Reference : Image Processing For Bubble Image Velocimetry in Self-Aerated Flows
E-prints/Working papers : Already available on another site
Engineering, computing & technology : Civil engineering
Image Processing For Bubble Image Velocimetry in Self-Aerated Flows
Bung, Daniel B. mailto [FH Aachen > Hydraulic Engineering Section > > >]
Valero Huerta, Daniel mailto [Université de Liège - ULiège > > > Form. doct. sc. ingé. & techn. (archi., gén. civ. - paysage)]
International Association for Hydraulic Research
E-proceedings of the 36 th IAHR World Congres
[en] Bubble Image Velocimetry ; stepped spillways ; air-water flows ; non-intrusive techniques
[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.
Urban and Environmental Engineering
Researchers ; Professionals

File(s) associated to this reference

Fulltext file(s):

Restricted access
2015 Bung Image processing for bubble image velocimetry in self-aerated flows.pdfPublisher postprint2.09 MBRequest copy

Bookmark and Share SFX Query

All documents in ORBi are protected by a user license.