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Trans. Phenom. Nano Micro Scales, 1(1): 26-36, Winter - Spring 2013
DOI: 10.7508/tpnms.2013.01.003
ORIGINAL RESEARCH PAPER .
Numerical Study of Mixed Convection of Nanofluid in a Concentric
Annulus with Rotating Inner Cylinder
G. A. Sheikhzadeh 1
, H. Teimouri 1,*
, M. Mahmoodi 1, 2
1
Department of Mechanical Engineering, University of Kashan, Kashan, Iran
2
Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran
Abstract
In this work, the steady and laminar mixed convection of nanofluid in horizontal concentric annulus with
rotating inner cylinder is investigated numerically. The inner and outer cylinders are kept at constant
temperature Ti and To respectively, where Ti>To. The annular space is filled with Alumina-water nanofluid.
The governing equations with the corresponded boundary conditions in the polar coordinate are discretized
using the finite volume method where pressure-velocity coupling is done by the SIMPLER algorithm.
Numerical results have been obtained for Rayleigh number ranging from 102
to 105
, Reynolds number from 1
to 300 and nanoparticles volume fraction from 0.01 to 0.06. The effects of the Reynolds and Rayleigh numbers,
average diameter of nanoparticles and the volume fraction of the nanoparticles on the fluid flow and heat
transfer inside the annuli are investigated. According to the results, the average Nusselt number decreases with
increasing the Reynolds number. However, the average Nusselt number increases by increasing the Rayleigh
number. Moreover, the maximum average Nusselt number occurs for an optimal nanoparticle volume fraction
except situations that heat conduction predominates over the heat convection. In these conditions the average
Nusselt number is close to unity.
Keywords: Concentric Annulus;Mixed Convection; Nanofluid; Finite Volume Method; Rotating Inner Cylinder
1. Introduction
The problem of mixed convection in annulus
between two rotating cylinders is noteworthy because
of its wide applications. Some applications are
methods for improvement of crystal formation in
technological applications [1,2] food processing [3,
4], and journal bearing. The increase of generation of
heat in industrial devices with decrease of their size
increases need for higher heat transfer rate in
minimum space. In spite of all of the advances in
enhancement of heat transfer, the low thermal
__________
*
Corresponding author
Email Address: hamidtmr@gmail.com
conductivity of the traditional coolants is a great
limitation in this way. One of the methods for
increase the heat transfer is use of nanoparticles in
the base fluid. The existence of the nanoparticles
increases the viscosity which is an undesirable effect
and reduces the rate of heat transfer. Based on these
effects of nanoparticles, they can reduces or increases
the rate of heat transfer based on the geometry and
boundary conditions of the problem, type, size,
shape, and volume fraction of the nanoparticles.
Therefore when the nanofluid is used its effect on
heat transfer must be investigated firstly.
In continue some of works done on mixed
convection in annuluses with rotating inner cylinder
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
27
Nomenclature
p PressureሺN mିଶ
ሻ ߠ Angle
P Dimensionless pressure ߆ Dimensionless temperature
Pr Prandtl number ߤ Dynamic viscosity ሺܰ ‫ݏ‬ ݉ିଶ
ሻ
r Radial coordinateሺmሻ ߥ Kinematic viscosity (݉ଶ
sିଵ
ሻ
R Dimensionless radial distance ߩ Density ሺ݇݃ ݉ିଷ
ሻ
RR Radius ratio ߮௣ Nanoparticle volume fraction
ܴ′ Dimensionless position
୰ି୰౟
୰౥ି୰౟
߰ Stream function ሺ݉ଶ
sିଵ
ሻ
Ra Rayleigh number ߖ Dimensionless stream function
Re Reynolds number ߱ Angular velocityሺrad sିଵ
ሻ
T Temperature (Kሻ
u, v Velocity componentsሺm sିଵ
ሻ Subscripts
U, V Dimensionless velocity components eff. Effective
݂଴ Fluid
Greek symbols i Inner
α Thermal diffusivity ሺmଶ
sିଵ
ሻ ݂݊ Nanofluid
β Thermal expansion coefficient ሺKିଵ
ሻ o Outer
are reviewed. These works have been done for
rotating Reynolds number lower than 2000 which the
flow becomes two dimensional and laminar. As early
as 1992, Lee [5] studied numerically laminar natural
convection of air in eccentric annulus with rotating
inner cylinders. He observed that in a constant
Rayleigh number the average Nusselt number
decreases with increase in rotation velocity of inner
cylinder. Natural convection of nanofluids in a
concentric annulus was firstly studied numerically by
Abu-Nada et al. [6]. They used Brinkman [7] and
Hamilton-Crosser [8] models for viscosity and
thermal conductivity of the nanofluid, respectively.
They observed enhanced heat transfer using nanofluid
at low Rayleigh numbers. Abu-Nada [9,10]
investigated effects of different viscosity and thermal
conductivity models for nanofluid on natural
convection in concentric annuluses. Izadi et al. [11]
conducted a numerical study on developing laminar
forced convection of Al2O3-water nanofluid in an
annulus. They used Masoumi et al. [12] and Chon et
al. [13] correlations for prediction of viscosity and
thermal conductivity of the nanofluid, respectively.
Their results showed that, in general, convective
heat transfer coefficient increases with nanoparticle
concentration.
Base on the knowledge of the authors effect of
nanoparticles on flow pattern and mixed convection in
annulus between two concentric cylinders with
rotating inner cylinder has not been investigated in
literature. In the present work this problem is
investigated.
2. Problem definition
Figure 1 shows the geometry of present problem.
Inner cylinder with radius of ri and the outer cylinder
with radius of ro are kept at temperatures of Ti and To,
respectively. The inner warmer cylinder rotates with
the angular velocity of ω in counterclockwise
direction. The annulus has infinite length. The annulus
is filled with Al2O3-water nanofluid. According to ref.
[14] for the Reynolds number lower than 2000 that the
Taylor vortices are not formed the flow is two
dimensional. In the present problem the natural
convection is due to the temperature difference and
gravity, while the forced convection is due to the
rotation of inner cylinder. In the present work the
effects of nanoparticles with different average
diameters and volume fraction on the flow pattern and
heat transfer are investigated. Also the effects of
boundary conditions such as angular velocity of inner
cylinder (Reynolds number) and temperature
difference of two cylinders (Rayleigh number) are
considered.
