Conjugate numerical simulation of wall temperature fluctuation at a T-junction pipe

Thermal fatigue cracks may occur in a T-junction pipe due to the mixing of hot and cold fluids. To develop an evaluation method for thermal fatigue, the authors previously performed a mixing tee experiment called the T-Cubic experiment. In this study, a fluid-structure coupled simulation for conjuga...

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Autores principales: Yoichi UTANOHARA, Koji MIYOSHI, Akira NAKAMURA
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Lenguaje:EN
Publicado: The Japan Society of Mechanical Engineers 2018
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Acceso en línea:https://doaj.org/article/653097856e304d69a7f46eefea3fff31
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spelling oai:doaj.org-article:653097856e304d69a7f46eefea3fff312021-11-26T07:20:09ZConjugate numerical simulation of wall temperature fluctuation at a T-junction pipe2187-974510.1299/mej.18-00044https://doaj.org/article/653097856e304d69a7f46eefea3fff312018-06-01T00:00:00Zhttps://www.jstage.jst.go.jp/article/mej/5/3/5_18-00044/_pdf/-char/enhttps://doaj.org/toc/2187-9745Thermal fatigue cracks may occur in a T-junction pipe due to the mixing of hot and cold fluids. To develop an evaluation method for thermal fatigue, the authors previously performed a mixing tee experiment called the T-Cubic experiment. In this study, a fluid-structure coupled simulation for conjugate heat transfer was carried out to investigate the predictive performance of the flow and temperature fields and temperature fluctuation on the pipe inner surface at a mixing tee of the T-Cubic experiment. The computational domain included 304 type stainless steel pipe as well as the working fluid of water. Time-averaged velocity and temperature were reproduced well over the entire computational domain. Although velocity fluctuation intensity at a distance from the wall was relatively smaller than experimental data, the simulation could reproduce the trend of the experimental data, especially the velocity fluctuation intensity peak near the wall. The temperature fluctuation intensity was also larger than the experimental data, though the tendency could be reproduced by the simulation. The temperature fluctuation intensity on the pipe inner surface is the most important parameter for thermal fatigue and though it was 20% to 36% larger than the experimental data at its peak, the tendency was reproduced to a certain extent. The fluid temperature in the numerical simulation fluctuated at almost the same level from 0.1 Hz to 10 Hz, but high frequency components attenuated and low frequency components around 0.1 Hz remained on the pipe inner surface.Yoichi UTANOHARAKoji MIYOSHIAkira NAKAMURAThe Japan Society of Mechanical Engineersarticlethermal fatiguet-junction pipeheat transfertemperature fluctuationnumerical simulationlarge eddy simulationMechanical engineering and machineryTJ1-1570ENMechanical Engineering Journal, Vol 5, Iss 3, Pp 18-00044-18-00044 (2018)
institution DOAJ
collection DOAJ
language EN
topic thermal fatigue
t-junction pipe
heat transfer
temperature fluctuation
numerical simulation
large eddy simulation
Mechanical engineering and machinery
TJ1-1570
spellingShingle thermal fatigue
t-junction pipe
heat transfer
temperature fluctuation
numerical simulation
large eddy simulation
Mechanical engineering and machinery
TJ1-1570
Yoichi UTANOHARA
Koji MIYOSHI
Akira NAKAMURA
Conjugate numerical simulation of wall temperature fluctuation at a T-junction pipe
description Thermal fatigue cracks may occur in a T-junction pipe due to the mixing of hot and cold fluids. To develop an evaluation method for thermal fatigue, the authors previously performed a mixing tee experiment called the T-Cubic experiment. In this study, a fluid-structure coupled simulation for conjugate heat transfer was carried out to investigate the predictive performance of the flow and temperature fields and temperature fluctuation on the pipe inner surface at a mixing tee of the T-Cubic experiment. The computational domain included 304 type stainless steel pipe as well as the working fluid of water. Time-averaged velocity and temperature were reproduced well over the entire computational domain. Although velocity fluctuation intensity at a distance from the wall was relatively smaller than experimental data, the simulation could reproduce the trend of the experimental data, especially the velocity fluctuation intensity peak near the wall. The temperature fluctuation intensity was also larger than the experimental data, though the tendency could be reproduced by the simulation. The temperature fluctuation intensity on the pipe inner surface is the most important parameter for thermal fatigue and though it was 20% to 36% larger than the experimental data at its peak, the tendency was reproduced to a certain extent. The fluid temperature in the numerical simulation fluctuated at almost the same level from 0.1 Hz to 10 Hz, but high frequency components attenuated and low frequency components around 0.1 Hz remained on the pipe inner surface.
format article
author Yoichi UTANOHARA
Koji MIYOSHI
Akira NAKAMURA
author_facet Yoichi UTANOHARA
Koji MIYOSHI
Akira NAKAMURA
author_sort Yoichi UTANOHARA
title Conjugate numerical simulation of wall temperature fluctuation at a T-junction pipe
title_short Conjugate numerical simulation of wall temperature fluctuation at a T-junction pipe
title_full Conjugate numerical simulation of wall temperature fluctuation at a T-junction pipe
title_fullStr Conjugate numerical simulation of wall temperature fluctuation at a T-junction pipe
title_full_unstemmed Conjugate numerical simulation of wall temperature fluctuation at a T-junction pipe
title_sort conjugate numerical simulation of wall temperature fluctuation at a t-junction pipe
publisher The Japan Society of Mechanical Engineers
publishDate 2018
url https://doaj.org/article/653097856e304d69a7f46eefea3fff31
work_keys_str_mv AT yoichiutanohara conjugatenumericalsimulationofwalltemperaturefluctuationatatjunctionpipe
AT kojimiyoshi conjugatenumericalsimulationofwalltemperaturefluctuationatatjunctionpipe
AT akiranakamura conjugatenumericalsimulationofwalltemperaturefluctuationatatjunctionpipe
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