• DocumentCode
    2773775
  • Title

    Particle Tracking Velocimetry (PTV) Algorithm for Non-uniform and Non-spherical Particles

  • Author

    Tapia, H. Salinas ; Aragón, J. A García ; Hernández, D. Moreno ; García, B. Barrientos

  • Author_Institution
    Centro Interamericano de Recursos de Agua, UAEM, Toluca
  • Volume
    2
  • fYear
    2006
  • fDate
    Sept. 2006
  • Firstpage
    325
  • Lastpage
    330
  • Abstract
    An algorithm for velocimetry working with the individual identification of seeding particles in a flow is developed in this paper. The algorithm is able to find particle pairs by the intensity of the light scattered and the size and shape of the particles. The velocity field of fluids and sediment particles of irregular size and shape and higher density than the fluid were experimentally measured An experimental flume and a particle tracking velocimetry (PTV) system provided with a double pulsed laser and high speed CCD camera was used For image analysis an algorithm presented in this work was able to give sediment velocities for different particle ranges and proved to be a useful and efficient tool for PTV analysis of flows seed with non-spherical and non-uniform tracers
  • Keywords
    CCD image sensors; flow visualisation; laser velocimetry; multiphase flow; particle size measurement; shape measurement; velocity measurement; PTV algorithm; double pulsed laser; high speed CCD camera; image analysis; multiphase system; nonspherical particles; nonuniform particles; particle shape measurement; particle size measurement; particle tracking velocimetry; scattered light intensity; sediment particle; seeding particles identification; velocity measurement; Density measurement; Image analysis; Light scattering; Particle measurements; Particle scattering; Particle tracking; Pulse measurements; Sediments; Shape measurement; Velocity measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Robotics and Automotive Mechanics Conference, 2006
  • Conference_Location
    Cuernavaca
  • Print_ISBN
    0-7695-2569-5
  • Type

    conf

  • DOI
    10.1109/CERMA.2006.118
  • Filename
    4019814