水平环形流动中基于流动噪声解耦的界面波参数测量

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Ning Zhao , Wendi Ma , Xiayan Jiang , Qing Wang , Xinlong Li , Lide Fang , Fan Wang
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引用次数: 0

摘要

环空流动是一种典型的气液两相流型,其界面行为特征对装置的稳定运行有重要影响。界面波参数反映了界面波波动的空间行为,是研究环空流动机理的必要条件。本研究设计了基于声发射技术的界面波参数测量方法。实验测量了不同流动条件下水平管环空流动的界面波参数。对不同流动条件下的环空流噪声信号进行了测量,利用变分模态分解的Whale优化算法对声发射信号进行了评价。通过分析初始信号的能量和熵,实现了环空流噪声的解耦。通过对流噪声信号进行时域分析,确定了扰动波频率和扰动波速。在此基础上,利用CatBoost算法建立了环形流动中扰动波频率和速度的预测模型。结果表明:扰动波频率预测模型的MAPE为9.84%,85.00%的实验点的相对误差在±15%的范围内。扰动波速预测模型的MAPE为4.31%,95.00%的实验点的相对误差在±15%的范围内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interfacial wave parameters measurement based on flow noise decoupling in horizontal annular flow
Annular flow is a typical gas–liquid two-phase flow pattern, where interface behavior characteristics significantly affect the stable operation of devices. Interfacial wave parameters reflect the spatial behavior of interfacial wave fluctuations, making them essential for studying annular flow mechanisms. This study designs the measurement method for interfacial wave parameters depending on acoustic emission technique. The interfacial wave parameters of a horizontal pipe’s annular flow are measured experimentally under various flow conditions. The noise signals of annular flow with various flow conditions are measured, and the Whale Optimization Algorithm for Variational Mode Decomposition is used to evaluate the acoustic emission signals. By analyzing the initial signals’ energy and entropy, the decoupling of annular flow noise is achieved. The disturbance wave frequency and disturbance wave velocity are determined by analyzing the flow noise signals in the time domain. Reynolds number and intrinsic mode component energy are extracted, then the CatBoost algorithm is used to create a prediction model for the frequency and velocity of disturbance waves in annular flow. The results show that the MAPE of the disturbance wave frequency prediction model is 9.84 %, with 85.00 % of the experimental points having a relative error within ± 15 % band. The MAPE of the disturbance wave velocity prediction model is 4.31 %, with 95.00 % of the experimental points having a relative error within ± 15 % band.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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