The purpose of the NASA Juncture Flow experiment was to acquire high-quality flowfield details deep in the corner of a wing–body junction specifically for the purpose of computational fluid dynamics (CFD) validation. A truncated DLR F6 wing was used along with a flat-sided fuselage with windows that allowed both laser Doppler velocimetry and particle image velocimetry measurements to be made very close to the corner. This paper describes the experiment and its results. It also makes comparisons between the wind-tunnel data and Reynolds-averaged Navier–Stokes CFD results using a new version of a quadratic constitutive relation that was recently developed to improve separated corner-flow predictions. This validation experiment provides useful flowfield data that can be used to test the ability of CFD methods and models to accurately represent separated juncture flow physics.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    NASA Juncture Flow Computational Fluid Dynamics Validation Experiment



    Erschienen in:

    AIAA Journal ; 60 , 8 ; 4789-4806


    Erscheinungsdatum :

    2022-04-20


    Format / Umfang :

    18 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    WALL-MODELED LES OF THE NASA JUNCTURE FLOW EXPERIMENT

    Iyer, Prahladh S. / Malik, Mujeeb R. | TIBKAT | 2020


    Wall-modeled LES of the NASA Juncture Flow Experiment

    Iyer, Prahladh S. / Malik, Mujeeb R. | AIAA | 2020


    Reynolds-Stress Model Computations of NASA Juncture Flow Experiment

    Eisfeld, Bernhard / Rumsey, Christopher L. / Togiti, Vamshi et al. | AIAA | 2021


    REYNOLDS-STRESS MODEL COMPUTATIONS OF THE NASA JUNCTURE FLOW EXPERIMENT

    Eisfeld, Bernhard / Togiti, Vamshi / Braun, Sebastian et al. | TIBKAT | 2020


    CFD Analysis in Advance of the NASA Juncture Flow Experiment

    Lee, Henry / Pulliam, Thomas / Neuhart, Dan et al. | NTRS | 2017