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
28
Fig. 1. Geometry of the problem and the boundary
conditions
3. Mathematical modeling
The thermophysical properties of the nanofluid are
considered to be constant with the exception of
density in the buoyancy term in the momentum
equation which varies according to the Boussinesq
approximation. The nanoparticles are assumed to be
uniform in shape and size. Moreover, the base fluid
and the nanoparticles are assumed to be in thermal
equilibrium. There is not any slip between the water
and the nanoparticles. With the assumption of
Newtonian fluid, steady state and incompressible
flow, the governing equations in polar system
coordinates are as follows:
Continuity:
(1)
߲‫ݒ‬
߲‫ݎ‬
൅
‫ݒ‬
‫ݎ‬
൅
1
‫ݎ‬
߲‫ݑ‬
߲ߠ
ൌ 0
Momentum equation in r direction:
(2)
ߩ௡௙ ቆ‫ݒ‬
߲‫ݒ‬
߲‫ݎ‬
൅
‫ݑ‬
‫ݎ‬
߲‫ݒ‬
߲ߠ
െ
‫ݑ‬ଶ
‫ݎ‬
ቇ ൌ െ
߲‫݌‬
߲‫ݎ‬
൅ ߤ௡௙ ቆ
߲ଶ
‫ݒ‬
߲‫ݎ‬ଶ
൅
1
‫ݎ‬
߲‫ݒ‬
߲‫ݎ‬
െ
‫ݒ‬
‫ݎ‬ଶ
൅
1
‫ݎ‬ଶ
߲ଶ
‫ݒ‬
߲ߠଶ
െ
2
‫ݎ‬ଶ
߲‫ݑ‬
߲ߠ
൰ ൅ ݂௥
Momentum equation in θ direction:
(3)
ߩ௡௙ ൬‫ݒ‬
߲‫ݑ‬
߲‫ݎ‬
൅
‫ݑ‬
‫ݎ‬
߲‫ݑ‬
߲ߠ
൅
‫ݒݑ‬
‫ݎ‬
൰
ൌ െ
1
‫ݎ‬
߲‫݌‬
߲ߠ
൅ ߤ௡௙ ቆ
߲ଶ
‫ݑ‬
߲‫ݎ‬ଶ
൅
1
‫ݎ‬
߲‫ݑ‬
߲‫ݎ‬
െ
‫ݑ‬
‫ݎ‬ଶ
൅
1
‫ݎ‬ଶ
߲ଶ
‫ݑ‬
߲ߠଶ
൅
2
‫ݎ‬ଶ
߲‫ݒ‬
߲ߠ
൰ ൅ ݂ఏ
Energy equation:
(4)‫ݒ‬
߲ܶ
߲‫ݎ‬
൅
‫ݑ‬
‫ݎ‬
߲ܶ
߲ߠ
ൌ ߙ௡௙ሺ
߲ଶ
ܶ
߲‫ݎ‬ଶ
൅
1
‫ݎ‬
߲ܶ
߲‫ݎ‬
൅
1
‫ݎ‬ଶ
߲ଶ
ܶ
߲ߠଶ
ሻ
Where u and v are velocity components in radial
and tangential direction, g is gravitational
acceleration, µ, ρ, β, and α are viscosity, density,
thermal expansion coefficient and thermal diffusivity
coefficient, respectively. fr and fθ are components of
volumetric forces in radial and tangential directions as
follows:
(5)
݂௥ ൌ ሺߩߚሻ௡௙݃ሺܶ െ ܶ௢ሻ ܿ‫ݏ݋‬ ߠ
݂ఏ ൌ െሺߩߚሻ௡௙݃ሺܶ െ ܶ௢ሻ ‫݊݅ݏ‬ ߠ
The boundary conditions are:
(6)
‫ݒ‬ ൌ 0, ‫ݑ‬ ൌ ‫ݎ‬௜߱, ܶ ൌ ܶ௜ ܽ‫ݐ‬ ‫ݎ‬ ൌ ‫ݎ‬௜
‫ݒ‬ ൌ 0, ‫ݑ‬ ൌ 0, ܶ ൌ ܶ௢ ܽ‫ݐ‬ ‫ݎ‬ ൌ ‫ݎ‬௢
The following dimensionless parameters are
considered in the problem [15, 16]:
(7)
ܸ ൌ
‫ݒ‬
‫ݎ‬௜߱
߆ ൌ
ܶ െ ܶ௢
ܶ௜ െ ܶ௢
ܴ ൌ
‫ݎ‬
݈
ܲ ൌ
‫݌‬
ߩ‫ݎ‬௜
ଶ߱ଶ
ܷ ൌ
‫ݑ‬
‫ݎ‬௜߱
(8)‫ܧ‬ ൌ
݁
݈
ߖ ൌ
߰
‫ݎ‬௜݈߱
where l is radius differences of inner and outer
cylinders and is equal to (ro – ri). With the above
parameters the governing equations are converted in
non-dimensional form:
Continuity:
(9)
߲ܸ
߲ܴ
൅
ܸ
ܴ
൅
1
ܴ
߲ܷ
߲ߠ
ൌ 0
ω
Ti
X
r0
r
ri
θ
g
To
Y
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
29
Momentum equation in r direction:
(10)
ܸ
߲ܸ
߲ܴ
൅
ܷ
ܴ
߲ܸ
߲ߠ
െ
ܷଶ
ܴ
ൌ െ
ߩ௙
ߩ௡௙
߲ܲ
߲ܴ
൅
ߥ௡௙
ߥ௙
1
ܴ݁
ቆ
߲ଶ
ܸ
߲ܴଶ
൅
1
ܴ
߲ܸ
߲ܴ
െ
ܸ
ܴଶ
൅
1
ܴଶ
߲ଶ
ܸ
߲ߠଶ
െ
2
ܴଶ
߲ܷ
߲ߠ
൰
൅
ߚ௡௙
ߚ௙
ܴܽ
ܲ‫ܴ݁ݎ‬ଶ
߆ ܿ‫ݏ݋‬ ߠ
Momentum equation in θ direction:
(11)
ܸ
߲ܷ
߲ܴ
൅
ܷ
ܴ
߲ܷ
߲ߠ
൅
ܷܸ
ܴ
ൌ െ
ߩ௙
ߩ௡௙
1
ܴ
߲ܲ
߲ߠ
൅
ߥ௡௙
ߥ௙
1
ܴ݁
ቆ
߲ଶ
ܷ
߲ܴଶ
൅
1
ܴ
߲ܷ
߲ܴ
െ
ܷ
ܴଶ
൅
1
ܴଶ
߲ଶ
ܷ
߲ߠଶ
൅
2
ܴଶ
߲ܸ
߲ߠ
൰
െ
ߚ௡௙
ߚ௙
ܴܽ
ܲ‫ܴ݁ݎ‬ଶ
߆ ‫݊݅ݏ‬ ߠ
Energy equation:
(12)
ܸ
߲߆
߲ܴ
൅
ܷ
ܴ
߲߆
߲ߠ
ൌ
ߙ௡௙
ߙ௙
1
ܴ݁ܲ‫ݎ‬
ቆ
߲ଶ
߆
߲ܴଶ
൅
1
ܴ
߲߆
߲ܴ
൅
1
ܴଶ
߲ଶ
߆
߲ߠଶ
൰
where Ra, Pr, and Re are Rayleigh, Prandtl, and
Reynolds number and are defined as follows:
(13)
ܴܽ ൌ
݃ߚ௙ሺܶ௜ െ ܶ௢ሻ݈ଷ
ߙ௙ߥ௙
,
ܲ‫ݎ‬ ൌ
ߥ௙
ߙ௙
, ܴ݁ ൌ
‫ݎ‬௜݈߱
ߥ௙
Also the boundary conditions in dimensionless
form are:
(14)
ܸ ൌ 0, ܷ ൌ 1, ߆ ൌ 1 ܽ‫ݐ‬ ܴ ൌ ܴ௜
ܸ ൌ 0, ܷ ൌ 0, ߆ ൌ 0 ܽ‫ݐ‬ ܴ ൌ ܴ௢
The density, heat capacity, and thermal expansion
coefficient of the nanofluid are:
(15)ߩ௘௙௙ ൌ ൫1 െ ߮௣൯ߩ௙ ൅ ߮௣ߩ௣
(16)ܿ௘௙௙ ൌ
൫1 െ ߮௣൯ߩ௙ܿ௙ ൅ ߮௣ߩ௣ܿ௣
ߩ௘௙௙
(17)ߚ௘௙௙ ൌ
൫1 െ ߮௣൯ሺߩߚሻ௙ ൅ ߮௣ሺߩߚሻ௣
ߩ௘௙௙
Viscosity and thermal conductivity of nanofluid is
calculated with the assumption of thermal equilibrium
between base fluid and nanoparticles and uniform
shape of the nanoparticles. The viscosity of Al2O3-
water nanofluid with average diameters of 13, 28, and
36 mm is calculated by [17-19]:
(18)
ߤ௘௙௙ ൌ ൫1 ൅ 39.11߮௣ ൅ 533.9߮௣
ଶ
൯ߤ௙
݀௣ ൌ 13 ݊݉.
(19)
ߤ௘௙௙ ൌ ൫1 ൅ 7.3߮௣ ൅ 123߮௣
ଶ
൯ߤ௙
݀௣ ൌ 28 ݊݉.
(20)
ߤ௘௙௙ ൌ ൫1 ൅ 0.025߮௣ ൅ 0.015߮௣
ଶ
൯ߤ௙
݀௣ ൌ 36 ݊݉.
In (20) ߮௣ is in percentage. Thermal conductivity
of Al2O3-water nanofluid is calculated according to
the model proposed by Khanafer and Vafai [20]:
(21)
ቆ
݇௘௙௙
݇௙
ቇ
஺௟మைయ
ൌ 0.9843 ൅
0.398߮௣
଴.଻ଷ଼ଷ
ቆ
1
݀௣ሺ݊݉ሻ
ቇ
଴.ଶଶସ଺
ቆ
ߤ௘௙௙ሺܶሻ
ߤ௙ሺܶሻ
ቇ
଴.଴ଶଷହ
െ3.9517
߮௣
ܶ
൅ 34.034
߮௣
ଶ
ܶଷ
൅ 32.509
߮௣
ܶଶ
0 ൑ ߮௣ ൑ 10%;
11݊݉ ൑ ݀ ൑ 150݊݉;
20°‫ܥ‬ ൑ ܶ ൑ 70°‫ܥ‬
Where ߮௣ is in percentage, T is in Celsius, and dp
is in nm. The viscosity of water in different
temperatures is obtained by:
(22)ߤ௙ሺܶሻ ൌ 2.414 ൈ 10ିହ
ൈ 10
ଶସ଻.଼
ሺ்ିଵସ଴ሻൗ
Where T is in Kelvin. The thermophysical
properties of water and Al2O3 at 293 K are presented
in Table 1.
