SlideShare a Scribd company logo
1 of 40
Download to read offline
Convection
• Heat transfer in the presence of a fluid motion on a solid surface
•Various mechanisms at play in the fluid:
- advection  physical transport of the fluid
- diffusion  conduction in the fluid
- generation  due to fluid friction
•But fluid directly in contact with the wall does not move relative to it; hence
direct heat transport to the fluid is by conduction in the fluid only.
T(y)
q”
y y
U  T
Ts
u(y)
U 
 













 T
T
h
y
T
k
q s
y
f
conv
0
But depends on the whole fluid motion, and both fluid flow
and heat transfer equations are needed
0







y
y
T
T(y)
y T
U 
Ts
Convection
Free or natural convection
(induced by buoyancy
forces)
forced convection (driven
externally)
May occur with
phase change
(boiling,
condensation)
Convection
Typical values of h (W/m2K)
Free convection: gases: 2 - 25
liquid: 50 - 100
Forced convection: gases: 25 - 250
liquid: 50 - 20,000
Boiling/Condensation: 2500 -100,000
Heat transfer rate q = h( Ts-T  )W
h=heat transfer coefficient (W /m2K)
(h is not a property. It depends on
geometry ,nature of flow,
thermodynamics properties etc.)
T(y)
q”
y y
U  T
Ts
u(y)
U 
Convection rate equation
Main purpose of convective heat
transfer analysis is to determine:
• flow field
• temperature field in fluid
• heat transfer coefficient, h
q’’=heat flux = h(Ts - T)
q’’ = -k(T/ y)y=0
Hence, h = [-k(T/ y)y=0] / (Ts - T)
The expression shows that in order to determine h, we
must first determine the temperature distribution in the
thin fluid layer that coats the wall.
• extremely diverse
• several parameters involved (fluid properties, geometry, nature of flow,
phases etc)
• systematic approach required
• classify flows into certain types, based on certain parameters
• identify parameters governing the flow, and group them into meaningful
non-dimensional numbers
• need to understand the physics behind each phenomenon
Classes of convective flows:
Common classifications:
A. Based on geometry:
External flow / Internal flow
B. Based on driving mechanism
Natural convection / forced convection / mixed convection
C. Based on number of phases
Single phase / multiple phase
D. Based on nature of flow
Laminar / turbulent
How to solve a convection problem ?
• Solve governing equations along with boundary conditions
• Governing equations include
1. conservation of mass
2. conservation of momentum
3. conservation of energy
• In Conduction problems, only (3) is needed to be solved.
Hence, only few parameters are involved
• In Convection, all the governing equations need to be
solved.
 large number of parameters can be involved
• Nusselt No. Nu = hx / k = (convection heat transfer strength)/
(conduction heat transfer strength)
• Prandtl No. Pr = / = (momentum diffusivity)/ (thermal diffusivity)
• Reynolds No. Re = U x /  = (inertia force)/(viscous force)
Viscous force provides the dampening effect for disturbances in the
fluid. If dampening is strong enough  laminar flow
Otherwise, instability  turbulent flow  critical Reynolds number

Laminar Turbulent

Forced convection: Non-dimensional groupings
x q
T s
T
h=f(Fluid, Vel ,Distance,Temp)
•Fluid particle adjacent to the
solid surface is at rest
•These particles act to retard the
motion of adjoining layers
• boundary layer effect
Momentum balance: inertia forces, pressure gradient, viscous forces,
body forces
Energy balance: convective flux, diffusive flux, heat generation, energy
storage
FORCED CONVECTION:
external flow (over flat plate)
An internal flow is surrounded by solid boundaries that can restrict the
development of its boundary layer, for example, a pipe flow. An external flow, on
the other hand, are flows over bodies immersed in an unbounded fluid so that the
flow boundary layer can grow freely in one direction. Examples include the flows
over airfoils, ship hulls, turbine blades, etc.
One of the most important concepts in understanding the external flows is the
boundary layer development. For simplicity, we are going to analyze a boundary
layer flow over a flat plate with no curvature and no external pressure variation.
laminar turbulent
transition
Dye streak
U U U
U
Hydrodynamic boundary layer
Boundary layer definition
Boundary layer thickness (): defined as the distance away from the surface
where the local velocity reaches to 99% of the free-stream velocity, that is
u(y=)=0.99U. Somewhat an easy to understand but arbitrary definition.
Boundary layer is usually very thin: /x usually << 1.
Hydrodynamic and Thermal
boundary layers
As we have seen earlier,the hydrodynamic boundary layer is a region of a
fluid flow, near a solid surface, where the flow patterns are directly
influenced by viscous drag from the surface wall.
0<u<U, 0<y<
The Thermal Boundary Layer is a region of a fluid flow, near a solid
surface, where the fluid temperatures are directly influenced by heating or
cooling from the surface wall.
0<t<T, 0<y<t
The two boundary layers may be expected to have similar characteristics but
do not normally coincide. Liquid metals tend to conduct heat from the wall
easily and temperature changes are observed well outside the dynamic
boundary layer. Other materials tend to show velocity changes well outside
the thermal layer.
Effects of Prandtl number, Pr

T
Pr >>1
 >> 
e.g., oils
, T
Pr = 1
 = 
e.g., air and gases
have Pr ~ 1
(0.7 - 0.9)
W
W
T
T
T
T
U
u




to
similar
(Reynold’s analogy)
T

Pr <<1
 << 
e.g., liquid metals
Boundary layer equations (laminar flow)
• Simpler than general equations because boundary layer is thin

T

U
W
T

T

U
x
y
• Equations for 2D, laminar, steady boundary layer flow













































y
T
y
y
T
v
x
T
u
y
u
y
dx
dU
U
y
u
v
x
u
u
y
v
x
u


:
energy
of
on
Conservati
:
momentum
-
x
of
on
Conservati
0
:
mass
of
on
Conservati
• Note: for a flat plate, 0
hence
,
constant
is 


dx
dU
U
Exact solutions: Blasius
3
1
2
1
3
1
2
1
Pr
Re
678
.
0
number
Nusselt
Average
Pr
Re
339
.
0
number
Nusselt
Local
Re
Re
328
.
1
1
t
coefficien
drag
Average
,
Re
Re
664
.
0
t
coefficien
friction
Skin
Re
99
.
4
x
kness
layer thic
Boundary
0
0
2
2
1
L
x
x
L
L
L
f
D
y
w
x
x
w
f
x
u
N
Nu
L
U
dx
C
L
C
y
u
x
U
U
C






























 






Heat transfer coefficient
• Local heat transfer coefficient:
x
k
x
k
Nu
h x
x
x
3
1
2
1
Pr
Re
339
.
0


• Average heat transfer coefficient:
L
k
L
k
u
N
h L
3
1
2
1
Pr
Re
678
.
0


• Recall:   wall
from
rate
flow
heat
,


 T
T
A
h
q w
w
• Recall:   wall
from
rate
flow
heat
,


 T
T
A
h
q w
w
• Film temperature, Tfilm
For heated or cooled surfaces, the thermophysical properties within
the boundary layer should be selected based on the average
temperature of the wall and the free stream;  


