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Image Processing for Bubble Image Velocimetry in Self-Aerated Flows

Author(s): Daniel B. Bung; Daniel Valero

Linked Author(s): Daniel B. Bung

Keywords: Bubble Image Velocimetry; Stepped spillways; Air-water flows; Non-intrusive techniques

Abstract: In this study, different preprocessing techniques have been applied in order to test if the accuracy of Bubble Image Velocimetry (BIV) calculations in self-aerated flows can be improved. For this purpose, high-speed movies with a resolution of 1920×1200 px and a frame rate of 730 Hz are captured on a stepped spillway model with a Phantom M120camera supplied by La Vision. BIV results are obtained by application of the open-source Matlab®toolbox PIVlab and compared to intrusive data from a double-tip conductivity probe. Averaging velocity fields from 249 frame pairs help to obtain robust results. Therefore, BIV is carried out in a loop with preceding variation of image processing techniques. Results show some potential improvement for the same cross correlation algorithm and post-processing options. However, BIV results tend to underestimate flow velocities when compared to the conductivity probe data.


Year: 2015

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