Abstract
A three-dimensional (3D) particle image tracking techniquewas used to study the coarse spherical particle-liquid flows in apipe. The flow images from both the front view and the normal sideview, which was reflected into the front view by a mirror, wererecorded with a CCD camera and digitized by a PC with an imagegrabber card. An image processing program was developed to enhanceand segment the flow image, and then to identify the particles. Over90% of all the particles can be identified and located from thepartially overlapped particle images using the circular Houghtransform. Then the 3D position of each detected particle wasdetermined by matching its front view image to its side view image.The particle velocity was then obtained by pairing its images insuccessive video fields. The measurements for the spherical expandedpolystyrene particle-oil flows show that the particles, like thespherical bubbles in laminar bubbly flows, tend to conglomerate nearthe pipe wall and to line up to form the particle clusters. As liquidvelocity decreases, the particle clusters disperse and more particlesare distributed in the pipe centre region.
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