 T
T
T w
film 2
1
Heat transfer coefficient
U
x Hydrodynamic
Boundary Layer, 
Convection
Coefficient, h.
Thermal Boundary
Layer, t
Laminar Region Turbulent Region
Laminar and turbulent b.l.
Turbulent boundary layer
 
 
etc.
:
way
usual
in
t
coefficien
fer
heat trans
Calculate
*
Re
664
.
0
Re
036
.
0
Pr
Pr
Re
036
.
0
Pr
Re
029
.
0
Re
328
.
1
Re
072
.
0
Re
1
Re
072
.
0
)
10
5
(Re
Re
059
.
0
:
data
al
experiment
on
based
ns
correlatio
use
mainly
will
We
*
solve.
to
difficult
more
infinitely
but
ones,
laminar
similar to
are
equations
b.l.
Turbulent
*
)
10
5
plate,
flat
over
flow
For
(
Re
.
turbulent
eventually
and
nal
transitio
becomes
flow
the
),
Re
Re
(
number
Reynolds
of
value
critical
a
Beyond
with x.
increases
Re
*
5
.
0
8
.
0
8
.
0
8
.
0
5
.
0
8
.
0
5
2
.
0
5
3
1
3
1
3
1
x
k
Nu
h
u
N
Nu
C
C
x
x
U
xc
xc
L
x
x
xc
xc
L
L
D
x
x
f
c
c
xc
xc
x
x


















 x
( )
x
0 0.5 1
0
0.5
1
• Boundary layer growth:  x
• Initial growth is fast
• Growth rate d/dx  1/x,
decreasing downstream.
 w x
( )
x
0 0.5
0
5
10
• Wall shear stress: w  1/x
• As the boundary layer grows, the
wall shear stress decreases as the
velocity gradient at the wall becomes
less steep.
Laminar Boundary Layer Development
Determine the boundary layer thickness, the wall shear stress of a laminar water flow
over a flat plate. The free stream velocity is 1 m/s, the kinematic viscosity of the water
is 10-6 m2/s. The density of the water is 1,000 kg/m3. The transition Reynolds number
Re=Ux/=5105. Determine the distance downstream of the leading edge when the
boundary transitions to turbulent. Determine the total frictional drag produced by the
laminar and turbulent portions of the plate which is 1 m long. If the free stream and
plate temperatures are 100 C and 25 C, respectively, determine the heat transfer rate
from the plate.
3
2
w
( ) 5 5 10 ( ).
Therefore, for a 1m long plate, the boundary layer grows by 0.005(m),
or 5 mm, a very thin layer.
0.332 0.0105
The wall shear stress, 0.332 ( )
Re
The transition Reyn
x
x
x x m
U
U U
U Pa
x x


 



 

  
  
5
U
olds number: Re 5 10 , 0.5( )
tr
tr
x
x m


   
Example
2
D
0 0
f
2
The total frictional drag is equal to the integration of the wall shear stress:
0.664
F (1) 0.332 0.939( )
Re
Define skin friction coefficient: C
0.664
for a
1 Re
2
tr tr
tr
x x
w
x
w
f
x
U U
dx U dx N
x
C
U
 



 


   
 
 
laminar boundary layer.
Example (cont..)

 D
U
D


Re
Perimeter
Area
4

h
D
D
k
N
h
k
D
h
N
A
U
C u
u
normal
D 



;
;
force
Drag
2
2
1

Forced convection over exterior bodies
• Much more complicated.
•Some boundary layer may exist, but it is likely
to be curved and U will not be constant.
• Boundary layer may also separate from the
wall.
• Correlations based on experimental data can
be used for flow and heat transfer calculations
• Reynolds number should now be based on a
characteristic diameter.
• If body is not circular, the equivalent
diameter Dh is used
0.7
0.08
10
-
10
2
0.6
0.26
10
2
-
10
0.5
0.51
10
-
40
0.4
0.75
40
1
m
C
Re
Pr
Pr
Re
u
N
6
5
5
3
3
D
25
.
62
.




s
m
D
C
Flow over circular cylinders
All properties at free stream
temperature, Prs at cylinder
surface temperature
• Thermal conditions
 Laminar or turbulent
 entrance flow and fully developed thermal condition
For laminar flows the thermal entrance length is a function of the
Reynolds number and the Prandtl number: xfd,t/D  0.05ReDPr,
where the Prandtl number is defined as Pr = / and  is the thermal
diffusitivity.
For turbulent flow, xfd,t  10D.
FORCED CONVECTION: Internal flow
Thermal entrance region, xfd,t
e.g. pipe flow
Thermal Conditions
• For a fully developed pipe flow, the convection
coefficient does not vary along the pipe length.
(provided all thermal and flow properties are constant)
x
h(x)
xfd,t
constant
• Newton’s law of cooling: q”S = hA(TS-Tm)
Question: since the temperature inside a pipe flow does not remain
constant, we should use a mean temperature Tm , which is defines
as follows:
Energy Transfer
Consider the total thermal energy carried by the fluid as
(mass flux) (internal energy)
v
A
VC TdA
 

Now imagine this same amount of energy is carried by a body
of fluid with the same mass flow rate but at a uniform mean
temperature Tm. Therefore Tm can be defined as
v
A
m
v
VC TdA
T
mC



&
Consider Tm as the reference temperature of the fluid so that the
total heat transfer between the pipe and the fluid is governed by the
Newton’s cooling law as: qs”=h(Ts-Tm), where h is the local
convection coefficient, and Ts is the local surface temperature.
Note: usually Tm is not a constant and it varies along the pipe
depending on the condition of the heat transfer.
Energy Balance
Example: We would like to design a solar water heater that can heat up the
water temperature from 20° C to 50° C at a water flow rate of 0.15 kg/s. The
water is flowing through a 0.05 m diameter pipe and is receiving a net solar
radiation flux of 200 W/m of pipe length. Determine the total pipe length
required to achieve the goal.
Example (cont.)
Questions: (1) How to determine the heat transfer coefficient, h?
There are a total of six parameters involved in this problem: h, V, D, , kf,
cp. The temperature dependence of properties is implicit and is only
through the variation of thermal properties. Density  is included in the
kinematic viscosity, . According to the Buckingham theorem, it is
possible for us to reduce the number of parameters by three. Therefore, the
convection coefficient relationship can be reduced to a function of only
three variables:
Nu=hD/kf, Nusselt number, Re=VD/, Reynolds number, and
Pr=, Prandtl number.
This conclusion is consistent with empirical observation, that is
Nu=f(Re, Pr). If we can determine the Reynolds and the Prandtl numbers,
we can find the Nusselt number and hence, the heat transfer coefficient, h.
Convection Correlations
ln(Nu)
ln(Re)
slope m
Fixed Pr
ln(Nu)
ln(Pr)
slope n
Fixed Re
D s
D s
Laminar, fully developed circular pipe flow:
Nu 4.36, when q " constant, (page 543, ch. 10-6, ITHT)
Nu 3.66, when T constant, (page 543, ch. 10-6, ITHT)
Note: t
f
hD
k

  
 
m
he therma conductivity should be calculated at T .
Fully developed, turbulent pipe flow: Nu f(Re, Pr),
Nu can be related to Re & Pr experimentally, as shown.
 
