使用双光纤光栅粘性力传感器的两相流持率计

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Tianxi Zhang;Haozhe Ji;Minghui He;Ruohui Wang;Dan Su;Xueguang Qiao
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引用次数: 0

摘要

在本文中,我们提出了一种基于双光纤布拉格光栅(FBG)的传感器来测量两相流的持率。该传感器由双光纤光栅和在流体中具有切向运动的柔性片组成。切向运动可以通过光纤光栅波长位移来测量。测试结果表明,流量、持率和温度与光纤光栅的波长位移有关。这意味着当流量和温度已知时,可以通过FBG波长信号计算出持率。双光纤光栅采用差分放大来提高灵敏度并消除自温效应。该柔性薄片的厚度为0.1 mm,尺寸为10 × 20 mm,减小了法向力,增加了切向力。经验证,该传感器可测量管道中油水混合物不同含率的含率,误差为6.69% ~ 12.67%。这些测量为两相流传感引入了一种新的原理,为光纤持率传感器的发展提供了可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-Phase Flow Holdup Meter Using a Double-FBG Viscous Force Sensor
In this article, we propose a double-fiber Bragg grating (FBG)-based sensor for measuring the holdup of two-phase flow. The sensor consists of a double-FBG and a flexible sheet that has tangential movement in the fluid. The tangential movement can be measured by FBG wavelength shift. The test results show that the flow rate, holdup, and temperature are related to the FBG wavelength shift. This means that the holdup can be calculated by the FBG wavelength signal when the flow rate and temperature are known. A double-FBG uses differential amplification to enhance sensitivity and eliminate the self-temperature effect. The flexible sheet, with a thickness of 0.1 mm and a size of $10\times 20$ mm, reduces the normal force and increases the tangential force. The sensor was verified to measure the holdup of the different holdup of oil-water mixtures in the pipeline, with an error of 6.69%–12.67%. The measurements introduce a novel principle for two-phase flow sensing, proposing possibilities for the advancement of optical fiber holdup sensors.
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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