Wang Pengtao
College of Water Resources, North China University of Water Resources and Electric Power, 450011, Zhengzhou, China
Song Yongjun
College of Water Resources, North China University of Water Resources and Electric Power, 450011, Zhengzhou, China
Sun Dongpo
College of Water Resources, North China University of Water Resources and Electric Power, 450011, Zhengzhou, China
ABSTRACT
To measure the surface flow in a physical river model, a brief introduction was given to the method of Particle Tracking Velocimetry (PTV). According to the characteristics of PTV by seeding particles on the water surface, particle images can be captured by CCD cameras and recognized by image division. PTV algorithm gives one vector for each particle based on the principle the trajectory of an individual particle is continuous. The key problem of analyzing the flow speed field accurately is post-processing of discrete flow field data. Errors of measurement discrete data are removed by the basic law of water movement. To attain the whole flow speed field, the methods of interpolation of discrete flow field data were proposed. In addition, the graphics of streamlines, velocity isolines and vortex isolines were drawn by the theory of hydraulic calculation.
PDF References Citation
How to cite this article
Wang Pengtao, Song Yongjun and Sun Dongpo, 2013. Post-Processing of Discrete Flow Field Data for Particle Tracking Velocimetry. Information Technology Journal, 12: 6610-6614.
DOI: 10.3923/itj.2013.6610.6614
URL: https://scialert.net/abstract/?doi=itj.2013.6610.6614
DOI: 10.3923/itj.2013.6610.6614
URL: https://scialert.net/abstract/?doi=itj.2013.6610.6614
REFERENCES
- Adrian, R.J., 2005. Twenty years of particle image velocimetry. Exp. Fluids, 39: 159-169.
CrossRefDirect Link - Fujita, I., M. Muste and A. Kruger, 1998. Large-scale particle image velocimetry for flow analysis in hydraulic engineering applications. J. Hydraulic Res., 36: 397-414.
CrossRefDirect Link - Meselhe, E.A., T. Peeva and M. Muste, 2004. Large scale particle image velocimetry for low velocity and shallow water flows. J. Hydraulic Eng., 130: 937-940.
Direct Link - Santiago, J.G., S.T. Wereley, C.D. Meinhart, D.J. Beebe and R.J. Adrian, 1998. A particle image velocimetry system for microfluidics. Exp. Fluids, 25: 316-319.
CrossRefDirect Link - Xu, J.L., J. Sha and C.F. Lin, 2007. PIV experimental research of instantaneous flow characteristics of circular orifice synthetic jet. J. Hydrod. Ser. B., 19: 453-458.
CrossRefDirect Link