Empirical Correlations
4/5
D
s m s m
D
Dittus-Boelter equation: Nu 0.023Re Pr , (eq 10-76, p 546, ITHT)
where n 0.4 for heating (T T ), n 0.3 for cooling (T T ).
The range of validity: 0.7 Pr 160, Re 10,000, / 10.
n
L D

   
   
Note: This equation can be used only for moderate temperature difference with all
the properties evaluated at Tm.
Other more accurate correlation equations can be found in other references.
Caution: The ranges of application for these correlations can be quite different.
D 1/ 2 2 / 3
D
( / 8)(Re 1000) Pr
Nu (from other reference)
1 12.7( / 8) (Pr 1)
It is valid for 0.5 Pr 2000 and 3000 Re 5 10
D
f
f


 
     6
m
.
All properties are calculated at T .
Example (cont.)
In our example, we need to first calculate the Reynolds number: water at 35°C,
Cp=4.18(kJ/kg.K), =7x10-4 (N.s/m2), kf=0.626 (W/m.K), Pr=4.8.
4
D 1/ 2 2 / 3
4 4(0.15)
Re 5460
(0.05)(7 10 )
Re 4000, it is turbulent pipe flow.
Use the Gnielinski correlation, from the Moody chart, f 0.036, Pr 4.8
( / 8)(Re 1000) Pr (0.
Nu
1 12.7( / 8) (Pr 1)
D
m D
VD m
A
D
f
f

     
    


 

 
 
&
&
1/ 2 2 / 3
2
036 / 8)(5460 1000)(4.8)
37.4
1 12.7(0.036 / 8) (4.8 1)
0.626
(37.4) 469( / . )
0.05
f
D
k
h Nu W m K
D


 
  
Energy Balance
Question (2): How can we determine the required pipe length?
Use energy balance concept: (energy storage) = (energy in) minus (energy out).
energy in = energy received during a steady state operation (assume no loss)
'( ) ( ),
( ) (0.15)(4180)(50 20)
94( )
' 200
P out in
P in out
q L mC T T
mC T T
L m
q
 
 
  
&
&
q’=q/L
Tin Tout
Temperature Distribution
s s
s
From local Newton's cooling law:
q hA(T ) ' ( )(T ( ) ( ))
' 200
( ) ( ) 20 0.319 22.7 0.319 ( )
(0.05)(469)
At the end of the pipe, T ( 94) 52.7( )
m m
s m
T q x h D x x T x
q
T x T x x x C
Dh
x C

 
      
       
  
Question (3): Can we determine the water temperature variation along the pipe?
Recognize the fact that the energy balance equation is valid for
any pipe length x:
'( ) ( ( ) )
' 200
( ) 20 20 0.319
(0.15)(4180)
It is a linear distribution along the pipe
P in
in
P
q x mC T x T
q
T x T x x x
mC
 
     
&
&
Question (4): How about the surface temperature distribution?
Temperature variation for constant heat flux
Note: These distributions are valid only in the fully developed region. In the
entrance region, the convection condition should be different. In general, the
entrance length x/D10 for a turbulent pipe flow and is usually negligible as
compared to the total pipe length.
T m x
( )
T s x
( )
x
0 20 40 60 80 100
20
30
40
50
60
Constant temperature
difference due to the
constant heat flux.
Internal Flow Convection
-constant surface temperature case
Another commonly encountered internal convection condition is when the
surface temperature of the pipe is a constant. The temperature distribution in
this case is drastically different from that of a constant heat flux case. Consider
the following pipe flow configuration:
Tm,i Tm,o
Constant Ts
Tm Tm+dTm
qs=hA(Ts-Tm)
p
p
s
p s
Energy change mC [( ) ]
mC
Energy in hA(T )
Energy change energy in
mC hA(T )
m m m
m
m
m m
T dT T
dT
T
dT T
  

 

 
&
&
&
dx
Temperature distribution
p s
s m
m
mC hA(T ),
Note: q hA(T ) is valid locally only, since T is not a constant
, where A Pdx, and P is the perimeter of the pipe
(T )
Integrate from the inlet to a diatance x downstr
m m
m
m
s P
dT T
T
dT hA
T mC
 
 
  

&
&
,
,
( )
0 0
m
( )
m
0
eam:
(T )
ln(T ) | , where L is the total pipe length
and h is the averaged convection coefficient of the pipe between 0 & x.
1
, or
m
m i
m
m i
T x x x
m
T
s P P
T x
s T
P
x
dT hP P
dx hdx
T mC mC
Ph
T x
mC
h hdx hdx
x
   

  

  

& &
&
0
x
hx


Temperature distribution
,
( )
exp( ), for constant surface temperature
m s
m i s P
T x T Ph
x
T T mC

 
 &
T x
( )
x
Tm(x)
Constant surface temperature
Ts
The difference between the averaged fluid temperature and the surface
temperature decreases exponentially further downstream along the pipe.
Log-Mean Temperature Difference
,
,
, , , ,
For the entire pipe:
( )
exp( ) or
ln( )
( ) (( ) ( ))
( )
ln( )
where is cal
ln( )
m o s o s
P
o
m i s i P
i
P m o m i P s m i s m o
o i
P i o s s lm
o
i
o i
lm
o
i
T T T hA
h PL
mC
T
T T T mC
T
q mC T T mC T T T T
T T
mC T T hA hA T
T
T
T T
T
T
T
 
    

 

     
  
      


  
 


&
&
& &
&
led the log mean temperature difference.
This relation is valid for the entire pipe.
Free Convection
A free convection flow field is a self-sustained flow driven by the
presence of a temperature gradient. (As opposed to a forced
convection flow where external means are used to provide the flow.)
As a result of the temperature difference, the density field is not
uniform also. Buoyancy will induce a flow current due to the
gravitational field and the variation in the density field. In general,
a free convection heat transfer is usually much smaller compared to
a forced convection heat transfer. It is therefore important only
when there is no external flow exists.
hot
cold
  
T  
Flow is unstable and a circulatory
pattern will be induced.
Basic Definitions
Buoyancy effect:
Warm, 
Surrounding fluid, cold, 
Hot plate
Net force=(- gV
The density difference is due to the temperature difference and it can be
characterized by ther volumetric thermal expansion coefficient, :
1 1 1
( )P
T T T T
T
 
 

  
 



 
     
  
  
Grashof Number and Rayleigh Number
Define Grashof number, Gr, as the ratio between the buoyancy force and the
viscous force: 3
3
2 2
( )
S
g T T L
g TL
Gr


 