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
30
Table 1
Thermophysical properties of water and Al2O3
Pr
T
(K)
ρ
(kg/m3
)
cp
(J/kg
K)
k
(W/m
K)
β×105
(1/K)
7.07293998.241820.5921
Water
[21]
–29339707650.8525
Al2O3
[9]
The local Nusselt numbers on the inner and outer
cylinders are calculated by the following equations
[15, 22, 23]:
(23)
ܰ‫ݑ‬௜ ൌ െ‫ݎ‬௜݈݊ ൬
‫ݎ‬௢
‫ݎ‬௜
൰
݇௡௙
݇௙
1
ܶ௜ െ ܶ௢
߲ܶ
߲‫ݎ‬
ቤ
௥ୀ௥೔
(24)
ܰ‫ݑ‬௢ ൌ െ‫ݎ‬௢݈݊ ൬
‫ݎ‬௢
‫ݎ‬௜
൰
݇௡௙
݇௙
1
ܶ௜ െ ܶ௢
߲ܶ
߲‫ݎ‬
ቤ
௥ୀ௥೚
The average Nusselt number on the inner cylinder
is calculated by:
(25)ܰ‫ݑ‬തതതത௜ ൌ
1
2ߨ
න ܰ‫ݑ‬௜ሺߠሻ݀ߠ
ଶగ
଴
Also the Nusselt number based on the
dimensionless parameters is:
(26)ܰ‫ݑ‬௜ ൌ െܴ௜݈݊ ൬
ܴ௢
ܴ௜
൰
݇௡௙
݇௙
߲߆
߲ܴ
ቤ
ோୀோ೔
The streamfunction in polar coordinates is as
follows:
(27)‫ݒ‬ ൌ
1
‫ݎ‬
߲߰
߲ߠ
, ‫ݑ‬ ൌ െ
߲߰
߲‫ݎ‬
4. Numerical implementation
The governing equations with the respective
boundary conditions are discretized using the finite
volume method. As shown in Fig. 2 a non-uniform
grid is generated, then the governing equations are
discretized on the grid points. The diffusion terms are
discretized using a central difference scheme, while a
hybrid scheme, which is a combination of central
difference and upwind schemes, is used to discretize
the convective terms. The velocity and pressure fields
are coupled according to the SIMPLER algorithm
based on a staggered grid. The set of algebraic
equations are solved iteratively using TDMA method.
Fig. 2. Non-uniform grid for the computational domain
Different grid sizes are examined to ensure grid
independence results. The tested grids and the
obtained average Nusselt numbers are shown in Table
2. The results are obtained for air with Pr = 0.7, Re =
257 and Ra = 105
. The outer cylinder to inner cylinder
diameter ratio is 2.6. Figure 3 shows variation of
tangential velocity at θ = 90 for different grid sizes.
According to the Fig. 3 and Table 2, an 81×41 grid is
sufficiently fine. It should be noted that 81 points are
in tangential direction while 41 grid points are in
radial direction.
Table 2
average Nusselt number for different grid sizes
41×2161×3181×41101×51
3.4873.5053.5143.518ܰ‫ݑ‬തതതത
Fig. 3. variation of tangential velocity at θ = 90 for different
grid sizes
R'
U
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
-1.4
-1.2
-1
-0.8
-0.6
-0.4
-0.2
0
0.2
0.4
0.6
0.8
1
41-21
61-31
81-41
101-51
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
31
For validation of the results, the obtained results in
the present study are compared with results of other
researchers. At the first step natural convection of air
in a cylindrical annulus with constant temperature
walls at Ra = 5×104
and diameter ratio of 2.6 is
considered. The obtained results are compared with
those of Kuehn and Goldstein [22] in Figs. 4 and 5.
Fig. 4. Comparison of the local Nusselt number for two
concentric cylinders obtained in the present study with
those of Kuehn and Goldstein [22]
Fig. 5. Comparison of the tangential velocity for two
concentric cylinders obtained in the present study with
those of Kuehn and Goldstein [22]
Another test case is mixed convection in
concentric annulus with rotating inner cylinder. The
results are compared with those of Char and Hsu [16]
and Lee [5] in Figs. 6 and 7. In Fig. 6 the Pr, Ra, and
Re are 0.7, 105
and 119, respectively. In Fig. 7 the Pr
and Ra are 0.7 and 105
respectively. As can be seen in
the figures a good agreement exists between the
results. The minor difference is due to difference in
used numerical techniques and accuracy of
discretization.
Fig. 6. Comparison of the local Nusselt number for two
concentric cylinders with rotating inner cylinder obtained in
the present study with those of Char and Hsu [16]
Fig. 7. Comparison of the average Nusselt number for two
concentric cylinders with rotating inner cylinder obtained in
the present study with those of Lee [5]
5. Results and discussions
5.1. Effect of Reynolds number on flow pattern and
temperature distribution
In this section effect of Reynolds number on fluid
flow and heat transfer of Al2O3-water nanofluid in the
annulus is considered. The diameter ratio of annulus is
2.6, the Rayleigh number is 104
, the average
temperature of the walls is 293 K and the volume
fraction of the nanoparticles is varying from 0 to 0.06.
The results are obtained for Re = 1, 25, 100, and 300.
Therefore the Richardson number which evaluate the
θ(deg)
Nu
0 20 40 60 80 100 120 140 160 180
0
1
2
3
4
5
6
7
8
9
10
11
Inner cylinder: present work
Outer cylinder: present work
Inner cylinder: experimental results of [22]
Outer cylinder: experimental results of [22]
R'
U
0 0.2 0.4 0.6 0.8 1
-100
-80
-60
-40
-20
0
20
40
60
80
100
0o
present work
90
o
present work
0
o
numerical results of [22]
90
o
numerical results of [22] θ=90o
θ=0ο
θ
Nu
-180 -150 -120 -90 -60 -30 0 30 60 90 120 150 180
0
2
4
6
8
10
12
14
Inner cylinder: present work
Outer cylinder: present work
Inner cylinder; numerical results of [16]
Outer cylinder; numerical results of [16]
Re
0 50 100 150 200 250 300
3
3.1
3.2
3.3
3.4
3.5
3.6
3.7
3.8
3.9
4
E=0; present work
E=(0.667,π); present work
E=0; Numerical results of [5]
E=(0.667,π); Numerical results of [5]
ܰ‫ݑ‬തതത
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
32
strength of natural convection compared to the forced
convection is Ri = 1414.42, 2.26, 0.14, and 0.016.
IsothermsStreamlines
Re=1Re=25Re=100Re=300
Fig. 8. Streamlines and isotherms at Ra = 104 and different
Reynolds numbers for nanofluid with ߮௣ = 0.06 (solid line)
and pure fluid (dashed line)
Figure 8 shows the streamlines and isotherms for
nanofluid and base fluid. As can be seen from the
streamlines at Re = 1 the rotation of the inner cylinder
has a minor effect and two vortices are formed in side
of the inner cylinder. These vortices are
approximately symmetric. The fluid is heated at the
vicinity of the inner cylinder and moves upward. Then
blocked by the upper region of the outer cylinder and
is cooled when moves downward along it. At this
conditions the Richardson number is equal to 1414.14
and the natural convection is dominated the heat
transfer. Also it is observed from Table 3 that the
maximum value of stream function decreases with
increase in ߮௣.
Table 3
Minimum and maximum values of stream function for
different values of Reynolds number
߮ ൌ 0߮ ൌ 0.06
Re
߰௠௜௡߰௠௔௫߰௠௜௡߰௠௔௫
-1.6331.891-1.1151.4141
00.22600.26625
00.34300.340100
00.35900.328300
With increase in the Reynolds number the right
and left hand side vortices increases and decreases in
size, respectively. Also the isotherms are condensed at
the vicinity of the inner cylinder. The thermal plume
is shifted to the left in the direction of rotation of the
cylinder. With further increase in the Reynolds
number the weak vortex formed by natural convection
effect disappears. At Re = 100 and 300 the heat
transfer occurs mainly through conduction and the
average Nusselt number is close to unity and therefore
the Nusselt number increases by increase in ߮௣. In
contrast with Re = 100 that for ߮௣ = 0.06 the
streamfunction has a little increase compared to the
base fluid, at Re = 300 for ߮௣ = 0.06 stream function
decreases compared to the base fluid.
