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...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
The Japan Society of Mechanical Engineers
2018
|
Materias: | |
Acceso en línea: | https://doaj.org/article/653097856e304d69a7f46eefea3fff31 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:653097856e304d69a7f46eefea3fff31 |
---|---|
record_format |
dspace |
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 |
_version_ |
1718409660643409920 |