 
• Grashof number replaces the Reynolds number in the convection correlation
equation. In free convection, buoyancy driven flow sometimes dominates the
flow inertia, therefore, the Nusselt number is a function of the Grashof number
and the Prandtle number alone. Nu=f(Gr, Pr). Reynolds number will be
important if there is an external flow. (combined forced and free convection.
• In many instances, it is better to combine the Grashof number and the
Prandtle number to define a new parameter, the Rayleigh number, Ra=GrPr.
The most important use of the Rayleigh number is to characterize the laminar
to turbulence transition of a free convection boundary layer flow. For
example, when Ra>109, the vertical free convection boundary layer flow over
a flat plate becomes turbulent.
Example
Determine the rate of heat loss from a heated pipe as a result of
natural (free) convection.
Ts=100C
T=0°C D=0.1 m
Film temperature( Tf): averaged boundary layer temperature Tf=1/2(Ts+T )=50 C.
kf=0.03 W/m.K, Pr=0.7, =210-5 m2/s, =1/Tf=1/(273+50)=0.0031(1/K)
3 3
6
2 5 2
1/ 6
2
9 /16 8 / 27
2
( ) (9.8)(0.0031)(100 0)(0.1)
Pr (0.7) 7.6 10 .
(2 10 )
0.387
{0.6 } 26.0 (equation 11.15 in Table 11.1)
[1 (0.559 / Pr) ]
0.03
(26) 7.8( / )
0.1
( ) (7.8)( )(
S
D
f
D
S
g T T L
Ra
Ra
Nu
k
h Nu W m K
D
q hA T T






 
   

  

  
   0.1)(1)(100 0) 244.9( )
Can be significant if the pipe are long.
W
 

More Related Content

Similar to Heat Transfer by Convection: Mechanisms and Analysis

FluidMechanics wren 201 Lecture 1.pptx
FluidMechanics wren 201 Lecture 1.pptxFluidMechanics wren 201 Lecture 1.pptx
FluidMechanics wren 201 Lecture 1.pptxAliyuAliyu16
 
kuliah-3-fundamental-of-convection3(0).ppt
kuliah-3-fundamental-of-convection3(0).pptkuliah-3-fundamental-of-convection3(0).ppt
kuliah-3-fundamental-of-convection3(0).pptssuser355c2a
 
convection heat transfer convection heat
convection heat transfer convection heatconvection heat transfer convection heat
convection heat transfer convection heatLalerz
 
chapter 1 introduction1.pdf
chapter 1 introduction1.pdfchapter 1 introduction1.pdf
chapter 1 introduction1.pdfNebiyuNeba
 
9-Viscous flow in ducts.pptx
9-Viscous flow in ducts.pptx9-Viscous flow in ducts.pptx
9-Viscous flow in ducts.pptxDaniel678511
 
Mechanics of fluids note
Mechanics of fluids noteMechanics of fluids note
Mechanics of fluids noteSHAMJITH KM
 
convection-1.ppt
convection-1.pptconvection-1.ppt
convection-1.pptOISTMEHOD
 
Forced convection
Forced convectionForced convection
Forced convectionmsg15
 
Fluid dynamics 1
Fluid dynamics 1Fluid dynamics 1
Fluid dynamics 1guest7b51c7
 
Fluid dynamics 1
Fluid dynamics 1Fluid dynamics 1
Fluid dynamics 1guest7b51c7
 
Friction in noncircular conduits of fluid.pptx
Friction in noncircular conduits of fluid.pptxFriction in noncircular conduits of fluid.pptx
Friction in noncircular conduits of fluid.pptxMuhammadHabib533231
 
Fuels and Combustion
Fuels and CombustionFuels and Combustion
Fuels and CombustionYuri Melliza
 

Similar to Heat Transfer by Convection: Mechanisms and Analysis (20)

MET 214 Module 3
MET 214 Module 3 MET 214 Module 3
MET 214 Module 3
 
Heat transfer modes
Heat transfer modesHeat transfer modes
Heat transfer modes
 
FluidMechanics wren 201 Lecture 1.pptx
FluidMechanics wren 201 Lecture 1.pptxFluidMechanics wren 201 Lecture 1.pptx
FluidMechanics wren 201 Lecture 1.pptx
 
kuliah-3-fundamental-of-convection3(0).ppt
kuliah-3-fundamental-of-convection3(0).pptkuliah-3-fundamental-of-convection3(0).ppt
kuliah-3-fundamental-of-convection3(0).ppt
 
convection heat transfer convection heat
convection heat transfer convection heatconvection heat transfer convection heat
convection heat transfer convection heat
 
chapter 1 introduction1.pdf
chapter 1 introduction1.pdfchapter 1 introduction1.pdf
chapter 1 introduction1.pdf
 
9-Viscous flow in ducts.pptx
9-Viscous flow in ducts.pptx9-Viscous flow in ducts.pptx
9-Viscous flow in ducts.pptx
 
Uppload chap 5 convection heat trasnfer
Uppload chap  5 convection heat trasnferUppload chap  5 convection heat trasnfer
Uppload chap 5 convection heat trasnfer
 
S08 chap6 web
S08 chap6 webS08 chap6 web
S08 chap6 web
 
Mechanics of fluids note
Mechanics of fluids noteMechanics of fluids note
Mechanics of fluids note
 
convection-1.ppt
convection-1.pptconvection-1.ppt
convection-1.ppt
 
F convection.ppt
F convection.pptF convection.ppt
F convection.ppt
 
Forced convection
Forced convectionForced convection
Forced convection
 
Fluid dynamics 1
Fluid dynamics 1Fluid dynamics 1
Fluid dynamics 1
 
Fluid dynamics 1
Fluid dynamics 1Fluid dynamics 1
Fluid dynamics 1
 
Friction in noncircular conduits of fluid.pptx
Friction in noncircular conduits of fluid.pptxFriction in noncircular conduits of fluid.pptx
Friction in noncircular conduits of fluid.pptx
 
Chapter9.pdf
Chapter9.pdfChapter9.pdf
Chapter9.pdf
 
Fuels and Combustion
Fuels and CombustionFuels and Combustion
Fuels and Combustion
 
Transport phenomena
Transport phenomenaTransport phenomena
Transport phenomena
 
Lecher-9.ppt
Lecher-9.pptLecher-9.ppt
Lecher-9.ppt
 

More from ssusercf6d0e

Paul J. Boudreaux Consider a Mixed Analog/Digital/MEMs
Paul J. Boudreaux Consider a Mixed Analog/Digital/MEMsPaul J. Boudreaux Consider a Mixed Analog/Digital/MEMs
Paul J. Boudreaux Consider a Mixed Analog/Digital/MEMsssusercf6d0e
 
13055193.ppt This is heat sink material.
13055193.ppt This is heat sink material.13055193.ppt This is heat sink material.
13055193.ppt This is heat sink material.ssusercf6d0e
 
Billetdefects-Off-cornercracksformationpreventionandevolution.pdf
Billetdefects-Off-cornercracksformationpreventionandevolution.pdfBilletdefects-Off-cornercracksformationpreventionandevolution.pdf
Billetdefects-Off-cornercracksformationpreventionandevolution.pdfssusercf6d0e
 
