Bubble velocity measurement with a recursive cross correlation PIV technique
Bubble velocity measurement with a recursive cross correlation PIV technique
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DOI：
10.1016/j.flowmeasinst.2004.08.002
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发表时间：
2005-03-01
影响因子：
2.2
通讯作者：
Yamamoto, F
中科院分区：
文献类型：
--
作者：
Cheng, W;Murai, Y;Yamamoto, F
提出了一种测量高气泡数密度下气泡速度场的图像分析方法。它基于计算具有多个空间分辨率的气泡图像的互相关性，即递归互相关技术。比较几种 PTV 和 PIV 方案，证实递归互相关由于对气泡光学和动态特性的鲁棒性而带来最佳测量结果。该方法成功应用于测量气泡羽流中伴随着宽频率范围内强烈不稳定的气泡运动。结果表明，气泡速度的高频波动在剪切层和顶面附近增长，而低频波动在罐体中部占主导地位。特征频率将气泡波动强度的频谱分为两个区域：存在湍流行为的区域和气泡羽流中存在宏观对流模式的区域。 (C) 2004 Elsevier Ltd. 保留所有权利。
An image analysis method for measuring bubble velocity fields at high bubble number density is proposed. It is based on computing the cross correlation of bubble images with multiple spatial resolutions, i.e. a recursive cross correlation technique. Comparing several PTV and PIV schemes, it is confirmed that the recursive cross correlation leads to the best measurement results because of the robustness with respect to optical and dynamic characteristics of bubbles. The method is applied successfully to the measurement of bubble motion in bubble plumes accompanying a strong unsteadiness over a wide frequency range. The results reveal that the high frequency fluctuations of bubble velocities grow in the shear layer and near the top surface, while low frequency fluctuations dominate in the middle part of the tank. The characteristic frequency divides the frequency spectrum of the bubble fluctuation intensity into two regions: where there are turbulent behaviors and where there are macroscopic convection patterns in the bubble plumes. (C) 2004 Elsevier Ltd. All rights reserved.