The local Nusselt numbers along the inner and
outer cylinders at different Reynolds numbers are
presented in Fig. 9 and Fig. 10, respectively. At Re =
1 the Nusselt number is approximately symmetric.
Minimum heat transfer on the inner cylinder occurs on
the location of separation of the plume, while its
maximum value is on the lower portion of the
cylinder. A reverse Nusselt number distribution is
observed along the outer cylinder. With increase in Re
minimum value of Nusselt number shifts the left side
and variation of the Nusselt number decreases. At Re
= 100 and 300 that heat transfer occurs mainly
through conduction the Nusselt number is close to
unity.
0.1
0.9
0.2
0.6
1
1.4
-1
-0.6
-0.2
0.1
0.9
0.2
0.16
0.22
0.12
0.26
0.1
0.9
0.26
0.34
0
0.1
0.9
0.32
0
0.24
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
33
Fig. 9. Nusselt number distribution along the inner cylinder
for different Reynolds numbers
Fig. 10. Nusselt number distribution along the outer
cylinder for different Reynolds numbers
Figure 11 shows variations of average Nusselt
number with volume fraction of the nanoparticles at
different Reynolds numbers. It is observed that by
increase in Reynolds number the Nusselt number
decreases and reaches to unity. This behaviour is
according to the results of ref.[16]. At Re = 1 and 25
with increase in ߮௣ from 0 to 0.01 the Nusselt number
increases while with further increase in ߮௣ it
decreases. At Re = 100 and 300 with increase in ߮௣
the Nusselt number show an increasing trend.
5.2. Effect of Rayleigh number on fluid flow and
heat transfer in the annulus
In this section effects of variation of Rayleigh
number on fluid flow and heat transfer in the
concentric annulus are investigated. The results are
obtained for diameter ratio of 2.6, Re = 25 and
average temperature of 293 K. the Rayleigh number is
varying from 102
to 105
.
Fig. 11. Average Nusselt number versus ߮௣ at
Ra = 104
and different values of Re
The streamlines and isotherms are shown in Fig.
12. As can be seen from the figure at Ra = 102
and 103
there is no vortices in the annulus. At these Rayleigh
number the heat transfer occurs through conduction
and therefore the increase in ߮௣ motivates the Nusselt
number to increases. At Ra = 104
a thermal plume is
formed. By increase in Rayleigh number the plume
moves to the upper region of the outer cylinder and
the strength of the vortices increases. At Ra = 105
the
isotherms are condensed which is characteristics of
temperature gradient and motivates the Nusselt
number to increase. At this Rayleigh number the
existence of the nanoparticles reduces the strength of
the vortices.
In Fig. 13 the average Nusselt numbers versus the
volume fraction of the nanoparticles are illustrated. At
Ra = 102
and 103
, which is conduction dominated
regime, the Nusselt number is close to unity. At these
Rayleigh numbers with increase in ߮௣ an increasing
trend in Nusselt number is observed. At Ra = 104
a
significant increase in Nusselt number in comparison
with lower Rayleigh numbers is observed. It is
because of formation of thermal plume at this
Rayleigh number. At Ra = 104
and 105
the Nusselt
number increases with increase in ߮௣ from 0 to 0.01.
Further increase in ߮௣ motivates the Nusselt number
to decrease.
θ
Nu
0 50 100 150 200 250 300 350
0
0.5
1
1.5
2
2.5
3
3.5
4
Re=1
Re=25
Re=100
Re=300
Inner cylinder
θ
Nu
0 50 100 150 200 250 300 350
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
5.5
6
Re=1
Re=25
Re=100
Re=300
Outer cylinder
ϕ
0 0.01 0.02 0.03 0.04 0.05 0.06
0.8
1
1.2
1.4
1.6
1.8
2
2.2
Re=1
Re=25
Re=100
Re=300
ܰ‫ݑ‬തതത
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
34
IsothermsStreamlinesRa=102
Ra=103
Ra=104
Ra=105
Fig. 12. Streamlines and isotherms at Re = 25 and
different Rayleigh numbers for nanofluid with ߮௣ = 0.06
(solid line) and pure fluid (dashed line)
5.3. Effect of average diameter of nanoparticles
on the average Nusselt number:
The average diameter of the nanoparticles due to
their effect on effective viscosity and thermal
conductivity of the nanofluid has a great effect on
average Nusselt number. Figure 14 depicted average
Nusselt number versus volume fraction of the
nanoparticles for different values of nanoparticles
diameter at Re = 25 and Ra = 104
.
As can be seen from the figure the average Nusselt
number increases with increase in nanoparticles
diameter. For dp = 13 nm the increase in ߮௣motivates
the Nusselt number to decreases. The nanofluid with
dp=36 nm has the highest effect on heat transfer
enhancement.
Fig. 13. Average Nusselt numbers versus volume
fraction of the nanoparticles at Re = 25 and different
Rayleigh numbers
Fig. 14. Average Nusselt number versus volume
fraction of the nanoparticles for different values of
nanoparticles diameter at Re = 25 and Ra = 104
6. Conclusion
Mixed convection of Al2O3-water nanofluid in a
concentric cylindrical annulus with rotating inner
cylinder was investigated numerically. Effects of
some pertinent parameters such as Reynolds number,
Rayleigh number, volume fraction of the
nanoparticles, and average diameter of the
nanoparticles on fluid flow and heat transfer were
considered. The main findings of the paper are stated
below:
0.9
0.1
0.32
0.28
0.04
0.9
0.1
0.32
0.24
0.04
0.1
0.9
0.2
0.16
0.22
0.12
0.26
0.9
0.7
0.1
-0.04
0
0.04
0.08
0.12
0.16
0.2
0.24
ϕ
0 0.01 0.02 0.03 0.04 0.05 0.06
1
1.5
2
2.5
3
3.5
Ra=102
Ra=103
Ra=104
Ra=105
ϕ
0 0.01 0.02 0.03 0.04 0.05 0.06
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2
dp=13 nm.
dp=28 nm.
dp=36 nm.
T=293 K
ܰ‫ݑ‬തതത
ܰ‫ݑ‬തതത
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
35
1- The increase in Reynolds number reduces the
Nusselt number. At high Reynolds numbers and low
Richardson numbers the heat transfer occurs mainly
through conduction and the Nusselt number closes to
unity.
2- At all Rayleigh numbers with increase in
Reynolds number the local Nusselt number decreases
and closes to unity.
3- At low Reynolds number and high Richardson
numbers, which is a convection dominated regime,
with increase in volume fraction of the nanoparticles
the Nusselt number firstly increases and then
decreases. Therefore an optimum value of ߮௣ exists in
which maximum heat transfer occurs. At high
Reynolds numbers and low Richardson numbers
(conduction dominated regime) with increase in
volume fraction of the nanoparticles the Nusselt
number increases.
References
[1] H.Q. Yang, K.T. Yang and J.R. Lloyd, Rotational
effects on natural convection in a horizontal
cylinder, AIChE Journal 34 (1988) 1627-1633.
[2] H.Q. Yang, Diffusion-controlled mass transfer from
a rotating cylinder, Numerical Heat Transfer A 23
(1993) 303-318.
[3] M. Prudhomme and L. Robillard, Natural convection
in an annular fluid layer rotating at weak angular
velocity. In: Proc. 4th Int. Symp. on Transport
Phenomena, Heat and Mass TransferSydney,
N.S.W., 1991, p. 38.
[4] F. Ladeinde, Studies on thermal convection in self-
gravitating and rotating horizontal cylinders in a
vertical external gravity field. 1988).
[5] T.S. Lee, Numerical computation of fluid convection
with air enclosed between the annuli of eccentric
heated horizontal rotating cylinders, Computers and
Fluids 21 (1992) 355-368.
[6] E. Abu-Nada, Z. Masoud and A. Hijazi, Natural
convection heat transfer enhancement in horizontal
concentric annuli using nanofluids, International
Communications in Heat and Mass Transfer 35
(2008) 657-665.
[7] H.C. Brinkman, The viscosity of concentrated
suspensions and solutions, Journal of Chemical
Physics 20 (1952).
[8] R.L. Hamilton and O.K. Crosser, Thermal
conductivity of heterogeneous two-component
system, I&EC Fundamentals 1 (1962) 187-191.
[9] E. Abu-Nada, Effects of variable viscosity and
thermal conductivity of Al2O3-water nanofluid on
heat transfer enhancement in natural convection,
International Journal of Heat and Fluid Flow 30
(2009) 679-690.
