Fiber optic distributed temperature sensor mapping of a jet-mixing flow field

Lomperski, S.; Gerardi, C.; Pointer, W. David

doi:10.1007/s00348-015-1918-6

Cited by 21 publications

(15 citation statements)

References 48 publications

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“…Vibration is of special concern for bare fiber strung across a large test section. We have had mixed success with a verticallyoriented array that spans the long axis of the tank at segment lengths of 1.7 m. A configuration with 28 m of fiber and 16 segments performed well during one study 18 , but attempts to extend it to 53 m with 29 segments was unsuccessful 16 .…”

Section: Discussionmentioning

confidence: 99%

“…NOTE: This critical step establishes the DTS baseline and the signal should now indicate zero, i.e., ΔT(x)=0 ± a fraction of a degree. From now on, the signal will vary as tank temperature diverges from the reference temperature: ΔT(x) = T(x) abs -T base , where T(x) abs is the absolute temperature along the fiber and T base is the baseline temperature 6,18 . If the test section is nonisothermal, T base will be a function of position, i.e., T base (x), and accuracy will be compromised unless T base (x) is mapped with more than one TC or RTD (see discussion section).…”

Section: Sensor Baseline: the Link To Absolute Temperaturementioning

confidence: 99%

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Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Lomperski

Gerardi

Lisowski

2016

JoVE

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The reliability of computational fluid dynamics (CFD) codes is checked by comparing simulations with experimental data. A typical data set consists chiefly of velocity and temperature readings, both ideally having high spatial and temporal resolution to facilitate rigorous code validation. While high resolution velocity data is readily obtained through optical measurement techniques such as particle image velocimetry, it has proven difficult to obtain temperature data with similar resolution. Traditional sensors such as thermocouples cannot fill this role, but the recent development of distributed sensing based on Rayleigh scattering and swept-wave interferometry offers resolution suitable for CFD code validation work. Thousands of temperature measurements can be generated along a single thin optical fiber at hundreds of Hertz. Sensors function over large temperature ranges and within opaque fluids where optical techniques are unsuitable. But this type of sensor is sensitive to strain and humidity as well as temperature and so accuracy is affected by handling, vibration, and shifts in relative humidity. Such behavior is quite unlike traditional sensors and so unconventional installation and operating procedures are necessary to ensure accurate measurements. This paper demonstrates implementation of a Rayleigh scattering-type distributed temperature sensor in a thermal mixing experiment involving two air jets at 25 and 45 °C. We present criteria to guide selection of optical fiber for the sensor and describe installation setup for a jet mixing experiment. We illustrate sensor baselining, which links readings to an absolute temperature standard, and discuss practical issues such as errors due to flow-induced vibration. This material can aid those interested in temperature measurements having high data density and bandwidth for fluid dynamics experiments and similar applications. We highlight pitfalls specific to these sensors for consideration in experiment design and operation.

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Section: Discussionmentioning

confidence: 99%

Section: Sensor Baseline: the Link To Absolute Temperaturementioning

confidence: 99%

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Lomperski

Gerardi

Lisowski

2016

JoVE

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“…A basic description of the DTS technique used in this work is included below while a detailed description can be found in Lomperski et al (2015Lomperski et al ( , 2013 and Lomperski and Gerardi (2014).…”

Section: Temperature Sensing With Optical Fibersmentioning

confidence: 99%

“…This paper describes high-resolution liquid-sodium temperature and level measurements using Rayleigh-backscatter-based distributed fiber optic temperature sensors (Griffiths, 2001;Gifford et al, 2007;Sang et al, 2008;Lomperski et al, 2015). These distributed temperature sensors (DTSs) have been shown to function well at temperatures up to 600°C (Lisowski et al, 2015), and on the exterior of sodium piping for leak detection (Kasinathan et al, 2012) and only recently have been immersed in a liquid sodium environment (Gerardi et al, 2015b;Weathered and Anderson, 2015).…”

Section: Introductionmentioning

confidence: 97%

Distributed temperature sensor testing in liquid sodium

Gerardi

Bremer

Lisowski

et al. 2017

Nuclear Engineering and Design

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h i g h l i g h t sDistributed temperature sensors measured high-resolution liquid-sodium temperatures. DTSs worked well up to 400°C. A single DTS simultaneously detected sodium level and temperature. a b s t r a c tRayleigh-backscatter-based distributed fiber optic sensors were immersed in sodium to obtain high-resolution liquid-sodium temperature measurements. Distributed temperature sensors (DTSs) functioned well up to 400°C in a liquid sodium environment. The DTSs measured sodium column temperature and the temperature of a complex geometrical pattern that leveraged the flexibility of fiber optics. A single Ø 360 lm OD sensor registered dozens of temperatures along a length of over one meter at 100 Hz. We also demonstrated the capability to use a single DTS to simultaneously detect thermal interfaces (e.g. sodium level) and measure temperature.Published by Elsevier B.V.

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“…The sensor fiber is minimally intrusive, can be used in opaque media and/or non line-of-sight situations, and can provide data density far beyond what is practically achievable with point sensors like thermocouples and RTDs. Results have recently been published using data from a Luna ODiSI A instrument and gold coated sensor fiber to map turbulent air flow patterns for validation of computational fluid dynamic models [12,13]. Similar applications using this technology to address critical challenges involve monitoring the temperature distribution in battery packs and electric drive train components to mitigate fire risk during high discharge conditions.…”

Section: Real-timmentioning

confidence: 99%

Optical frequency domain reflectometry: principles and applications in fiber optic sensing

et al. 2016

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Optical Frequency Domain Reflectometry (OFDR) is the basis of an emerging high-definition distributed fiber optic sensing (HD-FOS) technique that provides an unprecedented combination of resolution and sensitivity. OFDR employs swept laser interferometry to produce strain or temperature vs. sensor length with fiber Bragg gratings (FBGs) or Rayleigh scatter as the source signal. We look at the influence of HD-FOS on design and test of new, lighter weight, stronger and more fuel efficient vehicles. Examples include defect detection, model verification and structural health monitoring of composites, and temperature distribution monitoring of battery packs and inverters in hybrid and electric powertrains.

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Fiber optic distributed temperature sensor mapping of a jet-mixing flow field

Cited by 21 publications

References 48 publications

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping

Distributed temperature sensor testing in liquid sodium

Optical frequency domain reflectometry: principles and applications in fiber optic sensing

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