This is the third phase report of the present NEER project. The overall goal, as d e s m i d in the initial report (report fbr phase l), was to develop a state-of-the-art; non-intrusive diagnostic tool to perform simultaneous measurements of both the temporal and threedimensional spatial velocity of the two phases of a bubbly flow. These measurements are required to provide a ikwndation for studying the constitutive closure relations needed in computational fluid dynamics and best-estimate thermal hydraulic codes employed in nuclear reactor safety analysis and severe accident simulation. Such kinds of I11-field measurements are not achievable through the commonly used point-measurement techniques, such as hot wire, conductance probe, laser Doppler anemometry, etc. The results c8fl also be used in several other applications, such as the dynamic transport of pollutants in water or studies of the dispersion of hazardous waste. A hybrid of the stereoscopic Particle Tracking Velocimetry (PTV) and the Shadow Image Velocimetry (SIV) flow measurement techniques was developed to provide threedimensional full-volume and transient velocity fields of the phases of a bubbly flow.This hybrid flow measurement technique was applied to provide us with the shape%d trajectory of a single air bubble rising in stagnant water, in a restricted medium. Pattern recognition algorithms were used to track the seed tracers embedded in the flow. These algorithms were proven to accurately describe the flow field in regions of low and high velocity gradients. Two tracking were used an Architecture Resonance Theory 2 Neural Network (ART2 NN) and the Spring Model (SM). The ART2 NN tracks tracer particles during h u r consecutive M e s , so it provides not only the velocity vector, but also the acceleration in a Lagrangian reference fiame. For regions of high velocity gradient, the SM was able to accurately track the tracer particles within two consecutive fkmes. These two pattern recognition-based algorithms were applied independently to the flow images. By combining the information fiom both tracking techniques, the fullvolume, three-dimensional velocity field was determined. The ART2 NN provided infbrmation of regions surrounding the rising bubble, while the SM descriied the flow in the bubble wake. The developed imaging and pattern recognition techniques used for this study can also be applied to medical imaging.
1In the Phase I report, a description of the constructed test hcility was presented. The camera calibration technique and a method to reduce refiaction problems were developed and presented. In addition, the PTV and SIV flow measurement techniques and tracking routines the ART2 NN and the SM were described and validated. During Phase n, the bubble shape and trajectory of the dispersed phase were obtained utilizing the developed state-of-the-art SIV technique. The wall influence on the shape and motion of the bubble was investigated. The magnitude and coefficients of the drag and lift forces acting on the bubble were also infenred fio...