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Image Processing For Bubble Image Velocimetry in Self-Aerated Flows
Bung, Daniel B.; Valero Huerta, Daniel
2015
 

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Keywords :
Bubble Image Velocimetry; stepped spillways; air-water flows; non-intrusive techniques
Abstract :
[en] 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 M120 camera supplied by LaVision. 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.
Research center :
UEE - Urban and Environmental Engineering - ULiège
Disciplines :
Civil engineering
Author, co-author :
Bung, Daniel B.;  FH Aachen > Hydraulic Engineering Section
Valero Huerta, Daniel ;  Université de Liège - ULiège > Form. doct. sc. ingé. & techn. (archi., gén. civ. - paysage)
Language :
English
Title :
Image Processing For Bubble Image Velocimetry in Self-Aerated Flows
Publication date :
2015
Publisher :
International Association for Hydraulic Research
Number of pages :
8
Available on ORBi :
since 10 June 2016

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