Abstract
Velocity vectors obtained by PTV are distributed discretely depending on the number density of tracer particles seeded in a flow. Especially, 3-D PTV obtains smaller number of data in 3-D space compared to 2-D PTV In order to extract physical properties such as streamlines, voracity contour and so on, velocity vectors have to be rearranged in grid space. This paper shows the applicability of post-processing methods based on ellipsoidal equations for PTV data in three-dimensional unsteady flows. Performance of the algorithms was examined with Hill's spherical vortex and PIV standard images by VSJ. As a result, it is recognized that these algorithms are sufficiently available for three-dimensional unsteady flows.