[10] M. Izadi, A. Behzadmehr and D. Jalali-Vahida,
Numerical study of developing laminar forced
convection of a nanofluid in an annulus,
International Journal of Thermal Sciences 48 (2009)
2119-2129.
[11] M. Izadi, A. Behzadmehr and D. Jalali-Vahida,
Numerical study of developing laminar forced
convection of a nanofluid in an annulus,
International Journal of Thermal Sciences 48 (2009)
2119-2129.
[12] N. Masoumi, N. Sohrabi and A. Behzadmehr, A new
model for calculating the effective viscosity of
nanofluids, Journal of Physics D: Applied Physics
42 (2009) 055501.
[13] C.H. Chon, K.D. Kihm, S.P. Lee and S.U.S. Choi,
Empirical correlation finding the role of temperature
and particle size for nanofluid (Al2O3) thermal
conductivity enhancement, Applied Physics Letters
87 (2005) 1-3.
[14] E.E. Feldman, R.W. Hornbeck and J.F. Osterle, A
numerical solution of developing temperature for
laminar developing flow in eccentric annular ducts,
International Journal of Heat and Mass Transfer 25
(1982) 243-253.
[15] N.H. Abu-Sitta, K. Khanafer, K. Vafai and A.M. Al-
Amiri, Combined forced- and natural-convection
heat transfer in horizontally counterrotating
eccentric and concentric cylinders, Numerical Heat
Transfer; Part A: Applications 51 (2007) 1167-1186.
[16] M.I. Char and Y.H. Hsu, Computation of buoyancy-
driven flow in an eccentric centrifugal annulus with
a non-orthogonal collocated finite volume algorithm,
International Journal for Numerical Methods in
Fluids 26 (1998) 323-343.
[17] J. Buongiorno, Convective transport in nanofluids,
Journal of Heat Transfer 128 (2006) 240-250.
[18] S. Maiga, S.J. Palm, C.T. Nguyen, G. Roy and N.
Galanis, Heat transfer enhancement by using
nanofluids in forced convection flows, International
Journal of Heat and Fluid Flow 26 (2005) 530-546.
[19] C.T. Nguyen, F. Desgranges, G. Roy, N. Galanis, T.
Mare, S. Boucher and H. Angue Mintsa,
Temperature and particle-size dependent viscosity
data for water-based nanofluids - Hysteresis
phenomenon, International Journal of Heat and Fluid
Flow 28 (2007) 1492-1506.
[20] K. Khanafer and K. Vafai, A critical synthesis of
thermophysical characteristics of nanofluids,
International Journal of Heat and Mass Transfer 54
(2011) 4410-4428.
[21] A. Bejan, Convection Heat Transfer, John Wiley &
Sons, 2003.
G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36
36
[22] T.H. Kuehn and R.J. Goldstein, An experimental
and theoretical study of natural convection in the
annulus between horizontal concentric cylinders,
Journal of Fluid Mechanics 74 (1976) 695-719.
[23] J.S. Yoo, Mixed convection of air between two
horizontal concentric cylinders with a cooled
rotating outer cylinder, International Journal of Heat
and Mass Transfer 41 (1998) 293-302.

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  • 1. 26 Trans. Phenom. Nano Micro Scales, 1(1): 26-36, Winter - Spring 2013 DOI: 10.7508/tpnms.2013.01.003 ORIGINAL RESEARCH PAPER . Numerical Study of Mixed Convection of Nanofluid in a Concentric Annulus with Rotating Inner Cylinder G. A. Sheikhzadeh 1 , H. Teimouri 1,* , M. Mahmoodi 1, 2 1 Department of Mechanical Engineering, University of Kashan, Kashan, Iran 2 Department of Mechanical Engineering, Amirkabir University of Technology, Tehran, Iran Abstract In this work, the steady and laminar mixed convection of nanofluid in horizontal concentric annulus with rotating inner cylinder is investigated numerically. The inner and outer cylinders are kept at constant temperature Ti and To respectively, where Ti>To. The annular space is filled with Alumina-water nanofluid. The governing equations with the corresponded boundary conditions in the polar coordinate are discretized using the finite volume method where pressure-velocity coupling is done by the SIMPLER algorithm. Numerical results have been obtained for Rayleigh number ranging from 102 to 105 , Reynolds number from 1 to 300 and nanoparticles volume fraction from 0.01 to 0.06. The effects of the Reynolds and Rayleigh numbers, average diameter of nanoparticles and the volume fraction of the nanoparticles on the fluid flow and heat transfer inside the annuli are investigated. According to the results, the average Nusselt number decreases with increasing the Reynolds number. However, the average Nusselt number increases by increasing the Rayleigh number. Moreover, the maximum average Nusselt number occurs for an optimal nanoparticle volume fraction except situations that heat conduction predominates over the heat convection. In these conditions the average Nusselt number is close to unity. Keywords: Concentric Annulus;Mixed Convection; Nanofluid; Finite Volume Method; Rotating Inner Cylinder 1. Introduction The problem of mixed convection in annulus between two rotating cylinders is noteworthy because of its wide applications. Some applications are methods for improvement of crystal formation in technological applications [1,2] food processing [3, 4], and journal bearing. The increase of generation of heat in industrial devices with decrease of their size increases need for higher heat transfer rate in minimum space. In spite of all of the advances in enhancement of heat transfer, the low thermal __________ * Corresponding author Email Address: hamidtmr@gmail.com conductivity of the traditional coolants is a great limitation in this way. One of the methods for increase the heat transfer is use of nanoparticles in the base fluid. The existence of the nanoparticles increases the viscosity which is an undesirable effect and reduces the rate of heat transfer. Based on these effects of nanoparticles, they can reduces or increases the rate of heat transfer based on the geometry and boundary conditions of the problem, type, size, shape, and volume fraction of the nanoparticles. Therefore when the nanofluid is used its effect on heat transfer must be investigated firstly. In continue some of works done on mixed convection in annuluses with rotating inner cylinder
  • 2. G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36 27 Nomenclature p PressureሺN mିଶ ሻ ߠ Angle P Dimensionless pressure ߆ Dimensionless temperature Pr Prandtl number ߤ Dynamic viscosity ሺܰ ‫ݏ‬ ݉ିଶ ሻ r Radial coordinateሺmሻ ߥ Kinematic viscosity (݉ଶ sିଵ ሻ R Dimensionless radial distance ߩ Density ሺ݇݃ ݉ିଷ ሻ RR Radius ratio ߮௣ Nanoparticle volume fraction ܴ′ Dimensionless position ୰ି୰౟ ୰౥ି୰౟ ߰ Stream function ሺ݉ଶ sିଵ ሻ Ra Rayleigh number ߖ Dimensionless stream function Re Reynolds number ߱ Angular velocityሺrad sିଵ ሻ T Temperature (Kሻ u, v Velocity componentsሺm sିଵ ሻ Subscripts U, V Dimensionless velocity components eff. Effective ݂଴ Fluid Greek symbols i Inner α Thermal diffusivity ሺmଶ sିଵ ሻ ݂݊ Nanofluid β Thermal expansion coefficient ሺKିଵ ሻ o Outer are reviewed. These works have been done for rotating Reynolds number lower than 2000 which the flow becomes two dimensional and laminar. As early as 1992, Lee [5] studied numerically laminar natural convection of air in eccentric annulus with rotating inner cylinders. He observed that in a constant Rayleigh number the average Nusselt number decreases with increase in rotation velocity of inner cylinder. Natural convection of nanofluids in a concentric annulus was firstly studied numerically by Abu-Nada et al. [6]. They used Brinkman [7] and Hamilton-Crosser [8] models for viscosity and thermal conductivity of the nanofluid, respectively. They observed enhanced heat transfer using nanofluid at low Rayleigh numbers. Abu-Nada [9,10] investigated effects of different viscosity and thermal conductivity models for nanofluid on natural convection in concentric annuluses. Izadi et al. [11] conducted a numerical study on developing laminar forced convection of Al2O3-water nanofluid in an annulus. They used Masoumi et al. [12] and Chon et al. [13] correlations for prediction of viscosity and thermal conductivity of the nanofluid, respectively. Their results showed that, in general, convective heat transfer coefficient increases with nanoparticle concentration. Base on the knowledge of the authors effect of nanoparticles on flow pattern and mixed convection in annulus between two concentric cylinders with rotating inner cylinder has not been investigated in literature. In the present work this problem is investigated. 2. Problem definition Figure 1 shows the geometry of present problem. Inner cylinder with radius of ri and the outer cylinder with radius of ro are kept at temperatures of Ti and To, respectively. The inner warmer cylinder rotates with the angular velocity of ω in counterclockwise direction. The annulus has infinite length. The annulus is filled with Al2O3-water nanofluid. According to ref. [14] for the Reynolds number lower than 2000 that the Taylor vortices are not formed the flow is two dimensional. In the present problem the natural convection is due to the temperature difference and gravity, while the forced convection is due to the rotation of inner cylinder. In the present work the effects of nanoparticles with different average diameters and volume fraction on the flow pattern and heat transfer are investigated. Also the effects of boundary conditions such as angular velocity of inner cylinder (Reynolds number) and temperature difference of two cylinders (Rayleigh number) are considered.
