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FBG-Based Sensor for the Assessment of Heat Transfer Rate of Liquids in a Forced Convective Environment

The assessment of heat transfer is a complex task, especially for operations in the oil and gas industry, due to the harsh and flammable workspace. In light of the limitations of conventional sensors in harsh environments, this paper presents a fiber Bragg grating (FBG)-based sensor for the assessme...

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Autores principales: Lazaro, Renan, Frizera-Neto, Anselmo, Marques, Carlos, Castellani, Carlos Eduardo Schmidt, Leal-Junior, Arnaldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538806/
https://www.ncbi.nlm.nih.gov/pubmed/34696136
http://dx.doi.org/10.3390/s21206922
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author Lazaro, Renan
Frizera-Neto, Anselmo
Marques, Carlos
Castellani, Carlos Eduardo Schmidt
Leal-Junior, Arnaldo
author_facet Lazaro, Renan
Frizera-Neto, Anselmo
Marques, Carlos
Castellani, Carlos Eduardo Schmidt
Leal-Junior, Arnaldo
author_sort Lazaro, Renan
collection PubMed
description The assessment of heat transfer is a complex task, especially for operations in the oil and gas industry, due to the harsh and flammable workspace. In light of the limitations of conventional sensors in harsh environments, this paper presents a fiber Bragg grating (FBG)-based sensor for the assessment of the heat transfer rate (HTR) in different liquids. To better understand the phenomenon of heat distribution, a preliminary analysis is performed by constructing two similar scenarios: those with and without the thermal insulation of a styrofoam box. The results indicate the need for a minimum of thermal power to balance the generated heat with the thermal losses of the setup. In this minimum heat, the behavior of the thermal distribution changes from quadratic to linear. To assess such features, the estimation of the specific heat capacity and the thermal conductivity of water are performed from 3 W to 12 W, in 3 W steps, resulting in a specific heat of 1.144 cal/g °C and thermal conductivity of 0.5682 W/m °C. The calibration and validation of the HTR sensor is performed in a thermostatic bath. The method, based on the temperature slope relative to the time curve, allowed for the measurement of HTR in water and Kryo 51 oil, for different heat insertion configurations. For water, the HTR estimation was 308.782 W, which means an uncertainty of 2.8% with the reference value of the cooling power (300 W). In Kryo 51 oil, the estimated heat absorbed by the oil was 4.38 kW in heating and 718.14 kW in cooling.
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spelling pubmed-85388062021-10-24 FBG-Based Sensor for the Assessment of Heat Transfer Rate of Liquids in a Forced Convective Environment Lazaro, Renan Frizera-Neto, Anselmo Marques, Carlos Castellani, Carlos Eduardo Schmidt Leal-Junior, Arnaldo Sensors (Basel) Article The assessment of heat transfer is a complex task, especially for operations in the oil and gas industry, due to the harsh and flammable workspace. In light of the limitations of conventional sensors in harsh environments, this paper presents a fiber Bragg grating (FBG)-based sensor for the assessment of the heat transfer rate (HTR) in different liquids. To better understand the phenomenon of heat distribution, a preliminary analysis is performed by constructing two similar scenarios: those with and without the thermal insulation of a styrofoam box. The results indicate the need for a minimum of thermal power to balance the generated heat with the thermal losses of the setup. In this minimum heat, the behavior of the thermal distribution changes from quadratic to linear. To assess such features, the estimation of the specific heat capacity and the thermal conductivity of water are performed from 3 W to 12 W, in 3 W steps, resulting in a specific heat of 1.144 cal/g °C and thermal conductivity of 0.5682 W/m °C. The calibration and validation of the HTR sensor is performed in a thermostatic bath. The method, based on the temperature slope relative to the time curve, allowed for the measurement of HTR in water and Kryo 51 oil, for different heat insertion configurations. For water, the HTR estimation was 308.782 W, which means an uncertainty of 2.8% with the reference value of the cooling power (300 W). In Kryo 51 oil, the estimated heat absorbed by the oil was 4.38 kW in heating and 718.14 kW in cooling. MDPI 2021-10-19 /pmc/articles/PMC8538806/ /pubmed/34696136 http://dx.doi.org/10.3390/s21206922 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lazaro, Renan
Frizera-Neto, Anselmo
Marques, Carlos
Castellani, Carlos Eduardo Schmidt
Leal-Junior, Arnaldo
FBG-Based Sensor for the Assessment of Heat Transfer Rate of Liquids in a Forced Convective Environment
title FBG-Based Sensor for the Assessment of Heat Transfer Rate of Liquids in a Forced Convective Environment
title_full FBG-Based Sensor for the Assessment of Heat Transfer Rate of Liquids in a Forced Convective Environment
title_fullStr FBG-Based Sensor for the Assessment of Heat Transfer Rate of Liquids in a Forced Convective Environment
title_full_unstemmed FBG-Based Sensor for the Assessment of Heat Transfer Rate of Liquids in a Forced Convective Environment
title_short FBG-Based Sensor for the Assessment of Heat Transfer Rate of Liquids in a Forced Convective Environment
title_sort fbg-based sensor for the assessment of heat transfer rate of liquids in a forced convective environment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538806/
https://www.ncbi.nlm.nih.gov/pubmed/34696136
http://dx.doi.org/10.3390/s21206922
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