The irregular shapes that glaze ice may grow into while accreting over the surface of an aircraft represent a major difficulty in the numerical simulation of long periods of in-flight icing. In the framework of Arbitrary Lagrangian-Eulerian (ALE) formulations, a mesh movement scheme is presented, in which frame and elasticity analogies are loosely coupled. The resulting deformed mesh preserves the quality of elements, especially in the near-wall region, where accurate prediction of heat flux and shear stresses are required. The proposed scheme handles mesh movement in a computationally efficient manner by localizing the mesh deformation. Numerical results of ice shapes and the corresponding aerodynamic coefficients are compared with the experimental results.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust Moving Meshes for the Prediction of Aerodynamic Degradation during In-Flight Icing


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:

    Kongress:

    SAE 2011 International Conference on Aircraft and Engine Icing and Ground Deicing ; 2011



    Erscheinungsdatum :

    2011-06-13




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Robust Moving Meshes for the Prediction of Aerodynamic Degradation during In-Flight Icing

    Fossati, M. / Khurram, R.-u.-A. / Habashi, W.G. et al. | British Library Conference Proceedings | 2011


    Predictions of airfoil aerodynamic performance degradation due to icing

    Shaw, Robert J. / Potapezuk, Mark G. / Bidwell, Colin S. | NTRS | 1988


    Predictions of Airfoil Aerodynamic Performance Degradation Due to Icing

    R. J. Shaw / M. G. Potapezuk / C. S. Bidwell | NTIS | 1988


    Predictions of airfoil aerodynamic performance degradation due to icing

    Shaw, Robert J. / Potapczuk, Mark G. / Bidwell, Colin S. | NTRS | 1989


    In-flight Icing: Modeling, Prediction, and Uncertainty

    Arizmendi, B. / Morelli, M. / Parma, G. et al. | Springer Verlag | 2020