Intensity-interrogated hot-wire anemometer based on chirp effect of a fiber Bragg grating

Zhang, Jiarui; Tang, Yuhan; Xu, Pengbai; Xu, Ou; Dong, Xinyong

doi:10.1364/oe.470781

Cited by 8 publications

(7 citation statements)

References 25 publications

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“…It should be noted that achieving a uniform unit conversion across all the reviewed flowmeters is challenging due to the specifics of the interrogation methods implemented in each case. As can be seen from the table, several technologies have been implemented to realize flowmeters for accurate monitoring and measurement of gas and liquid flows, including microelectromechanical (MEMS) 29 , piezoelectric 30 , electroconductive 31 , 32 and optical 6 , 7 , 33 – 35 sensors.…”

Section: Resultsmentioning

confidence: 99%

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Microfluidic flowmeter based on a liquid crystal-filled nested capillary

Wang,

Mallik,

Wei

et al. 2024

Commun Eng

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Microfluidic flowmeters are a powerful and highly accurate tool, enabling precise monitoring and measurements of flows of gases and fluids in a range of applications. Here we proposed and experimentally demonstrated a whispering gallery modes flowmeter composed of a liquid crystal-filled nested capillary. Whispering gallery modes are excited by a tapered fiber coupled perpendicularly to the nested capillary. The air flowing through the capillary cools it down, which leads to a temperature-induced change of the refractive index of the nematic liquid crystals. This change in turn leads to a spectral shift of the whispering gallery modes resonances, which can be linked to the airflow rate in the capillary. The temperature change in the liquid crystals was simulated considering the heat transfer between the liquid crystals and airflow in the capillary, which indicated that the liquid crystals temperature decreases in a nonlinear manner with the increase of the airflow rate. A flowmeter with the maximum sensitivity of 0.3423 nm·min·mL−1 in the flowrate range from 0 to 2.52 nm·min·mL−1 and a resolution of 5.72 pm was demonstrated in our experiment. The proposed sensor provides a platform for whispering gallery modes flowmeters and offers the advantages of good stability, high sensitivity, and miniature size.

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Section: Resultsmentioning

confidence: 99%

“…As can be seen from the table, several technologies have been implemented to realize flowmeters for accurate monitoring and measurement of gas and liquid flows, including microelectromechanical (MEMS) 29 , piezoelectric 30 , electroconductive 31 , 32 and optical 6 , 7 , 33 – 35 sensors.…”

Section: Resultsmentioning

confidence: 99%

Microfluidic flowmeter based on a liquid crystal-filled nested capillary

Wang,

Mallik,

Wei

et al. 2024

Commun Eng

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“…This relationship is the ideal result, based on the simplification of L-shape cantilever beam boundary conditions and geometric conditions according to material mechanics. In practice, if the strain of the grating sticker is not uniform, it will cause the chirp of the grating [19,20], which in turn affects the accuracy of the grating sensor. Therefore, it is necessary to do further study on whether the strain of the L-shape cantilever beam in the axial direction of the grating is uniform.…”

Section: Numerical Simulation Of Force Characteristic Of L-shape Cant...mentioning

confidence: 99%

Construction and Application of On-Line Roof Separation Monitoring System Based on High-Precision FBG Indicator

Wang

et al. 2023

Sustainability

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Aiming at the existing problems of low efficiency, lagging monitoring results, and poor reliability and accuracy in the present roadway roof separation monitoring system, a high-precision Fiber Bragg Grating (FBG) separation indicator is designed through theoretical analysis, numerical simulation, and laboratory tests—according to the fiber grating sensing principle. Based on the Microsoft. Net platform, C# programming language, and VS2010 integrated development tools, the corresponding on-line monitoring software is developed. On this basis, a real-time on-line roof separation monitoring system is proposed. The high-precision FBG separator was calibrated and tested in the laboratory and results suggested that both the left and right arm demonstrate good sensitivity and linearity with linear fitting coefficient values of 0.9981 and 0.9979, respectively. The monitoring system was successfully applied to roof separation monitoring of the #14301 rail roadway in the Shaqu coal mine. The monitoring results showed that the on-line roof separation monitoring system based on the high-precision FBG separation indicator has the advantages of high precision, good stability, and long-distance signal transmission, which can achieve real-time dynamic monitoring and provides an effective method for long-term on-line monitoring of roadway roof separation.

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“…Its shape is generally complex; thus, it is also difficult to achieve compactness, similar to the mechanical type. The hot wire type can measure a breeze and miniaturize its shape [13]- [17]. However, it has the disadvantage of being sensitive to temperature and humidity, limiting its use indoors.…”

Section: Introductionmentioning

confidence: 99%

Neural Network-Based Airflow Vector Sensor Using Multiple MEMS Differential Pressure Sensors

2023

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As airflow information is significant in various fields, several airflow measurement devices have been developed. Differential pressure (DP)-type sensors, including pitot tubes, are extensively used because they can directly measure dynamic pressure due to airflow. However, this method has a disadvantage in that it is difficult to measure some wind directions because of the non-monotonic pressure distribution around the device. This study proposes a compact sphere airflow vector sensor using a neural network model that compensates for nonmonotonicity. It consists of three built-in microelectromechanical system (MEMS)based DP sensor elements that simultaneously measure the DPs around the spherical sensor housing. The measured DPs are converted into 2D wind speed and direction using a neural network. The network model was trained using the simulated output of each sensor, and it was confirmed that the proposed design guideline contributed to achieving high accuracy. An airflow sensor was fabricated on the basis of the designed model. A network model was trained using the sensor responses in a wind tunnel experiment. The wind speed and direction accuracies obtained by the neural network model for 2-10 m/s and 0°-359° were 0.24 m/s and 3.62°, respectively. Finally, we demonstrated a drone flight test by attaching the calibrated sensor to a toy drone. This study is expected to contribute to realizing highly accurate low airflow measurement devices.INDEX TERMS Airflow sensor, neural network, differential pressure sensor, machine learning, drone. FIGURE 1. Conceptual diagram of the proposed airflow vector sensor.

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Intensity-interrogated hot-wire anemometer based on chirp effect of a fiber Bragg grating

Cited by 8 publications

References 25 publications

Microfluidic flowmeter based on a liquid crystal-filled nested capillary

Microfluidic flowmeter based on a liquid crystal-filled nested capillary

Construction and Application of On-Line Roof Separation Monitoring System Based on High-Precision FBG Indicator

Neural Network-Based Airflow Vector Sensor Using Multiple MEMS Differential Pressure Sensors

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