A_Simulation_Method_for_the_Optimization_of_Coolin-Good.pdf
A_Simulation_Method_for_the_Optimization_of_Coolin-Good.pdfA_Simulation_Method_for_the_Optimization_of_Coolin-Good.pdf
A_Simulation_Method_for_the_Optimization_of_Coolin-Good.pdfssusercf6d0e
 
aiaa-2000 numerical investigation premixed combustion
aiaa-2000 numerical investigation premixed combustionaiaa-2000 numerical investigation premixed combustion
aiaa-2000 numerical investigation premixed combustionssusercf6d0e
 
tses_article147 mathematical modeling combustion
tses_article147 mathematical modeling combustiontses_article147 mathematical modeling combustion
tses_article147 mathematical modeling combustionssusercf6d0e
 
detonation using cfd code 944-1-5119-1-10-20180129.pdf
detonation using cfd code 944-1-5119-1-10-20180129.pdfdetonation using cfd code 944-1-5119-1-10-20180129.pdf
detonation using cfd code 944-1-5119-1-10-20180129.pdfssusercf6d0e
 
How_to_blockMesh using OpenFOAM good mateiral
How_to_blockMesh using OpenFOAM good mateiralHow_to_blockMesh using OpenFOAM good mateiral
How_to_blockMesh using OpenFOAM good mateiralssusercf6d0e
 
complex mesh generation with openFOAM thchnical
complex mesh generation with openFOAM thchnicalcomplex mesh generation with openFOAM thchnical
complex mesh generation with openFOAM thchnicalssusercf6d0e
 
design optimization of a single-strand tundish based on CFD
design optimization of a single-strand tundish based on CFDdesign optimization of a single-strand tundish based on CFD
design optimization of a single-strand tundish based on CFDssusercf6d0e
 
Numerical calculation of rotating detonation chambe
Numerical calculation of rotating detonation chambeNumerical calculation of rotating detonation chambe
Numerical calculation of rotating detonation chambessusercf6d0e
 
Numerical Simulations of hot jet detonation
Numerical Simulations of hot jet detonationNumerical Simulations of hot jet detonation
Numerical Simulations of hot jet detonationssusercf6d0e
 
01-intro_Bakker.pdf
01-intro_Bakker.pdf01-intro_Bakker.pdf
01-intro_Bakker.pdfssusercf6d0e
 
016IndustrialBoilersAndHeatRecovery.pdf
016IndustrialBoilersAndHeatRecovery.pdf016IndustrialBoilersAndHeatRecovery.pdf
016IndustrialBoilersAndHeatRecovery.pdfssusercf6d0e
 
EURAPO_Catalogo_UCS600-UCS900_EN_012_25022016.pdf
EURAPO_Catalogo_UCS600-UCS900_EN_012_25022016.pdfEURAPO_Catalogo_UCS600-UCS900_EN_012_25022016.pdf
EURAPO_Catalogo_UCS600-UCS900_EN_012_25022016.pdfssusercf6d0e
 

More from ssusercf6d0e (20)

Paul J. Boudreaux Consider a Mixed Analog/Digital/MEMs
Paul J. Boudreaux Consider a Mixed Analog/Digital/MEMsPaul J. Boudreaux Consider a Mixed Analog/Digital/MEMs
Paul J. Boudreaux Consider a Mixed Analog/Digital/MEMs
 
13055193.ppt This is heat sink material.
13055193.ppt This is heat sink material.13055193.ppt This is heat sink material.
13055193.ppt This is heat sink material.
 
Billetdefects-Off-cornercracksformationpreventionandevolution.pdf
Billetdefects-Off-cornercracksformationpreventionandevolution.pdfBilletdefects-Off-cornercracksformationpreventionandevolution.pdf
Billetdefects-Off-cornercracksformationpreventionandevolution.pdf
 
A_Simulation_Method_for_the_Optimization_of_Coolin-Good.pdf
A_Simulation_Method_for_the_Optimization_of_Coolin-Good.pdfA_Simulation_Method_for_the_Optimization_of_Coolin-Good.pdf
A_Simulation_Method_for_the_Optimization_of_Coolin-Good.pdf
 
aiaa-2000 numerical investigation premixed combustion
aiaa-2000 numerical investigation premixed combustionaiaa-2000 numerical investigation premixed combustion
aiaa-2000 numerical investigation premixed combustion
 
tses_article147 mathematical modeling combustion
tses_article147 mathematical modeling combustiontses_article147 mathematical modeling combustion
tses_article147 mathematical modeling combustion
 
detonation using cfd code 944-1-5119-1-10-20180129.pdf
detonation using cfd code 944-1-5119-1-10-20180129.pdfdetonation using cfd code 944-1-5119-1-10-20180129.pdf
detonation using cfd code 944-1-5119-1-10-20180129.pdf
 
How_to_blockMesh using OpenFOAM good mateiral
How_to_blockMesh using OpenFOAM good mateiralHow_to_blockMesh using OpenFOAM good mateiral
How_to_blockMesh using OpenFOAM good mateiral
 
complex mesh generation with openFOAM thchnical
complex mesh generation with openFOAM thchnicalcomplex mesh generation with openFOAM thchnical
complex mesh generation with openFOAM thchnical
 
design optimization of a single-strand tundish based on CFD
design optimization of a single-strand tundish based on CFDdesign optimization of a single-strand tundish based on CFD
design optimization of a single-strand tundish based on CFD
 
Numerical calculation of rotating detonation chambe
Numerical calculation of rotating detonation chambeNumerical calculation of rotating detonation chambe
Numerical calculation of rotating detonation chambe
 
Numerical Simulations of hot jet detonation
Numerical Simulations of hot jet detonationNumerical Simulations of hot jet detonation
Numerical Simulations of hot jet detonation
 
Chapter 3.pdf
Chapter 3.pdfChapter 3.pdf
Chapter 3.pdf
 
Chapter_5.pdf
Chapter_5.pdfChapter_5.pdf
Chapter_5.pdf
 
Chapter 6.pdf
Chapter 6.pdfChapter 6.pdf
Chapter 6.pdf
 
01-intro_Bakker.pdf
01-intro_Bakker.pdf01-intro_Bakker.pdf
01-intro_Bakker.pdf
 
CFD_Lecture_1.pdf
CFD_Lecture_1.pdfCFD_Lecture_1.pdf
CFD_Lecture_1.pdf
 
9979190.pdf
9979190.pdf9979190.pdf
9979190.pdf
 
016IndustrialBoilersAndHeatRecovery.pdf
016IndustrialBoilersAndHeatRecovery.pdf016IndustrialBoilersAndHeatRecovery.pdf
016IndustrialBoilersAndHeatRecovery.pdf
 
EURAPO_Catalogo_UCS600-UCS900_EN_012_25022016.pdf
EURAPO_Catalogo_UCS600-UCS900_EN_012_25022016.pdfEURAPO_Catalogo_UCS600-UCS900_EN_012_25022016.pdf
EURAPO_Catalogo_UCS600-UCS900_EN_012_25022016.pdf
 

Recently uploaded

Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)Suman Mia
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations120cr0395
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...ranjana rawat
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINESIVASHANKAR N
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxpurnimasatapathy1234
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxJoão Esperancinha
 
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingUNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingrknatarajan
 
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...RajaP95
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝soniya singh
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxupamatechverse
 
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptxthe ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptxhumanexperienceaaa
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
 

Recently uploaded (20)

Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)Software Development Life Cycle By  Team Orange (Dept. of Pharmacy)
Software Development Life Cycle By Team Orange (Dept. of Pharmacy)
 
Extrusion Processes and Their Limitations
Extrusion Processes and Their LimitationsExtrusion Processes and Their Limitations
Extrusion Processes and Their Limitations
 
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
(SHREYA) Chakan Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Esc...
 
