Velocity Measurement of Gas–Liquid Slug Flows Using Multichannel Ultrasonic Doppler Sensor System

IF 5.6 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Instrumentation and Measurement Pub Date : 2024-10-23 DOI:10.1109/TIM.2024.3485430
Lusheng Zhai;Junxi Liu;Bo Xu;Yukun Huang;Ningde Jin
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Abstract

Horizontal gas-liquid slug flows are widely encountered in important industrial processes. Bubble velocity measurement is of great significance for understanding the heat/mass transfer and flow pattern transitions, and thus optimizing the industrial processes. Multiscale bubbles in slug flow are characterized by complicated interactions and thus exhibit intricate transient behaviors, making the velocity measurement exceedingly challenging. In this study, a multichannel ultrasonic Doppler sensor (MCUDS) is proposed to measure the bubble velocities in gas-liquid slug flows. The MCUDS features region-focused characteristics and thus yields high sensitivity at different measurement depths. A field programmable gate array (FPGA)-based measurement system is designed to generate pulse ultrasonic signals and implement rapid and stable data acquisition, processing, and transmission. A Taylor bubble tracking method based on the effective information ratio is proposed to measure the velocities of the nose and tail of Taylor bubbles. Doppler pulse repetition method (DPRM) with a sliding window is combined with the expanded autocorrelation (EAC) algorithm to derive the Doppler shift. The research results indicate that integrating a sliding window into the DPRM effectively improves the temporal resolution of bubble velocity measurements, thereby accurately constructing the spatiotemporal distribution of the velocity vectors of dispersed bubbles. This allows for the revelation of the complex motion processes of bubbles and the slug aeration characteristics under different gas-liquid flow conditions.
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利用多通道超声多普勒传感器系统测量气液蛞蝓流的速度
在重要的工业流程中,会广泛遇到水平气液悬浮流。气泡速度测量对于了解热量/质量传递和流动模式转换,进而优化工业流程具有重要意义。蛞蝓流中的多尺度气泡具有复杂的相互作用,因此表现出错综复杂的瞬态行为,这使得速度测量极具挑战性。本研究提出了一种多通道超声多普勒传感器(MCUDS),用于测量气液蛞蝓流中的气泡速度。MCUDS 具有区域聚焦特性,因此在不同测量深度下都能产生高灵敏度。设计了一种基于现场可编程门阵列 (FPGA) 的测量系统,用于生成脉冲超声波信号,并实现快速稳定的数据采集、处理和传输。提出了一种基于有效信息比的泰勒气泡跟踪方法,用于测量泰勒气泡头部和尾部的速度。采用滑动窗口的多普勒脉冲重复法(DPRM)与扩展自相关(EAC)算法相结合,得出多普勒频移。研究结果表明,在 DPRM 中加入滑动窗口可有效提高气泡速度测量的时间分辨率,从而准确构建分散气泡速度矢量的时空分布。这样就能揭示气泡的复杂运动过程以及不同气液流动条件下的蛞蝓曝气特性。
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来源期刊
IEEE Transactions on Instrumentation and Measurement
IEEE Transactions on Instrumentation and Measurement 工程技术-工程:电子与电气
CiteScore
9.00
自引率
23.20%
发文量
1294
审稿时长
3.9 months
期刊介绍: Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.
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