  • 3. G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36 28 Fig. 1. Geometry of the problem and the boundary conditions 3. Mathematical modeling The thermophysical properties of the nanofluid are considered to be constant with the exception of density in the buoyancy term in the momentum equation which varies according to the Boussinesq approximation. The nanoparticles are assumed to be uniform in shape and size. Moreover, the base fluid and the nanoparticles are assumed to be in thermal equilibrium. There is not any slip between the water and the nanoparticles. With the assumption of Newtonian fluid, steady state and incompressible flow, the governing equations in polar system coordinates are as follows: Continuity: (1) ߲‫ݒ‬ ߲‫ݎ‬ ൅ ‫ݒ‬ ‫ݎ‬ ൅ 1 ‫ݎ‬ ߲‫ݑ‬ ߲ߠ ൌ 0 Momentum equation in r direction: (2) ߩ௡௙ ቆ‫ݒ‬ ߲‫ݒ‬ ߲‫ݎ‬ ൅ ‫ݑ‬ ‫ݎ‬ ߲‫ݒ‬ ߲ߠ െ ‫ݑ‬ଶ ‫ݎ‬ ቇ ൌ െ ߲‫݌‬ ߲‫ݎ‬ ൅ ߤ௡௙ ቆ ߲ଶ ‫ݒ‬ ߲‫ݎ‬ଶ ൅ 1 ‫ݎ‬ ߲‫ݒ‬ ߲‫ݎ‬ െ ‫ݒ‬ ‫ݎ‬ଶ ൅ 1 ‫ݎ‬ଶ ߲ଶ ‫ݒ‬ ߲ߠଶ െ 2 ‫ݎ‬ଶ ߲‫ݑ‬ ߲ߠ ൰ ൅ ݂௥ Momentum equation in θ direction: (3) ߩ௡௙ ൬‫ݒ‬ ߲‫ݑ‬ ߲‫ݎ‬ ൅ ‫ݑ‬ ‫ݎ‬ ߲‫ݑ‬ ߲ߠ ൅ ‫ݒݑ‬ ‫ݎ‬ ൰ ൌ െ 1 ‫ݎ‬ ߲‫݌‬ ߲ߠ ൅ ߤ௡௙ ቆ ߲ଶ ‫ݑ‬ ߲‫ݎ‬ଶ ൅ 1 ‫ݎ‬ ߲‫ݑ‬ ߲‫ݎ‬ െ ‫ݑ‬ ‫ݎ‬ଶ ൅ 1 ‫ݎ‬ଶ ߲ଶ ‫ݑ‬ ߲ߠଶ ൅ 2 ‫ݎ‬ଶ ߲‫ݒ‬ ߲ߠ ൰ ൅ ݂ఏ Energy equation: (4)‫ݒ‬ ߲ܶ ߲‫ݎ‬ ൅ ‫ݑ‬ ‫ݎ‬ ߲ܶ ߲ߠ ൌ ߙ௡௙ሺ ߲ଶ ܶ ߲‫ݎ‬ଶ ൅ 1 ‫ݎ‬ ߲ܶ ߲‫ݎ‬ ൅ 1 ‫ݎ‬ଶ ߲ଶ ܶ ߲ߠଶ ሻ Where u and v are velocity components in radial and tangential direction, g is gravitational acceleration, µ, ρ, β, and α are viscosity, density, thermal expansion coefficient and thermal diffusivity coefficient, respectively. fr and fθ are components of volumetric forces in radial and tangential directions as follows: (5) ݂௥ ൌ ሺߩߚሻ௡௙݃ሺܶ െ ܶ௢ሻ ܿ‫ݏ݋‬ ߠ ݂ఏ ൌ െሺߩߚሻ௡௙݃ሺܶ െ ܶ௢ሻ ‫݊݅ݏ‬ ߠ The boundary conditions are: (6) ‫ݒ‬ ൌ 0, ‫ݑ‬ ൌ ‫ݎ‬௜߱, ܶ ൌ ܶ௜ ܽ‫ݐ‬ ‫ݎ‬ ൌ ‫ݎ‬௜ ‫ݒ‬ ൌ 0, ‫ݑ‬ ൌ 0, ܶ ൌ ܶ௢ ܽ‫ݐ‬ ‫ݎ‬ ൌ ‫ݎ‬௢ The following dimensionless parameters are considered in the problem [15, 16]: (7) ܸ ൌ ‫ݒ‬ ‫ݎ‬௜߱ ߆ ൌ ܶ െ ܶ௢ ܶ௜ െ ܶ௢ ܴ ൌ ‫ݎ‬ ݈ ܲ ൌ ‫݌‬ ߩ‫ݎ‬௜ ଶ߱ଶ ܷ ൌ ‫ݑ‬ ‫ݎ‬௜߱ (8)‫ܧ‬ ൌ ݁ ݈ ߖ ൌ ߰ ‫ݎ‬௜݈߱ where l is radius differences of inner and outer cylinders and is equal to (ro – ri). With the above parameters the governing equations are converted in non-dimensional form: Continuity: (9) ߲ܸ ߲ܴ ൅ ܸ ܴ ൅ 1 ܴ ߲ܷ ߲ߠ ൌ 0 ω Ti X r0 r ri θ g To Y
  • 4. G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36 29 Momentum equation in r direction: (10) ܸ ߲ܸ ߲ܴ ൅ ܷ ܴ ߲ܸ ߲ߠ െ ܷଶ ܴ ൌ െ ߩ௙ ߩ௡௙ ߲ܲ ߲ܴ ൅ ߥ௡௙ ߥ௙ 1 ܴ݁ ቆ ߲ଶ ܸ ߲ܴଶ ൅ 1 ܴ ߲ܸ ߲ܴ െ ܸ ܴଶ ൅ 1 ܴଶ ߲ଶ ܸ ߲ߠଶ െ 2 ܴଶ ߲ܷ ߲ߠ ൰ ൅ ߚ௡௙ ߚ௙ ܴܽ ܲ‫ܴ݁ݎ‬ଶ ߆ ܿ‫ݏ݋‬ ߠ Momentum equation in θ direction: (11) ܸ ߲ܷ ߲ܴ ൅ ܷ ܴ ߲ܷ ߲ߠ ൅ ܷܸ ܴ ൌ െ ߩ௙ ߩ௡௙ 1 ܴ ߲ܲ ߲ߠ ൅ ߥ௡௙ ߥ௙ 1 ܴ݁ ቆ ߲ଶ ܷ ߲ܴଶ ൅ 1 ܴ ߲ܷ ߲ܴ െ ܷ ܴଶ ൅ 1 ܴଶ ߲ଶ ܷ ߲ߠଶ ൅ 2 ܴଶ ߲ܸ ߲ߠ ൰ െ ߚ௡௙ ߚ௙ ܴܽ ܲ‫ܴ݁ݎ‬ଶ ߆ ‫݊݅ݏ‬ ߠ Energy equation: (12) ܸ ߲߆ ߲ܴ ൅ ܷ ܴ ߲߆ ߲ߠ ൌ ߙ௡௙ ߙ௙ 1 ܴ݁ܲ‫ݎ‬ ቆ ߲ଶ ߆ ߲ܴଶ ൅ 1 ܴ ߲߆ ߲ܴ ൅ 1 ܴଶ ߲ଶ ߆ ߲ߠଶ ൰ where Ra, Pr, and Re are Rayleigh, Prandtl, and Reynolds number and are defined as follows: (13) ܴܽ ൌ ݃ߚ௙ሺܶ௜ െ ܶ௢ሻ݈ଷ ߙ௙ߥ௙ , ܲ‫ݎ‬ ൌ ߥ௙ ߙ௙ , ܴ݁ ൌ ‫ݎ‬௜݈߱ ߥ௙ Also the boundary conditions in dimensionless form are: (14) ܸ ൌ 0, ܷ ൌ 1, ߆ ൌ 1 ܽ‫ݐ‬ ܴ ൌ ܴ௜ ܸ ൌ 0, ܷ ൌ 0, ߆ ൌ 0 ܽ‫ݐ‬ ܴ ൌ ܴ௢ The density, heat capacity, and thermal expansion coefficient of the nanofluid are: (15)ߩ௘௙௙ ൌ ൫1 െ ߮௣൯ߩ௙ ൅ ߮௣ߩ௣ (16)ܿ௘௙௙ ൌ ൫1 െ ߮௣൯ߩ௙ܿ௙ ൅ ߮௣ߩ௣ܿ௣ ߩ௘௙௙ (17)ߚ௘௙௙ ൌ ൫1 െ ߮௣൯ሺߩߚሻ௙ ൅ ߮௣ሺߩߚሻ௣ ߩ௘௙௙ Viscosity and thermal conductivity of nanofluid is calculated with the assumption of thermal equilibrium between base fluid and nanoparticles and uniform shape of the nanoparticles. The viscosity of Al2O3- water nanofluid with average diameters of 13, 28, and 36 mm is calculated by [17-19]: (18) ߤ௘௙௙ ൌ ൫1 ൅ 39.11߮௣ ൅ 533.9߮௣ ଶ ൯ߤ௙ ݀௣ ൌ 13 ݊݉. (19) ߤ௘௙௙ ൌ ൫1 ൅ 7.3߮௣ ൅ 123߮௣ ଶ ൯ߤ௙ ݀௣ ൌ 28 ݊݉. (20) ߤ௘௙௙ ൌ ൫1 ൅ 0.025߮௣ ൅ 0.015߮௣ ଶ ൯ߤ௙ ݀௣ ൌ 36 ݊݉. In (20) ߮௣ is in percentage. Thermal conductivity of Al2O3-water nanofluid is calculated according to the model proposed by Khanafer and Vafai [20]: (21) ቆ ݇௘௙௙ ݇௙ ቇ ஺௟మைయ ൌ 0.9843 ൅ 0.398߮௣ ଴.଻ଷ଼ଷ ቆ 1 ݀௣ሺ݊݉ሻ ቇ ଴.ଶଶସ଺ ቆ ߤ௘௙௙ሺܶሻ ߤ௙ሺܶሻ ቇ ଴.଴ଶଷହ െ3.9517 ߮௣ ܶ ൅ 34.034 ߮௣ ଶ ܶଷ ൅ 32.509 ߮௣ ܶଶ 0 ൑ ߮௣ ൑ 10%; 11݊݉ ൑ ݀ ൑ 150݊݉; 20°‫ܥ‬ ൑ ܶ ൑ 70°‫ܥ‬ Where ߮௣ is in percentage, T is in Celsius, and dp is in nm. The viscosity of water in different temperatures is obtained by: (22)ߤ௙ሺܶሻ ൌ 2.414 ൈ 10ିହ ൈ 10 ଶସ଻.଼ ሺ்ିଵସ଴ሻൗ Where T is in Kelvin. The thermophysical properties of water and Al2O3 at 293 K are presented in Table 1.
  • 5. G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36 30 Table 1 Thermophysical properties of water and Al2O3 Pr T (K) ρ (kg/m3 ) cp (J/kg K) k (W/m K) β×105 (1/K) 7.07293998.241820.5921 Water [21] –29339707650.8525 Al2O3 [9] The local Nusselt numbers on the inner and outer cylinders are calculated by the following equations [15, 22, 23]: (23) ܰ‫ݑ‬௜ ൌ െ‫ݎ‬௜݈݊ ൬ ‫ݎ‬௢ ‫ݎ‬௜ ൰ ݇௡௙ ݇௙ 1 ܶ௜ െ ܶ௢ ߲ܶ ߲‫ݎ‬ ቤ ௥ୀ௥೔ (24) ܰ‫ݑ‬௢ ൌ െ‫ݎ‬௢݈݊ ൬ ‫ݎ‬௢ ‫ݎ‬௜ ൰ ݇௡௙ ݇௙ 1 ܶ௜ െ ܶ௢ ߲ܶ ߲‫ݎ‬ ቤ ௥ୀ௥೚ The average Nusselt number on the inner cylinder is calculated by: (25)ܰ‫ݑ‬തതതത௜ ൌ 1 2ߨ න ܰ‫ݑ‬௜ሺߠሻ݀ߠ ଶగ ଴ Also the Nusselt number based on the dimensionless parameters is: (26)ܰ‫ݑ‬௜ ൌ െܴ௜݈݊ ൬ ܴ௢ ܴ௜ ൰ ݇௡௙ ݇௙ ߲߆ ߲ܴ ቤ ோୀோ೔ The streamfunction in polar coordinates is as follows: (27)‫ݒ‬ ൌ 1 ‫ݎ‬ ߲߰ ߲ߠ , ‫ݑ‬ ൌ െ ߲߰ ߲‫ݎ‬ 4. Numerical implementation The governing equations with the respective boundary conditions are discretized using the finite volume method. As shown in Fig. 2 a non-uniform grid is generated, then the governing equations are discretized on the grid points. The diffusion terms are discretized using a central difference scheme, while a hybrid scheme, which is a combination of central difference and upwind schemes, is used to discretize the convective terms. The velocity and pressure fields are coupled according to the SIMPLER algorithm based on a staggered grid. The set of algebraic equations are solved iteratively