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCRCall Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
Call Us -/9953056974- Call Girls In Vikaspuri-/- Delhi NCR
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
 
Roadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and RoutesRoadmap to Membership of RICS - Pathways and Routes
Roadmap to Membership of RICS - Pathways and Routes
 
Microscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptxMicroscopic Analysis of Ceramic Materials.pptx
Microscopic Analysis of Ceramic Materials.pptx
 
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptxDecoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
 
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingUNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
 
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
 
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
 
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptxthe ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
 
Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINEDJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
 

Heat Transfer by Convection: Mechanisms and Analysis

  • 1.
  • 2. Convection • Heat transfer in the presence of a fluid motion on a solid surface •Various mechanisms at play in the fluid: - advection  physical transport of the fluid - diffusion  conduction in the fluid - generation  due to fluid friction •But fluid directly in contact with the wall does not move relative to it; hence direct heat transport to the fluid is by conduction in the fluid only. T(y) q” y y U  T Ts u(y) U                  T T h y T k q s y f conv 0 But depends on the whole fluid motion, and both fluid flow and heat transfer equations are needed 0        y y T T(y) y T U  Ts
  • 3. Convection Free or natural convection (induced by buoyancy forces) forced convection (driven externally) May occur with phase change (boiling, condensation) Convection Typical values of h (W/m2K) Free convection: gases: 2 - 25 liquid: 50 - 100 Forced convection: gases: 25 - 250 liquid: 50 - 20,000 Boiling/Condensation: 2500 -100,000 Heat transfer rate q = h( Ts-T  )W h=heat transfer coefficient (W /m2K) (h is not a property. It depends on geometry ,nature of flow, thermodynamics properties etc.)
  • 4. T(y) q” y y U  T Ts u(y) U  Convection rate equation Main purpose of convective heat transfer analysis is to determine: • flow field • temperature field in fluid • heat transfer coefficient, h q’’=heat flux = h(Ts - T) q’’ = -k(T/ y)y=0 Hence, h = [-k(T/ y)y=0] / (Ts - T) The expression shows that in order to determine h, we must first determine the temperature distribution in the thin fluid layer that coats the wall.
  • 5. • extremely diverse • several parameters involved (fluid properties, geometry, nature of flow, phases etc) • systematic approach required • classify flows into certain types, based on certain parameters • identify parameters governing the flow, and group them into meaningful non-dimensional numbers • need to understand the physics behind each phenomenon Classes of convective flows: Common classifications: A. Based on geometry: External flow / Internal flow B. Based on driving mechanism Natural convection / forced convection / mixed convection C. Based on number of phases Single phase / multiple phase D. Based on nature of flow Laminar / turbulent
  • 6. How to solve a convection problem ? • Solve governing equations along with boundary conditions • Governing equations include 1. conservation of mass 2. conservation of momentum 3. conservation of energy • In Conduction problems, only (3) is needed to be solved. Hence, only few parameters are involved • In Convection, all the governing equations need to be solved.  large number of parameters can be involved
  • 7. • Nusselt No. Nu = hx / k = (convection heat transfer strength)/ (conduction heat transfer strength) • Prandtl No. Pr = / = (momentum diffusivity)/ (thermal diffusivity) • Reynolds No. Re = U x /  = (inertia force)/(viscous force) Viscous force provides the dampening effect for disturbances in the fluid. If dampening is strong enough  laminar flow Otherwise, instability  turbulent flow  critical Reynolds number  Laminar Turbulent  Forced convection: Non-dimensional groupings
  • 8. x q T s T h=f(Fluid, Vel ,Distance,Temp) •Fluid particle adjacent to the solid surface is at rest •These particles act to retard the motion of adjoining layers • boundary layer effect Momentum balance: inertia forces, pressure gradient, viscous forces, body forces Energy balance: convective flux, diffusive flux, heat generation, energy storage FORCED CONVECTION: external flow (over flat plate) An internal flow is surrounded by solid boundaries that can restrict the development of its boundary layer, for example, a pipe flow. An external flow, on the other hand, are flows over bodies immersed in an unbounded fluid so that the flow boundary layer can grow freely in one direction. Examples include the flows over airfoils, ship hulls, turbine blades, etc.
  • 9. One of the most important concepts in understanding the external flows is the boundary layer development. For simplicity, we are going to analyze a boundary layer flow over a flat plate with no curvature and no external pressure variation. laminar turbulent transition Dye streak U U U U Hydrodynamic boundary layer Boundary layer definition Boundary layer thickness (): defined as the distance away from the surface where the local velocity reaches to 99% of the free-stream velocity, that is u(y=)=0.99U. Somewhat an easy to understand but arbitrary definition. Boundary layer is usually very thin: /x usually << 1.
  • 10. Hydrodynamic and Thermal boundary layers As we have seen earlier,the hydrodynamic boundary layer is a region of a fluid flow, near a solid surface, where the flow patterns are directly influenced by viscous drag from the surface wall. 0<u<U, 0<y< The Thermal Boundary Layer is a region of a fluid flow, near a solid surface, where the fluid temperatures are directly influenced by heating or cooling from the surface wall. 0<t<T, 0<y<t The two boundary layers may be expected to have similar characteristics but do not normally coincide. Liquid metals tend to conduct heat from the wall easily and temperature changes are observed well outside the dynamic boundary layer. Other materials tend to show velocity changes well outside the thermal layer.
  • 11. Effects of Prandtl number, Pr  T Pr >>1  >>  e.g., oils , T Pr = 1  =  e.g., air and gases have Pr ~ 1 (0.7 - 0.9) W W T T T T U u     to similar (Reynold’s analogy) T  Pr <<1  <<  e.g., liquid metals
  • 12. Boundary layer equations (laminar flow) • Simpler than general equations because boundary layer is thin  T  U W T  T  U x y • Equations for 2D, laminar, steady boundary layer flow                                              y T y y T v x T u y u y dx dU U y u v x u u y v x u   : energy of on Conservati : momentum - x of on Conservati 0 : mass of on Conservati • Note: for a flat plate, 0 hence , constant is    dx dU U
