This article presents two over-looked post-processing techniques which provide the investigator with additional tools for data analysis and visualization. Both techniques exploit the trend for planar experimental data collection and are implemented in two-dimensions. Critically, both techniques are suitable for use on computational and experimental datasets, require no a-priori knowledge of the flow-field, and minimal user interaction during processing. Firstly, line integral convolution will be introduced as an alternative to streamline or in-plane velocity vector visualization. Secondly, a feature identification procedure will be outlined that can be used to reduce datasets for clearer visualization and provide quantitative information about topological flow features.


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    Titel :

    Planar visualization of vortical flows


    Beteiligte:
    Knowles, R D (Autor:in) / Finnis, M V (Autor:in) / Saddington, A J (Autor:in) / Knowles, K (Autor:in)


    Erscheinungsdatum :

    01.05.2006


    Format / Umfang :

    9 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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    Graphical visualization of vortical flows by means of helicity

    DEGANI, DAVID / SEGINER, ARNAN / LEVY, YUVAL | AIAA | 1990


    Physics of vortical flows

    DELERY, JEAN M. | AIAA | 1992