using TDMA method. Fig. 2. Non-uniform grid for the computational domain Different grid sizes are examined to ensure grid independence results. The tested grids and the obtained average Nusselt numbers are shown in Table 2. The results are obtained for air with Pr = 0.7, Re = 257 and Ra = 105 . The outer cylinder to inner cylinder diameter ratio is 2.6. Figure 3 shows variation of tangential velocity at θ = 90 for different grid sizes. According to the Fig. 3 and Table 2, an 81×41 grid is sufficiently fine. It should be noted that 81 points are in tangential direction while 41 grid points are in radial direction. Table 2 average Nusselt number for different grid sizes 41×2161×3181×41101×51 3.4873.5053.5143.518ܰ‫ݑ‬തതതത Fig. 3. variation of tangential velocity at θ = 90 for different grid sizes R' U 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 -1.4 -1.2 -1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 41-21 61-31 81-41 101-51
  • 6. G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36 31 For validation of the results, the obtained results in the present study are compared with results of other researchers. At the first step natural convection of air in a cylindrical annulus with constant temperature walls at Ra = 5×104 and diameter ratio of 2.6 is considered. The obtained results are compared with those of Kuehn and Goldstein [22] in Figs. 4 and 5. Fig. 4. Comparison of the local Nusselt number for two concentric cylinders obtained in the present study with those of Kuehn and Goldstein [22] Fig. 5. Comparison of the tangential velocity for two concentric cylinders obtained in the present study with those of Kuehn and Goldstein [22] Another test case is mixed convection in concentric annulus with rotating inner cylinder. The results are compared with those of Char and Hsu [16] and Lee [5] in Figs. 6 and 7. In Fig. 6 the Pr, Ra, and Re are 0.7, 105 and 119, respectively. In Fig. 7 the Pr and Ra are 0.7 and 105 respectively. As can be seen in the figures a good agreement exists between the results. The minor difference is due to difference in used numerical techniques and accuracy of discretization. Fig. 6. Comparison of the local Nusselt number for two concentric cylinders with rotating inner cylinder obtained in the present study with those of Char and Hsu [16] Fig. 7. Comparison of the average Nusselt number for two concentric cylinders with rotating inner cylinder obtained in the present study with those of Lee [5] 5. Results and discussions 5.1. Effect of Reynolds number on flow pattern and temperature distribution In this section effect of Reynolds number on fluid flow and heat transfer of Al2O3-water nanofluid in the annulus is considered. The diameter ratio of annulus is 2.6, the Rayleigh number is 104 , the average temperature of the walls is 293 K and the volume fraction of the nanoparticles is varying from 0 to 0.06. The results are obtained for Re = 1, 25, 100, and 300. Therefore the Richardson number which evaluate the θ(deg) Nu 0 20 40 60 80 100 120 140 160 180 0 1 2 3 4 5 6 7 8 9 10 11 Inner cylinder: present work Outer cylinder: present work Inner cylinder: experimental results of [22] Outer cylinder: experimental results of [22] R' U 0 0.2 0.4 0.6 0.8 1 -100 -80 -60 -40 -20 0 20 40 60 80 100 0o present work 90 o present work 0 o numerical results of [22] 90 o numerical results of [22] θ=90o θ=0ο θ Nu -180 -150 -120 -90 -60 -30 0 30 60 90 120 150 180 0 2 4 6 8 10 12 14 Inner cylinder: present work Outer cylinder: present work Inner cylinder; numerical results of [16] Outer cylinder; numerical results of [16] Re 0 50 100 150 200 250 300 3 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 4 E=0; present work E=(0.667,π); present work E=0; Numerical results of [5] E=(0.667,π); Numerical results of [5] ܰ‫ݑ‬തതത
  • 7. G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36 32 strength of natural convection compared to the forced convection is Ri = 1414.42, 2.26, 0.14, and 0.016. IsothermsStreamlines Re=1Re=25Re=100Re=300 Fig. 8. Streamlines and isotherms at Ra = 104 and different Reynolds numbers for nanofluid with ߮௣ = 0.06 (solid line) and pure fluid (dashed line) Figure 8 shows the streamlines and isotherms for nanofluid and base fluid. As can be seen from the streamlines at Re = 1 the rotation of the inner cylinder has a minor effect and two vortices are formed in side of the inner cylinder. These vortices are approximately symmetric. The fluid is heated at the vicinity of the inner cylinder and moves upward. Then blocked by the upper region of the outer cylinder and is cooled when moves downward along it. At this conditions the Richardson number is equal to 1414.14 and the natural convection is dominated the heat transfer. Also it is observed from Table 3 that the maximum value of stream function decreases with increase in ߮௣. Table 3 Minimum and maximum values of stream function for different values of Reynolds number ߮ ൌ 0߮ ൌ 0.06 Re ߰௠௜௡߰௠௔௫߰௠௜௡߰௠௔௫ -1.6331.891-1.1151.4141 00.22600.26625 00.34300.340100 00.35900.328300 With increase in the Reynolds number the right and left hand side vortices increases and decreases in size, respectively. Also the isotherms are condensed at the vicinity of the inner cylinder. The thermal plume is shifted to the left in the direction of rotation of the cylinder. With further increase in the Reynolds number the weak vortex formed by natural convection effect disappears. At Re = 100 and 300 the heat transfer occurs mainly through conduction and the average Nusselt number is close to unity and therefore the Nusselt number increases by increase in ߮௣. In contrast with Re = 100 that for ߮௣ = 0.06 the streamfunction has a little increase compared to the base fluid, at Re = 300 for ߮௣ = 0.06 stream function decreases compared to the base fluid. The local Nusselt numbers along the inner and outer cylinders at different Reynolds numbers are presented in Fig. 9 and Fig. 10, respectively. At Re = 1 the Nusselt number is approximately symmetric. Minimum heat transfer on the inner cylinder occurs on the location of separation of the plume, while its maximum value is on the lower portion of the cylinder. A reverse Nusselt number distribution is observed along the outer cylinder. With increase in Re minimum value of Nusselt number shifts the left side and variation of the Nusselt number decreases. At Re = 100 and 300 that heat transfer occurs mainly through conduction the Nusselt number is close to unity. 