The vortex-embedded potential method for the prediction of hover performance is described with emphasis on the ongoing process of engineering development of the code. It is demonstrated that this compressible/transonic CFD (Computation Fluid Dynamics) code provides rapidly converging, free-wake solutions with the speed, accuracy and convenience required of an engineering tool. Excellent comparisons are obtained between computed power and UH-60A model data. The effects of some geometric variations on this rotor are used to illustrate the ability to predict the effects of twist, seep, taper and blade number on induced power. It is shown that the location of the tip vortex, especially the radial location is a powerful determinant of hover efficiency and that blade geometry can influence overall performance by its' effect on this radial location.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Hover performance prediction using CFD


    Additional title:

    Eine Prognose zur Leistungsbewertung für den Schwebeflug eines Hubschraubers mittels der rechnerischen Fluiddynamik


    Contributors:


    Publication date :

    1994


    Size :

    15 Seiten, 14 Bilder, 12 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    AIAA Standardized Hover Simulation: Hover Performance Prediction Status and Outstanding Issues

    Hariharan, Nathan S. / Narducci, Robert P. / Reed, Edward et al. | AIAA | 2017


    Evaluation of hover performance prediction codes

    Chee Tung / Lee, Soogab | Tema Archive | 1994


    Hybrid CFD for Rotor Hover Performance Prediction

    Bhagwat, M. / Moulton, M. / Caradonna, F. et al. | British Library Conference Proceedings | 2006


    AIAA Standardized Hover Simulation: Hover Performance Prediction Status and Outstanding Issues (AIAA 2017-1429)

    Hariharan, Nathan S. / Narducci, Robert P. / Reed, Edward et al. | British Library Conference Proceedings | 2017


    Hybrid CFD for Rotor Hover Performance Prediction

    Bhagwat, Mahendra / Moulton, Marvin / Caradonna, Francis | AIAA | 2006