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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    Title :

    Planar visualization of vortical flows


    Contributors:
    Knowles, R D (author) / Finnis, M V (author) / Saddington, A J (author) / Knowles, K (author)


    Publication date :

    2006-05-01


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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    Physics of vortical flows

    DELERY, JEAN M. | AIAA | 1992