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Flow Analysis on Solid-Liquid Two-Phase Flows by Using the Image Processing

利用图像处理进行固液两相流的流动分析

基本信息

批准号：
01460206
负责人：
MASUYAMA Tadashi
金额：
$ 2.24万
依托单位：
Tohiku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (B)
财政年份：
1989
资助国家：
日本
起止时间：
1989 至 1990
项目状态：
已结题

项目摘要

1. Objective : In designing a hydraulic transport system of solid particles through pipelines, the pump capacity is generally determined, based on the pressure loss for slurries. The pressure loss is closely related to the particle behavior in pipelines. Therefore, this research objective is to obtain a large quantity of data on the particle behavior by using the image processing, and to stochastically investigate the particle behavior.2. Approach : in order to approach the above mentioned objective, the following phases were organized. (1) Measurement and estimation of solid concentration profiles by the shutoff method and by the image processing technique. (2) Lagrangian analysis on the behavior of tracer particles by the image processing technique. (3) Measurement of the pressure loss for air-solid-liquid three phase flows.3. Results : (1) The threshold values to conduct the thresholding were determined by analyzing the video image of O-12 overlapping particles. The solid concentration profiles were estimated by the image processing technique using the above threshold values, and were compared with the experimental results. It was confirmed that the agreement was satisfactory. (2) It was found that the Probability Density Function (PDF) of saltation length and height had two peaks, and these were corresponded to the behavior of rolling・sliding and saltation of particles. The modelling of the motion of saltating particles was conducted, and the simulation on particle behavior was performed. The simulated PDF of the saltation length and height approximately agreed with the experimental ones. (3) The pressure loss reduction for air-solid-liquid three phase flows was observed in the vicinity of the critical velocity, and it was confirmed that the pressure loss was predicted by the two-layer model.

1.目的：在设计固体颗粒管道水力输送系统时，泵的容量通常是根据浆体的压力损失来确定的。压力损失与管道内颗粒的行为密切相关。因此，本研究的目的是利用图像处理技术获取大量关于颗粒行为的数据，并对颗粒行为进行随机考察。方法：为实现上述目标，组织了以下几个阶段。(1)用截止法和图像处理技术测量和估计固体浓度分布。(2)利用图像处理技术对示踪粒子的行为进行拉格朗日分析。(3)气固液三相流压力损失的测量。结果：(1)通过分析O-12重叠粒子的视频图像，确定了进行阈值分割的阈值。利用上述阈值，利用图像处理技术估算了固体浓度分布，并与实验结果进行了比较。经证实，协议令人满意。(2)跃迁长度和跃迁高度的概率密度函数(PDF)有两个峰值，分别对应于颗粒的滚动、滑动和跃迁行为。对跳跃粒子的运动进行了建模，并对粒子的行为进行了模拟。计算得到的跃迁长度和高度的概率密度函数与实验值基本吻合。(3)在临界速度附近观察到气-固-液三相流动的压力损失减小，证实了两层模型对压力损失的预测。