2010
DOI: 10.1016/j.nucengdes.2010.02.022
|View full text |Cite
|
Sign up to set email alerts
|

Computational study of conjugate heat transfer in T-junctions

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
10
0

Year Published

2012
2012
2022
2022

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 53 publications
(10 citation statements)
references
References 6 publications
0
10
0
Order By: Relevance
“…While being neglected here, subgrid-scale TRI effects are strictly not negligible and modeling studies have recently emerged [13,14]. Finally, accurate unsteady simulations such as LES to predict unsteady wall heat loads is very promising to determine thermal fatigue in combustors as recently developed in the nuclear engineering community [15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…While being neglected here, subgrid-scale TRI effects are strictly not negligible and modeling studies have recently emerged [13,14]. Finally, accurate unsteady simulations such as LES to predict unsteady wall heat loads is very promising to determine thermal fatigue in combustors as recently developed in the nuclear engineering community [15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…By means of novel sensors in experimental facilities, the fluid and structure temperatures are captured simultaneously (Fontes et al, 2009;Kimura et al, 2009) and transfer functions are derived in the frequency domain. Computer simulation tools are also available which allow obtaining structural temperature fields by computing the fluid thermo-hydraulics, the fluid-wall heat convection and wall heat conduction simultaneously (Kloeren and Laurien, 2011;Kuhn et al, 2010). These tools employ LES with conjugate heat transfer (CHT) and give very promising results.…”
Section: Introductionmentioning
confidence: 99%
“…The comparison with experimental results highlights the good behavior of large eddy simulations, in terms of averaged fields, amplitude and frequency of fluctuations. Kuhn et al (2010) focused on the numerical prediction of temperature fluctuations induced in solid materials through turbulent mixing processes. As test case they used the mixing of two streams of different temperature in a T-junction.…”
Section: Introductionmentioning
confidence: 99%