  • 13. Exact solutions: Blasius 3 1 2 1 3 1 2 1 Pr Re 678 . 0 number Nusselt Average Pr Re 339 . 0 number Nusselt Local Re Re 328 . 1 1 t coefficien drag Average , Re Re 664 . 0 t coefficien friction Skin Re 99 . 4 x kness layer thic Boundary 0 0 2 2 1 L x x L L L f D y w x x w f x u N Nu L U dx C L C y u x U U C                                      
  • 14. Heat transfer coefficient • Local heat transfer coefficient: x k x k Nu h x x x 3 1 2 1 Pr Re 339 . 0   • Average heat transfer coefficient: L k L k u N h L 3 1 2 1 Pr Re 678 . 0   • Recall:   wall from rate flow heat ,    T T A h q w w • Recall:   wall from rate flow heat ,    T T A h q w w • Film temperature, Tfilm For heated or cooled surfaces, the thermophysical properties within the boundary layer should be selected based on the average temperature of the wall and the free stream;      T T T w film 2 1
  • 15. Heat transfer coefficient U x Hydrodynamic Boundary Layer,  Convection Coefficient, h. Thermal Boundary Layer, t Laminar Region Turbulent Region Laminar and turbulent b.l.
  • 16. Turbulent boundary layer     etc. : way usual in t coefficien fer heat trans Calculate * Re 664 . 0 Re 036 . 0 Pr Pr Re 036 . 0 Pr Re 029 . 0 Re 328 . 1 Re 072 . 0 Re 1 Re 072 . 0 ) 10 5 (Re Re 059 . 0 : data al experiment on based ns correlatio use mainly will We * solve. to difficult more infinitely but ones, laminar similar to are equations b.l. Turbulent * ) 10 5 plate, flat over flow For ( Re . turbulent eventually and nal transitio becomes flow the ), Re Re ( number Reynolds of value critical a Beyond with x. increases Re * 5 . 0 8 . 0 8 . 0 8 . 0 5 . 0 8 . 0 5 2 . 0 5 3 1 3 1 3 1 x k Nu h u N Nu C C x x U xc xc L x x xc xc L L D x x f c c xc xc x x                  
  • 17.  x ( ) x 0 0.5 1 0 0.5 1 • Boundary layer growth:  x • Initial growth is fast • Growth rate d/dx  1/x, decreasing downstream.  w x ( ) x 0 0.5 0 5 10 • Wall shear stress: w  1/x • As the boundary layer grows, the wall shear stress decreases as the velocity gradient at the wall becomes less steep. Laminar Boundary Layer Development
  • 18. Determine the boundary layer thickness, the wall shear stress of a laminar water flow over a flat plate. The free stream velocity is 1 m/s, the kinematic viscosity of the water is 10-6 m2/s. The density of the water is 1,000 kg/m3. The transition Reynolds number Re=Ux/=5105. Determine the distance downstream of the leading edge when the boundary transitions to turbulent. Determine the total frictional drag produced by the laminar and turbulent portions of the plate which is 1 m long. If the free stream and plate temperatures are 100 C and 25 C, respectively, determine the heat transfer rate from the plate. 3 2 w ( ) 5 5 10 ( ). Therefore, for a 1m long plate, the boundary layer grows by 0.005(m), or 5 mm, a very thin layer. 0.332 0.0105 The wall shear stress, 0.332 ( ) Re The transition Reyn x x x x m U U U U Pa x x                 5 U olds number: Re 5 10 , 0.5( ) tr tr x x m       Example
  • 19. 2 D 0 0 f 2 The total frictional drag is equal to the integration of the wall shear stress: 0.664 F (1) 0.332 0.939( ) Re Define skin friction coefficient: C 0.664 for a 1 Re 2 tr tr tr x x w x w f x U U dx U dx N x C U                  laminar boundary layer. Example (cont..)
  • 20.   D U D   Re Perimeter Area 4  h D D k N h k D h N A U C u u normal D     ; ; force Drag 2 2 1  Forced convection over exterior bodies • Much more complicated. •Some boundary layer may exist, but it is likely to be curved and U will not be constant. • Boundary layer may also separate from the wall. • Correlations based on experimental data can be used for flow and heat transfer calculations • Reynolds number should now be based on a characteristic diameter. • If body is not circular, the equivalent diameter Dh is used
  • 22. • Thermal conditions  Laminar or turbulent  entrance flow and fully developed thermal condition For laminar flows the thermal entrance length is a function of the Reynolds number and the Prandtl number: xfd,t/D  0.05ReDPr, where the Prandtl number is defined as Pr = / and  is the thermal diffusitivity. For turbulent flow, xfd,t  10D. FORCED CONVECTION: Internal flow Thermal entrance region, xfd,t e.g. pipe flow
  • 23. Thermal Conditions • For a fully developed pipe flow, the convection coefficient does not vary along the pipe length. (provided all thermal and flow properties are constant) x h(x) xfd,t constant • Newton’s law of cooling: q”S = hA(TS-Tm) Question: since the temperature inside a pipe flow does not remain constant, we should use a mean temperature Tm , which is defines as follows:
  • 24. Energy Transfer Consider the total thermal energy carried by the fluid as (mass flux) (internal energy) v A VC TdA    Now imagine this same amount of energy is carried by a body of fluid with the same mass flow rate but at a uniform mean temperature Tm. Therefore Tm can be defined as v A m v VC TdA T mC    & Consider Tm as the reference temperature of the fluid so that the total heat transfer between the pipe and the fluid is governed by the Newton’s cooling law as: qs”=h(Ts-Tm), where h is the local convection coefficient, and Ts is the local surface temperature. Note: usually Tm is not a constant and it varies along the pipe depending on the condition of the heat transfer.
  • 25. Energy Balance Example: We would like to design a solar water heater that can heat up the water temperature from 20° C to 50° C at a water flow rate of 0.15 kg/s. The water is flowing through a 0.05 m diameter pipe and is receiving a net solar radiation flux of 200 W/m of pipe length. Determine the total pipe length required to achieve the goal.
  • 26. Example (cont.) Questions: (1) How to determine the heat transfer coefficient, h? There are a total of six parameters involved in this problem: h, V, D, , kf, cp. The temperature dependence of properties is implicit and is only through the variation of thermal properties. Density  is included in the kinematic viscosity, . According to the Buckingham theorem, it is possible for us to reduce the number of parameters by three. Therefore, the convection coefficient relationship can be reduced to a function of only three variables: Nu=hD/kf, Nusselt number, Re=VD/, Reynolds number, and Pr=, Prandtl number. This conclusion is consistent with empirical observation, that is Nu=f(Re, Pr). If we can determine the Reynolds and the Prandtl numbers, we can find the Nusselt number and hence, the heat transfer coefficient, h.
  • 27. Convection Correlations ln(Nu) ln(Re) slope m Fixed Pr ln(Nu) ln(Pr) slope n Fixed Re D s D s Laminar, fully developed circular pipe flow: Nu 4.36, when q " constant, (page 543, ch. 10-6, ITHT) Nu 3.66, when T constant, (page 543, ch. 10-6, ITHT) Note: t f hD k       m he therma conductivity should be calculated at T . Fully developed, turbulent pipe flow: Nu f(Re, Pr), Nu can be related to Re & Pr experimentally, as shown.  
