Müller

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics (IAG))

  • Maximilian Ehrle

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics (IAG))

  • Thorsten Lutz

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics (IAG))

  • Ewald Krämer

    (University of Stuttgart, Institute of Aerodynamics and Gas Dynamics (IAG))

Abstract

The influence of atmospheric turbulence on an extruded airfoil of the FNG wing in clean configuration is investigated using numerical simulation. Turbulence is injected into the flow field using a momentum source term. It is shown that the turbulence can be propagated accurately to the airfoil. Spectra of the pressure coefficient at different chordwise positions indicate a correlation between the inflow velocity spectrum and the local $$c_p$$ c p spectra, especially for low to medium wave numbers. Furthermore, the applicability of the simplified Disturbance Velocity Approach (DVA) is evaluated, where the velocities of the atmospheric turbulence are added to the flux balance using superposition. The DVA shows satisfying results for the lift spectrum and the $$c_p$$ c p spectrum at the leading edge over a broad wave number range. An overestimation of the amplitudes for the pitching moment and $$c_p$$ c p spectra at $$x/c=0.2$$ x / c = 0.2 occurs at medium to high wave numbers. A scaling test of the TAU code in a development version with the implemented DVA is performed on this test case and shows satisfying scalability.

Suggested Citation

  • Jens Müller & Maximilian Ehrle & Thorsten Lutz & Ewald Krämer, 2021. "Numerical Simulation of the FNG Wing Section in Turbulent Inflow," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '19, pages 435-450, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-66792-4_29
    DOI: 10.1007/978-3-030-66792-4_29
    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_29. 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.