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Improvements to PIV image analysis by recognizing the velocity gradients

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Abstract

Two iterative PIV image processing methods are introduced, which utilize displacement and deformation of the interrogation areas to maximize the correlation. The velocity gradients used for the window deformation are iteratively estimated directly from the images and no velocity values are required from neighbouring interrogation areas, as with numerical differentiation. The improved accuracy and resolution of the velocity gradient estimation compared to numerical differentiation is shown using synthetic images. The performance in a real application is shown using experimental reference images.

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Acknowledgements

Funding from the Deutsche Forschungsgemeinschaft under grant Tr 194/21 is gratefully acknowledged.

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  1. Fachgebiet Strömungslehre und Aerodynamik, Technische Universität Darmstadt, Petersenstr. 30, 64289, Darmstadt, Germany

    H. Nobach & C. Tropea

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  1. H. Nobach
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  2. C. Tropea
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Correspondence to H. Nobach.

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Nobach, H., Tropea, C. Improvements to PIV image analysis by recognizing the velocity gradients. Exp Fluids 39, 614–622 (2005). https://doi.org/10.1007/s00348-005-1001-9

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  • DOI: https://doi.org/10.1007/s00348-005-1001-9

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