Abstract
Novel methodology of 3D particle tracking velocimetry (PTV) has been developed for the use in full 3D flow diagnosis experiments. The new PTV method makes use of an algebraic tomographic reconstruction technique for estimating the 3D locations of seeding particles in the measurement volume which is illuminated by a volumetric light source. After determining the particle locations at different time steps, the motion of each particle is tracked time differentially and thereby a full 3D velocity distribution in the measurement volume is obtained. In the present study, various new techniques are introduced to accurately reconstruct particles distribution and to properly identify and locate individual particles. Some discussions are made as to the effects of the algebraic reconstruction parameters and of the particle identification methods.