0.1 0.9 0.2 0.6 1 1.4 -1 -0.6 -0.2 0.1 0.9 0.2 0.16 0.22 0.12 0.26 0.1 0.9 0.26 0.34 0 0.1 0.9 0.32 0 0.24
  • 8. G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36 33 Fig. 9. Nusselt number distribution along the inner cylinder for different Reynolds numbers Fig. 10. Nusselt number distribution along the outer cylinder for different Reynolds numbers Figure 11 shows variations of average Nusselt number with volume fraction of the nanoparticles at different Reynolds numbers. It is observed that by increase in Reynolds number the Nusselt number decreases and reaches to unity. This behaviour is according to the results of ref.[16]. At Re = 1 and 25 with increase in ߮௣ from 0 to 0.01 the Nusselt number increases while with further increase in ߮௣ it decreases. At Re = 100 and 300 with increase in ߮௣ the Nusselt number show an increasing trend. 5.2. Effect of Rayleigh number on fluid flow and heat transfer in the annulus In this section effects of variation of Rayleigh number on fluid flow and heat transfer in the concentric annulus are investigated. The results are obtained for diameter ratio of 2.6, Re = 25 and average temperature of 293 K. the Rayleigh number is varying from 102 to 105 . Fig. 11. Average Nusselt number versus ߮௣ at Ra = 104 and different values of Re The streamlines and isotherms are shown in Fig. 12. As can be seen from the figure at Ra = 102 and 103 there is no vortices in the annulus. At these Rayleigh number the heat transfer occurs through conduction and therefore the increase in ߮௣ motivates the Nusselt number to increases. At Ra = 104 a thermal plume is formed. By increase in Rayleigh number the plume moves to the upper region of the outer cylinder and the strength of the vortices increases. At Ra = 105 the isotherms are condensed which is characteristics of temperature gradient and motivates the Nusselt number to increase. At this Rayleigh number the existence of the nanoparticles reduces the strength of the vortices. In Fig. 13 the average Nusselt numbers versus the volume fraction of the nanoparticles are illustrated. At Ra = 102 and 103 , which is conduction dominated regime, the Nusselt number is close to unity. At these Rayleigh numbers with increase in ߮௣ an increasing trend in Nusselt number is observed. At Ra = 104 a significant increase in Nusselt number in comparison with lower Rayleigh numbers is observed. It is because of formation of thermal plume at this Rayleigh number. At Ra = 104 and 105 the Nusselt number increases with increase in ߮௣ from 0 to 0.01. Further increase in ߮௣ motivates the Nusselt number to decrease. θ Nu 0 50 100 150 200 250 300 350 0 0.5 1 1.5 2 2.5 3 3.5 4 Re=1 Re=25 Re=100 Re=300 Inner cylinder θ Nu 0 50 100 150 200 250 300 350 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 Re=1 Re=25 Re=100 Re=300 Outer cylinder ϕ 0 0.01 0.02 0.03 0.04 0.05 0.06 0.8 1 1.2 1.4 1.6 1.8 2 2.2 Re=1 Re=25 Re=100 Re=300 ܰ‫ݑ‬തതത
  • 9. G.A. Sheikhzadeh et al./ TPNMS 1 (2013) 26-36 34 IsothermsStreamlinesRa=102 Ra=103 Ra=104 Ra=105 Fig. 12. Streamlines and isotherms at Re = 25 and different Rayleigh numbers for nanofluid with ߮௣ = 0.06 (solid line) and pure fluid (dashed line) 5.3. Effect of average diameter of nanoparticles on the average Nusselt number: The average diameter of the nanoparticles due to their effect on effective viscosity and thermal conductivity of the nanofluid has a great effect on average Nusselt number. Figure 14 depicted average Nusselt number versus volume fraction of the nanoparticles for different values of nanoparticles diameter at Re = 25 and Ra = 104 . As can be seen from the figure the average Nusselt number increases with increase in nanoparticles diameter. For dp = 13 nm the increase in ߮௣motivates the Nusselt number to decreases. The nanofluid with dp=36 nm has the highest effect on heat transfer enhancement. Fig. 13. Average Nusselt numbers versus volume fraction of the nanoparticles at Re = 25 and different Rayleigh numbers Fig. 14. Average Nusselt number versus volume fraction of the nanoparticles for different values of nanoparticles diameter at Re = 25 and Ra = 104 6. Conclusion Mixed convection of Al2O3-water nanofluid in a concentric cylindrical annulus with rotating inner cylinder was investigated numerically. Effects of some pertinent parameters such as Reynolds number, Rayleigh number, volume fraction of the nanoparticles, and average diameter of the nanoparticles on fluid flow and heat transfer were considered. The main findings of the paper are stated below: 0.9 0.1 0.32 0.28 0.04 0.9 0.1 0.32 0.24 0.04 0.1 0.9 0.2 0.16 0.22 0.12 0.26 0.9 0.7 0.1 -0.04 0 0.04 0.08 0.12 0.16 0.2 0.24 ϕ 0 0.01 0.02 0.03 0.04 0.05 0.06 1 1.5 2 2.5 3 3.5 Ra=102 Ra=103 Ra=104 Ra=105 ϕ 0 0.01 0.02 0.03 0.04 0.05 0.06 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9 2 dp=13 nm. dp=28 nm. dp=36 nm. T=293 K ܰ‫ݑ‬തതത ܰ‫ݑ‬തതത
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