This paper presents a computational study on the static and dynamic stability characteristics of a generic transport T-tail configuration under a NASA research program to improve stall models for civil transports. The NASA Tetrahedral Unstructured Software System (TetrUSS) was used to obtain both static and periodic dynamic solutions at low speed conditions for three Reynolds number conditions up to 60 deg angle of attack. The computational results are compared to experimental data. The dominant effects of Reynolds number for the static conditions were found to occur in the stall region. The pitch and roll damping coefficients compared well to experimental results up to up to 40 deg angle of attack whereas yaw damping coefficient agreed only up to 20 deg angle of attack.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Computational Study of a Generic T-tail Transport


    Beteiligte:

    Kongress:

    AIAA Aviation 2019 Forum ; 2019 ; Dallas, TX, United States


    Erscheinungsdatum :

    17.06.2019


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


    Computational Study of a Generic T-tail Transport

    McMillin, Susan N. / Frink, Neal T. / Murphy, Patrick C. et al. | AIAA | 2019


    Computational and Experimental Study of Deep Stall in a Generic T-Tail Transport Aircraft

    Lowenberg, Mark H. / Pusztai, Daniel / Nguyen, Duc et al. | AIAA | 2025


    Unsteady Model Estimation for Generic T-Tail Transport Aircraft Using Computational Data

    Murphy, Patrick C. / Frink, Neal / McMillin, S. Naomi et al. | NTRS | 2019


    Unsteady Model Estimation for Generic T-Tail Transport Aircraft Using Computational Data

    Murphy, Patrick C. / Frink, Neal T. / McMillin, Susan N. et al. | AIAA | 2019


    Unsteady Model Estimation for Generic T-Tail Transport Aircraft Using Computational Data

    P. C. Murphy / N. Frink / S. N. McMillin et al. | NTIS | 2019