Print Email Facebook Twitter Complete removal of ghost particles in Tomographic-PIV Title Complete removal of ghost particles in Tomographic-PIV Author Elsinga, G.E. Faculty Mechanical, Maritime and Materials Engineering Department Process Energy Date 2013-07-01 Abstract This paper discusses and compares several methods, which aim to remove spurious peaks, i.e. ghost particles, from the volume intensity reconstruction in Tomographic-PIV. The assessment is based on numerical simulations of timeresolved tomographic-PIV experiments in linear shear flows. Within the reconstructed volumes intensity peaks are detected and tracked over time. These peaks are associated to particles (either ghosts or actual particles) and are characterized by their peak intensity, their size and their track length. Peak intensity and track length are found to be effective in discriminating between most ghosts and the actual particles, although not all ghosts can be detected using only a single threshold. The size of the reconstructed particles does not reveal an important difference between ghosts and actual particles. Simultaneous plotting of peak intensity and track length however does, under certain conditions, allow a complete separation of ghosts and actual particles. The ghosts can have either a high intensity or a long track length, but not both combined like all the actual particles. Finally removing the detected ghosts from the reconstructed volume and performing additional MART iterations can decrease the particle position error at low to moderate seeding densities, but increases the position error and tracking errors at higher densities. To reference this document use: http://resolver.tudelft.nl/uuid:63ccd859-77ad-4c41-b703-62bfc635e9a6 Source PIV13; 10th International Symposium on Particle Image Velocimetry, Delft, The Netherlands, July 1-3, 2013 Part of collection Institutional Repository Document type conference paper Rights (c)2013 Elsinga, G.E. Files PDF A146_Paper_Elsinga_DEF.pdf 7.7 MB Close viewer /islandora/object/uuid:63ccd859-77ad-4c41-b703-62bfc635e9a6/datastream/OBJ/view