Turbulent natural convection in enclosure is a paradigmatic case for wide class of processes of great interest for industrial and environmental problems. The solid-fluid thermal interaction, the anisotropy of the turbulence intensity in the flow field along with the transient nature of heat transfer processes, pose challenges regarding the numerical modeling. The case of a square cavity with differently heated vertical walls and two horizontal conductive plates is studied at Ra = 1.58 × 109. The study is carried out numerically, using large-eddy simulation together with a dynamic Lagrangian turbulence model and a conjugate heat transfer method to take into account heat transfer at the solid surfaces. First, validation is carried out against the literature experimental and numerical data. The results of validation tests evidence the limitations of using the adiabatic conditions as a model for reproducing an insulator. In fact, the adiabatic condition represents the asymptotic behavior which is often difficult to reach in real conditions. Successively, the model is used to investigate the effect on the flow field of different materials composing the horizontal walls. Initial conditions representative of physical experiment are used. In order to reduce the computational time required for a simulation with insulating materials at the walls, a four-step temperature advancement strategy is proposed, based on the artificial reduction-first and recover-later of the specific heat coefficient Cp of the materials at different stages of the simulation. The conductivity of the solid media is found to influence the flow configuration since heat transfer at the solid walls substantially modifies the turbulent field and makes the flow field less homogeneous along the horizontal direction.

1.

Among the others, we can refer to Marín28 for a brief derivation of this formula.

2.

Fancy name compound of ancient Greek words υέoς (neos) “new,” and ύλη (yle) “material, substance.”

