High-resolution wall temperature measurements with distributed fiber optic sensors

Höller, David; Vaghetto, Rodolfo; Hassan, Yassin A.

doi:10.1016/j.ijthermalsci.2019.106042

Cited by 8 publications

(4 citation statements)

References 30 publications

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“…The frequency shift amount

is a function of the temperature difference

and the strain

of the optical fiber from a reference state. The relationship is given by the following equation [ 6 , 10 ],

where

and

are proportional constants, which are determined in the calibration process. If the fiber strain is kept unchanged, the temperature can be estimated from Equation (1) and

.…”

Section: Measurement Methodsmentioning

confidence: 99%

“…Lomperski et al evaluated the measurement error of optical fiber thermometers [ 6 , 10 , 15 ]. The measurement error of the optical fiber thermometer was reported to be ±3.38 °C [ 15 ].…”

Section: Calibration and Measurement Performancementioning

confidence: 99%

“…Thermocouples for temperature and hot wire anemometers [ 5 ] for flow velocity are widely used because they are simple and accurate. On the other hand, immersing these sensors in the measurement domain disturbs the temperature and flow fields, resulting in only a few selected points being measured [ 6 ]. Two optical methods are combined to measure temperature and flow fields: Hanwook Park [ 7 ] and Stig Grafsrønningen et al [ 8 ] used PIV (Particle Image Velocimetry) and Laser Induced Fluorescence with phosphor tracer particles, and In Mei Sou et al [ 9 ] used PIV and Thermography.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Development of Measurement Method for Temperature and Velocity Field with Optical Fiber Sensor

Sekine

Furuya

2023

Sensors

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We have developed a new method for measuring temperature and velocity at a high spatial resolution (minimum 2.56 mm pitch along an optical fiber). The developed method uses the same principle as a hot wire anemometer, where the velocity perpendicular to an optical fiber is estimated as a function of the cooling curve of a gold-coated layer on the optical fiber Joule-heated intermittently. The developed optical fiber sensor demonstrated the ability to acquire a transient velocity profile in airflow experiments with high repeatability and accuracy. This paper describes optical fiber-based velocity measurement in the velocity range of approximately 0–7 m/s with an error of approximately 10% compared to a hot wire anemometer and a new method for simultaneous temperature and velocity measurements. Applicability to velocity distribution measurements and seconds transient velocity changes are also described.

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“…The frequency shift amount

is a function of the temperature difference

and the strain

of the optical fiber from a reference state. The relationship is given by the following equation [ 6 , 10 ],

where

and

are proportional constants, which are determined in the calibration process. If the fiber strain is kept unchanged, the temperature can be estimated from Equation (1) and

.…”

Section: Measurement Methodsmentioning

confidence: 99%

“…Lomperski et al evaluated the measurement error of optical fiber thermometers [ 6 , 10 , 15 ]. The measurement error of the optical fiber thermometer was reported to be ±3.38 °C [ 15 ].…”

Section: Calibration and Measurement Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Development of Measurement Method for Temperature and Velocity Field with Optical Fiber Sensor

Sekine

Furuya

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…It is a highly risky and difficult task to detect the temperature of visible sources of heat, such as incandescent lamps, furnaces, burners, boilers, etc., with the support of sensors [4]. In addition, the installation of conventional sensors like resistance temperature detectors (RTD) close to hightemperature heat sources is remarkably challenging [5,6].…”

Section: Introductionmentioning

confidence: 99%

Guided Co-operative Waderhunt Neural Network for Measuring the Temperature of Visible Heat Source

2023

IJIES

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In this article, a novel optimization-assisted deep learning (OptiA-DL) strategy is proposed to effectively measure the temperature of visible heat sources. Initially, the image is acquired from the heat source and filtered using gelatin paper. The guided co-operative trilateral filter (GCTF) is used for image smoothening and HSV (Hue, Saturation, Value) or RGB (Red, Green, Blue) structure for colour transformation. Then, an improved Gaussian mixture model (IG-MM) is applied to segment the image into various portions. Accordingly, the compact split attention-based convolutional waderhunt autoencoder network (CSAtt-CWAN) is used for temperature prediction. In CSAtt-CWAN, the parameters are tuned using the waderhunt optimization algorithm (WHOA). The proposed OptiA-DL strategy is implemented in the Python platform through the candle flame dataset and assessed the performance in terms of different evaluation measures. Moreover, a proposed OptiA-DL's performance is compared with existing methods to determine its efficiency in temperature measurement. The minimum mean square error (MSE) value obtained by the proposed OptiA-DL strategy is 0.076, which is lower than the existing methods for measuring the temperature of the visible heat source.

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Advanced flow and temperature measurements in a forced convection molten salt test loop

Arora

Lancaster

Yang

et al. 2021

Annals of Nuclear Energy

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High-resolution wall temperature measurements with distributed fiber optic sensors

Cited by 8 publications

References 30 publications

Development of Measurement Method for Temperature and Velocity Field with Optical Fiber Sensor

Development of Measurement Method for Temperature and Velocity Field with Optical Fiber Sensor

Guided Co-operative Waderhunt Neural Network for Measuring the Temperature of Visible Heat Source

Advanced flow and temperature measurements in a forced convection molten salt test loop

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