Post-processing of discrete flow field data for particle tracking velocimetry

Wang Pengtao, Song Yongjun, Sun Dongpo

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)6610-6614
Number of pages5
JournalInformation Technology Journal
Volume12
Issue number22
DOIs
StatePublished - 2013

Keywords

  • Discrete flow field data
  • Interpolation
  • Particle tracking velocimetry
  • Physical river model
  • Velocity vector

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