3-D PTV Measurement of Bubble Rising Flow in a Cylindrical Vessel.

Song, Xiang-qun; Yamamoto, Fujio; Iguchi, Manabu; Koketsu, Mitsuyuki; Chen, Gang

doi:10.2355/isijinternational.36.suppl_s54

Cited by 4 publications

(1 citation statement)

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“…Two of the past main problems of using the image processing in the past were: 1) moving particles could not be measured in the whole field; 2) considerable errors emerged in the case of three-dimensional distribution of partlcles. With 47 1 C 1999 ISIJ the rapid developmentof the imageprocessing technlques and computer hardware, the previous dlfficulties have been solved, e,g., the second problem can be so]ved by a three-dimensional coordinate calibration (Song, 1996)3) and for the first problem, PTV (Particle Imaging Velocimetry) Is a good choice.…”

Section: Introductionmentioning

confidence: 99%

Particle Imaging Velocimetry Measurement of Particle Number Rate and Velocity for Falling Particles.

et al. 1999

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The number of particles passing through the whole field of interest in a unit time, referred to as the articles particle numberrate, cannot be measuredaccurately and easily by the conventional methods when the numberdensity of particles is high. However, there are many demands for whole field measurement of the particle numberrate in various industrial processes. The purpose of the present investigation is to develop a new method for measuring the particle numberrate by introducing PIV (Particle Imaging Velocimetry).In the present work, particles coming out of a hopper, and then falling in air or water were treated. Images of the falling particles were taken by a high speed video camera. Particle velocities were measuredby the PIV based on the Binary Image Cross-Correlation Method (BICC), and the particle numberrate crossing a plane could be computedfrom the mean velocity of particles and the number of the particles in the image. The performance of the present method for measuring the particle numberrate was evaluated by numerical simulations and experiments. The experimental results showed that the particle numberrate of a cloud of particles could be measuredwith high accuracy by the newly developed methods. The measurement precision of the particle numbe~rate depends on the number of sampling video frames, Several seconds of video frames can yield sufficient precision of the particle numberrate. The present research can be applied to on-Iine measurement of particles in many industrial fields.

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Section: Introductionmentioning

confidence: 99%