3.
S.
Mergui
and
F.
Penot
, “
Convection naturelle en cavité carrée différentiellement chauffée: Investigation expérimentale à Ra = 1.69 × 109
,”
Int. J. Heat Mass Transfer
39
,
563
(
1996
).
4.
J.
Salat
,
S.
Xin
,
P.
Joubert
,
A.
Sergent
,
F.
Penot
, and
P.
Le Qur
, “
Experimental and numerical investigation of turbulent natural convection in a large air-filled cavity
,”
Int. J. Heat Fluid Flow
25
,
824
(
2004
).
5.
Y. S.
Tian
and
T. G.
Karayiannis
, “
Low turbulence natural convection in an air filled square cavity. Part I: The thermal and fluid flow fields
,”
Int. J. Heat Mass Transfer
43
,
849
(
2000
).
6.
Y. S.
Tian
and
T. G.
Karayiannis
, “
Low turbulence natural convection in an air filled square cavity. Part II: The turbulence quantities
,”
Int. J. Heat Mass Transfer
43
,
867
(
2000
).
7.
F.
Ampofo
and
T. G.
Karayiannis
, “
Experimental benchmark data for turbulent natural convection in air filled square cavity
,”
Int. J. Heat Mass Transfer
46
,
3551
(
2003
).
8.
M.
Omri
and
N.
Galanis
, “
Numerical analysis of turbulent buoyant flows in enclosures: Influence of grid and boundary conditions
,”
Int. J. Therm. Sci.
46
,
727
(
2007
).
9.
K. J.
Hsieh
and
F. S.
Lien
, “
Numerical modeling of buoyancy-driven turbulent flows in enclosures
,”
Int. J. Heat Fluid Flow
25
,
659
(
2004
).
10.
A.
Ibrahim
,
D.
Saury
, and
D.
Lemonnier
, “
Coupling of turbulent natural convection with radiation in an air-filled differentially-heated cavity at Ra = 1.5 × 109
,”
Comput. Fluids
88
,
115
(
2013
).
11.
S. H.
Peng
and
L.
Davidson
, “
Large eddy simulation for turbulent buoyant flow in a confined cavity
,”
Int. J. Heat Fluid Flow
22
,
323
(
2001
).
12.
C.
Bosshard
,
A.
Dehbi
,
M.
Deville
,
E.
Leriche
,
R.
Puragliesi
, and
A.
Soldati
, “
Large eddy simulation of the differentially heated cubic cavity flow by the spectral element method
,”
Comput. Fluids
86
,
210
(
2013
).
13.
C.
Zimmermann
and
R.
Groll
, “
Modelling turbulent heat transfer in a natural convection flow
,”
J. Appl. Math. Phys.
2
,
662
(
2014
).
14.
A.
Dorfman
and
Z.
Renner
, “
Conjugate problems in convective heat transfer: Review
,”
Math. Probl. Eng.
2009
,
1
.
15.
F.
Duchaine
,
A.
Corpron
,
L.
Pons
,
V.
Moureau
,
F.
Nicoud
, and
T.
Poinsot
, “
Development and assessment of a coupled strategy for conjugate heat transfer with Large Eddy Simulation: Application to a cooled turbine blade
,”
Int. J. Heat Fluid Flow
30
,
1129
(
2009
).
16.
F.
Duchaine
,
S.
Mendez
,
F.
Nicoud
,
A.
Corpron
,
V.
Moureau
, and
T.
Poinsot
, “
Conjugate heat transfer with Large Eddy Simulation for gas turbine components
,”
C. R. Mec.
337
,
550
(
2009
).
17.
I.
Tiselj
,
R.
Bergant
,
B.
Mavko
,
I.
Bajsić
, and
G.
Hetsroni
, “
DNS of turbulent heat transfer in channel flow with heat conduction in the solid wall
,”
J. Heat Transfer
123
,
849
(
2001
).
18.
A.
Garai
,
J.
Kleissl
, and
S.
Sarkar
, “
Flow and heat transfer in convectively unstable turbulent channel flow with solid-wall heat conduction
,”
J. Fluid Mech.
757
,
57
(
2014
).
19.
A.
Quarteroni
and
A.
Valli
,
Domain Decomposition Methods for Partial Differential Equations
(
Oxford University Press
,
1999
).
20.
P.
Sosnowski
,
A.
Petronio
, and
V.
Armenio
, “
Numerical model for thin liquid film with evaporation and condensation on solid surfaces in a systems with conjugated heat transfer
,”
Int. J. Heat Mass Transfer
66
,
382
(
2013
).
21.
J.
Smagorinsky
, “
General circulation experiments with the primitive equations: I. The basic experiment
,”
Mon. Weather Rev.
91
,
99
(
1963
).
22.
M.
Germano
,
U.
Piomelli
,
P.
Moin
, and
W.
Cabot
, “
A dynamic subgrid-scale eddy viscosity model
,”
Phys. Fluids A
3
,
1760
1765
(
1991
).
23.
D.
Lilly
, “
A proposed modification of Germano subgrid-scale closure method
,”
Phys. Fluids A
4
,
633
635
(
1992
).
24.
C.
Meneveau
,
T. S.
Lund
, and
W. H.
Cabot
, “
A Lagrangian dynamic subgrid-scale model of turbulence
,”
J. Fluid Mech.
319
,
353
385
(
1996
).
25.
V.
Armenio
and
S.
Sarkar
, “
An investigation of stably stratified turbulent channel flow using large-eddy simulation
,”
J. Fluid Mech.
459
,
1
42
(
2002
).
26.
R. I.
Issa
, “
Solution of the implicitly discretized fluid flow equations by operator-splitting
,”
J. Comput. Phys.
62
,
40
65
(
1985
).
27.
R. I.
Issa
,
A. D.
Gosman
, and
A. P.
Watkins
, “
The computation of compressible and incompressible recirculating flows by a non-iterative implicit scheme
,”
J. Comput. Phys.
62
,
66
82
(
1986
).
28.
E.
Marín
, “
Characteristic dimension for heat transfer
,”
Lat. Am. J. Phys. Educ.
4
(
1
),
56
60
(
2010
).
29.
P.
Moin
and
K.
Mahesh
, “
Direct numerical simulation: A tool in turbulence research
,”
Annu. Rev. Fluid Mech.
30
,
539
578
(
1998
).
30.
American Society of Heating and Refrigerating and Air-Conditioning Engineers
,
ASHRAE Handbook Fundamentals
, SI ed. (
Ashrae
,
Atlanta
,
2005
).
31.
S. B.
Pope
,
Turbulent Flows
(
Cambridge University Press
,
2000
).
32.
P. R.
Spalart
,
W.-H.
Jou
,
M.
Strelets
, and
S. R.
Allmaras
, “
Comments on the feasibility of LES for wings, and on a hybrid RANS/LES approach
,” in
First AFOSR International Conference on DNS/LES, Ruston, LA, 4–8 August
,
Advances in DNS/LES
edited by
C.
Liu
and
Z.
Liu
(
Greyden Press
,
Columbus, OH
,
1997
).
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