Volumetric particle tracking velocimetry (PTV) uncertainty quantification

Som Based Particle Matching for Volumetric Particle Tracking Velocimetry

Novel 3D image analysis and particle matching techniques for the use in the volumetric particle tracking velocimetry have been developed and tested by using synthetic images and experimental images of unsteady 3D flows. A tomography based particle reconstruction scheme along with the subsequent process of individual particle detection and validation was used. The detected particles in the two t...

Quantification of uncertainty in a stereoscopic particle image velocimetry measurement

In Stereoscopic Particle Image Velocimetry (Stereo-PIV), the three velocity components are obtained by illuminating a planar region in the fl ow fi eld and recording the region of interest using two cameras at an angle. Calibration, planar velocity estimation, and velocity reconstruction are the three essential steps involved in the process. Earlier efforts to quantify the accuracy in a Stereo-...

Applying Feature Tracking to Particle Image Velocimetry

Particle Image Velocimetry (PIV) is a popular approach to flow visualisation and measurement in hydroand aerodynamic studies and applications [7]. The fluid is seeded with particles that follow the flow and make it visible. Traditionally, correlation techniques have been used to estimate the displacements of the particles in a digital PIV sequence. Recently, we have successfully applied to PIV ...

Digital Holography Based Particle Tracking Velocimetry

Digital holography appears to be the next-generation technology for holographic diagnostics of particle fields and has been applied to holographic particle tracking flow measurements. In the digital holography, the Fresnel or Fourier holograms are recorded directly by the CCD or CMOS cameras and stored digitally. No film material involving wet-chemical or other processing is necessary as in opt...

Particle Image Velocimetry by Feature Tracking