Experiments in Fluids

, Volume 48, Issue 6, pp 983–997 | Cite as

Three-dimensional, three-component wall-PIV

  • André BertheEmail author
  • Daniel Kondermann
  • Carolyn Christensen
  • Leonid Goubergrits
  • Christoph Garbe
  • Klaus Affeld
  • Ulrich Kertzscher
Research article


This paper describes a new time-resolved three-dimensional, three-component (3D-3C) measurement technique called wall-PIV. It was developed to assess near wall flow fields and shear rates near non-planar surfaces. The method is based on light absorption according to Beer–Lambert’s law. The fluid containing a molecular dye and seeded with buoyant particles is illuminated by a monochromatic, diffuse light. Due to the dye, the depth of view is limited to the near wall layer. The three-dimensional particle positions can be reconstructed by the intensities of the particle’s projection on an image sensor. The flow estimation is performed by a new algorithm, based on learned particle trajectories. Possible sources of measurement errors related to the wall-PIV technique are analyzed. The accuracy analysis was based on single particle experiments and a three-dimensional artificial data set simulating a rotating sphere.


Particle Image Velocimetry Wall Shear Stress Proper Orthogonal Decomposition Flow Estimation Tomographic Particle Image Velocimetry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



We gratefully acknowledge the support of the Deutsche Forschungsgemeinschaft DFG within the research program SPP 1147. We also thank the MFG, TU Berlin for their support.


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Copyright information

© Springer-Verlag 2009

Authors and Affiliations

  • André Berthe
    • 1
    Email author
  • Daniel Kondermann
    • 2
  • Carolyn Christensen
    • 1
  • Leonid Goubergrits
    • 1
  • Christoph Garbe
    • 2
  • Klaus Affeld
    • 1
  • Ulrich Kertzscher
    • 1
  1. 1.Biofluid Mechanics LaboratoryCharité - Universitätsmedizin BerlinBerlinGermany
  2. 2.Digital Image Processing Research Group, Heidelberg Collaboratory for Image ProcessingUniversity of HeidelbergHeidelbergGermany

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