Print Email Facebook Twitter A Feature Tracking Velocimetry algorithm to determine the velocities in Negatively Buoyant Jets Part of: PIV13; 10th International Symposium on Particle Image Velocimetry· list the conference papers Title A Feature Tracking Velocimetry algorithm to determine the velocities in Negatively Buoyant Jets Author Ferrari, S. Badas, M.G. Besalduch, L.A. Querzoli, G. Date 2013-07-03 Abstract We present a novel algorithm, namely Feature Tracking Velocimetry (FTV), which is less sensitive to the appearance and disappearance of particles and to high velocity gradients than classical Particle Image Velocimetry (PIV). The basic idea of FTV is to compare windows only where the motion detection may be successful, that is where there are high luminosity gradients. The FTV algorithm is suitable in presence of different seeding densities, where other techniques produce significant errors, due to the non-homogeneous seeding at the boundary of a flow. The FTV algorithm has been tested for the analysis of laboratory experiments on simple jets (SJs) and negatively buoyant jets (NBJs), both issuing from a sharp-edged orifice. Among the others, the velocity and Turbulent Kinetic Energy profiles, orthogonal to the jet axis, the mean streamwise centerline velocity decay and the integral Turbulent Kinetic Energy along the jet axis have been measured and analyzed. These quantities have been employed to study the differences between simple jets and NBJs, and to investigate how the increase in buoyancy affects the NBJ behavior. Moreover, mean velocity fields have been used to study the geometrical dimensions of the jet, while second order statistics, such as Turbulent Kinetic Energy, have been analyzed to characterize the turbulence structure governing the mixing processes. Subject Feature Tracking Velocimetry (FTV)simple jetnegatively buoyant jetturbulence To reference this document use: http://resolver.tudelft.nl/uuid:9e32b3d5-eae0-4012-9020-7b32079b4787 Part of collection Conference proceedings Document type conference paper Rights (c) 2013 Ferrari, S.; Badas, M.G.; Besalduch, L.A.; Querzoli, G. Files PDF A132_Ferrari_etal_PIV2013_paper.pdf 143.02 KB Close viewer /islandora/object/uuid:9e32b3d5-eae0-4012-9020-7b32079b4787/datastream/OBJ/view