  • 28. Empirical Correlations 4/5 D s m s m D Dittus-Boelter equation: Nu 0.023Re Pr , (eq 10-76, p 546, ITHT) where n 0.4 for heating (T T ), n 0.3 for cooling (T T ). The range of validity: 0.7 Pr 160, Re 10,000, / 10. n L D          Note: This equation can be used only for moderate temperature difference with all the properties evaluated at Tm. Other more accurate correlation equations can be found in other references. Caution: The ranges of application for these correlations can be quite different. D 1/ 2 2 / 3 D ( / 8)(Re 1000) Pr Nu (from other reference) 1 12.7( / 8) (Pr 1) It is valid for 0.5 Pr 2000 and 3000 Re 5 10 D f f          6 m . All properties are calculated at T .
  • 29. Example (cont.) In our example, we need to first calculate the Reynolds number: water at 35°C, Cp=4.18(kJ/kg.K), =7x10-4 (N.s/m2), kf=0.626 (W/m.K), Pr=4.8. 4 D 1/ 2 2 / 3 4 4(0.15) Re 5460 (0.05)(7 10 ) Re 4000, it is turbulent pipe flow. Use the Gnielinski correlation, from the Moody chart, f 0.036, Pr 4.8 ( / 8)(Re 1000) Pr (0. Nu 1 12.7( / 8) (Pr 1) D m D VD m A D f f                      & & 1/ 2 2 / 3 2 036 / 8)(5460 1000)(4.8) 37.4 1 12.7(0.036 / 8) (4.8 1) 0.626 (37.4) 469( / . ) 0.05 f D k h Nu W m K D       
  • 30. Energy Balance Question (2): How can we determine the required pipe length? Use energy balance concept: (energy storage) = (energy in) minus (energy out). energy in = energy received during a steady state operation (assume no loss) '( ) ( ), ( ) (0.15)(4180)(50 20) 94( ) ' 200 P out in P in out q L mC T T mC T T L m q        & & q’=q/L Tin Tout
  • 31. Temperature Distribution s s s From local Newton's cooling law: q hA(T ) ' ( )(T ( ) ( )) ' 200 ( ) ( ) 20 0.319 22.7 0.319 ( ) (0.05)(469) At the end of the pipe, T ( 94) 52.7( ) m m s m T q x h D x x T x q T x T x x x C Dh x C                      Question (3): Can we determine the water temperature variation along the pipe? Recognize the fact that the energy balance equation is valid for any pipe length x: '( ) ( ( ) ) ' 200 ( ) 20 20 0.319 (0.15)(4180) It is a linear distribution along the pipe P in in P q x mC T x T q T x T x x x mC         & & Question (4): How about the surface temperature distribution?
  • 32. Temperature variation for constant heat flux Note: These distributions are valid only in the fully developed region. In the entrance region, the convection condition should be different. In general, the entrance length x/D10 for a turbulent pipe flow and is usually negligible as compared to the total pipe length. T m x ( ) T s x ( ) x 0 20 40 60 80 100 20 30 40 50 60 Constant temperature difference due to the constant heat flux.
  • 33. Internal Flow Convection -constant surface temperature case Another commonly encountered internal convection condition is when the surface temperature of the pipe is a constant. The temperature distribution in this case is drastically different from that of a constant heat flux case. Consider the following pipe flow configuration: Tm,i Tm,o Constant Ts Tm Tm+dTm qs=hA(Ts-Tm) p p s p s Energy change mC [( ) ] mC Energy in hA(T ) Energy change energy in mC hA(T ) m m m m m m m T dT T dT T dT T          & & & dx
  • 34. Temperature distribution p s s m m mC hA(T ), Note: q hA(T ) is valid locally only, since T is not a constant , where A Pdx, and P is the perimeter of the pipe (T ) Integrate from the inlet to a diatance x downstr m m m m s P dT T T dT hA T mC         & & , , ( ) 0 0 m ( ) m 0 eam: (T ) ln(T ) | , where L is the total pipe length and h is the averaged convection coefficient of the pipe between 0 & x. 1 , or m m i m m i T x x x m T s P P T x s T P x dT hP P dx hdx T mC mC Ph T x mC h hdx hdx x              & & & 0 x hx  
  • 35. Temperature distribution , ( ) exp( ), for constant surface temperature m s m i s P T x T Ph x T T mC     & T x ( ) x Tm(x) Constant surface temperature Ts The difference between the averaged fluid temperature and the surface temperature decreases exponentially further downstream along the pipe.
  • 36. Log-Mean Temperature Difference , , , , , , For the entire pipe: ( ) exp( ) or ln( ) ( ) (( ) ( )) ( ) ln( ) where is cal ln( ) m o s o s P o m i s i P i P m o m i P s m i s m o o i P i o s s lm o i o i lm o i T T T hA h PL mC T T T T mC T q mC T T mC T T T T T T mC T T hA hA T T T T T T T T                                     & & & & & led the log mean temperature difference. This relation is valid for the entire pipe.
  • 37. Free Convection A free convection flow field is a self-sustained flow driven by the presence of a temperature gradient. (As opposed to a forced convection flow where external means are used to provide the flow.) As a result of the temperature difference, the density field is not uniform also. Buoyancy will induce a flow current due to the gravitational field and the variation in the density field. In general, a free convection heat transfer is usually much smaller compared to a forced convection heat transfer. It is therefore important only when there is no external flow exists. hot cold    T   Flow is unstable and a circulatory pattern will be induced.
  • 38. Basic Definitions Buoyancy effect: Warm,  Surrounding fluid, cold,  Hot plate Net force=(- gV The density difference is due to the temperature difference and it can be characterized by ther volumetric thermal expansion coefficient, : 1 1 1 ( )P T T T T T                           
  • 39. Grashof Number and Rayleigh Number Define Grashof number, Gr, as the ratio between the buoyancy force and the viscous force: 3 3 2 2 ( ) S g T T L g TL Gr          • Grashof number replaces the Reynolds number in the convection correlation equation. In free convection, buoyancy driven flow sometimes dominates the flow inertia, therefore, the Nusselt number is a function of the Grashof number and the Prandtle number alone. Nu=f(Gr, Pr). Reynolds number will be important if there is an external flow. (combined forced and free convection. • In many instances, it is better to combine the Grashof number and the Prandtle number to define a new parameter, the Rayleigh number, Ra=GrPr. The most important use of the Rayleigh number is to characterize the laminar to turbulence transition of a free convection boundary layer flow. For example, when Ra>109, the vertical free convection boundary layer flow over a flat plate becomes turbulent.
  • 40. Example Determine the rate of heat loss from a heated pipe as a result of natural (free) convection. Ts=100C T=0°C D=0.1 m Film temperature( Tf): averaged boundary layer temperature Tf=1/2(Ts+T )=50 C. kf=0.03 W/m.K, Pr=0.7, =210-5 m2/s, =1/Tf=1/(273+50)=0.0031(1/K) 3 3 6 2 5 2 1/ 6 2 9 /16 8 / 27 2 ( ) (9.8)(0.0031)(100 0)(0.1) Pr (0.7) 7.6 10 . (2 10 ) 0.387 {0.6 } 26.0 (equation 11.15 in Table 11.1) [1 (0.559 / Pr) ] 0.03 (26) 7.8( / ) 0.1 ( ) (7.8)( )( S D f D S g T T L Ra Ra Nu k h Nu W m K D q hA T T                        0.1)(1)(100 0) 244.9( ) Can be significant if the pipe are long. W  