Two Reynolds-averaged Navier-Stokes codes were used to compute flow over the NASA Trapezoidal Wing at high lift conditions for the 1st AIAA CFD High Lift Prediction Workshop, held in Chicago in June 2010. The unstructured-grid code FUN3D and the structured-grid code CFL3D were applied to several different grid systems. The effects of code, grid system, turbulence model, viscous term treatment, and brackets were studied. The SST model on this configuration predicted lower lift than the Spalart-Allmaras model at high angles of attack; the Spalart-Allmaras model agreed better with experiment. Neglecting viscous cross-derivative terms caused poorer prediction in the wing tip vortex region. Output-based grid adaptation was applied to the unstructured-grid solutions. The adapted grids better resolved wake structures and reduced flap flow separation, which was also observed in uniform grid refinement studies. Limitations of the adaptation method as well as areas for future improvement were identified.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    FUN3D and CFL3D Computations for the First High Lift Prediction Workshop


    Beteiligte:

    Kongress:

    49th AIAA Aerospace Sciences Meeting ; 2011 ; Orlando, FL, United States


    Erscheinungsdatum :

    2011-01-04


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


    FUN3D and CFL3D Computations for the First High Lift Prediction Workshop

    Park, Mike / Lee-Rausch, Beth / Rumsey, Christopher | AIAA | 2011


    FUN3D AND CFL3D COMPUTATIONS FOR THE FIRST HIGH LIFT PREDICTION WORKSHOP

    Park, M. / Lee-Rausch, E. / Rumsey, C. et al. | British Library Conference Proceedings | 2011



    CFL3D, FUN3D, and NSU3D Contributions to the Fifth Drag Prediction Workshop

    Park, Michael / Laflin, Kelly / Chaffin, Mark et al. | AIAA | 2013


    CFL3D, FUN3D, and NSU3D Contributions to the Fifth Drag Prediction Workshop

    Park, Michael A. / Laflin, Kelly R. / Chaffin, Mark S. et al. | AIAA | 2014