流动模式:使用差压信号和机器学习识别垂直环中的空气水逆流流量
Feng Cao1, Ruirong Dang2, Bo Dang1
1Xi'an Shiyou University, Xi'an, 710065, China.
Scientific reports
|May 31, 2024
概括
本研究介绍了一种客观的方法,用于识别垂直环形中气液流程,使用差压数据和集群算法. 离心率的影响最小,除了接近流量状态的过渡.
科学领域:
- 多相流动动力学 多相流动力学
- 流体力学的流体力学
- 化学工程是化学工程的组成部分.
背景情况:
- 在许多工业应用中,垂直环形的气液双相逆流流在许多工业应用中至关重要.
- 由于内部管道存在和管道异常性,流量状态的界限往往不清楚.
- 需要客观和一致的流量模式识别方法.
研究的目的:
- 开发和验证一个客观的方法来分类气体液体两相逆流流程在垂直环形.
- 为了研究圆环异常度对流量模式识别的影响.
- 将拟议的方法与视觉识别进行准确性比较.
主要方法:
- 实验设置:可调节离心率的垂直圆环 (外径125毫米,内径75毫米).
- 数据收集:在不同的气体和液体表面速度下,在两个高度 (DP1: 50 mm,DP2: 1000 mm) 的压差信号.
- 分析:使用概率密度函数 (PDF) 的特征提取和功率光谱密度 (PSD) 的主要组件分析 (PCA). 使用CFDP算法进行流量模式集群.
主要成果:
- CFDP集群算法成功识别了不同的流动模式 (泡式,式,流动式).
- PSD分析显示了DP1 (0.5-1 Hz) 和DP2 (0.5-2 Hz) 的不同流动模式的特征频率范围.
- 圆环异常性通常对流动模式产生轻微影响,仅在过渡区 (例如,泡到流) 产生显著影响.
结论:
- 开发的方法提供了一个客观和一致的方法,用于将液态气体两相逆流流程系统分类为垂直环状.
- 拟议的方法显示了比视觉识别更高的准确性,特别是在具有挑战性的过渡区域.
- 了解流动模式和离心率的影响对于优化涉及垂直环状流的工业流程至关重要.
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