Automated Horizontal Slurry Flow Regime Recognition Using Statistical Analysis of the ERT Signal
Automated Horizontal Slurry Flow Regime Recognition Using Statistical Analysis of the ERT Signal
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使用 ERT 信号统计分析自动识别水平浆料流态
DOI：
10.1016/j.proeng.2015.01.198
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Faraj Y
中科院分区：
文献类型：
--
作者：
Faraj Y
流态识别不仅对于流的表征有用，而且对于建模、系统控制以及流态相关流量计的优化和校正的目的也有用。本文提出了一种新的间接的方法，在线识别的积极水平浆流状态使用统计信号分析获得的测量与高性能电阻层析成像系统（ERT）。从时域和频域提取ERT信号的重要特征。使用中试规模的浆料流动回路进行了一组实验，通过该浆料流动回路将砂和自来水的混合物泵送到内径为50 mm的测试段中。所有常见的泥浆流状态被认为是在识别计划，包括过渡制度的边界覆盖的运输速度范围为1.5-5米/秒。在实验中使用了两种类型的砂，中砂（75-900 μm）和粗砂（150-2200 μm），每种砂具有不同的通过量体积浓度，2%和10%。1.2测试段中包含m的透明管段，以便目视检查当前的流态并捕获流动的摄影图像。开发了一个代码，不仅使识别的活跃的流动状态，但也可视化的固体颗粒的分布在整个管道横截面和显示的平均固体体积分数。对所提出的识别方法的评价表明，成功率为90.32%。
Flow regime recognition is not only useful for characterisation of the flow, but also for the purpose of modeling, system controls and optimization and correction of flow regime dependent flow meters. This paper proposes a new indirect method for on-line recognition of the active horizontal slurry flow regime using statistical signal analysis of measurements obtained with a high performance Electrical Resistance Tomography system (ERT). Significant features of the ERT signal are extracted from both time domain and frequency domain. A set of experiments were carried out using a pilot-scale slurry flow loop, through which a mixture of sand and tap water was pumped into a 50 mm inner-diameter test section. All common slurry flow regimes are considered in the recognition scheme, including the transitional regime boundaries covering the transport velocity range of 1.5-5 m/s. Two types of sand are used in the experiments, medium (75-900 μm) and coarse (150-2200 μm), each with different throughput volumetric concentration, 2% and 10%. 1.2 m transparent pipe section was included into the test section, so as to visually inspect the prevailing flow regime and capture photographic images of the flow. A code was developed not only to render the recognition of the active flow regime, but also to visualise the distribution of the solid particles across the pipe cross-section and display the mean solids volume fraction. The evaluation of the proposed recognition method suggests 90.32% successful rate.
通过牛顿层流进行固体输送
DOI：
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发表时间：
1999
期刊：
影响因子：
--
作者：
R. Gillies;K. B. Hill;M. McKibben;C. A. Shook
通讯作者：
C. A. Shook