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CUMT
HEAT TRANSFER LECTURE
Chapter 3 Steady-State Conduction Multiple Dimensions
CHAPER 3
Steady-State Conduction
Multiple Dimensions
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In Chapter 2 steady-state heat transfer was calculated
in systems in which the temperature gradient and area
could be expressed in terms of one space coordinate. We
now wish to analyze the more general case of two-
dimensional heat flow. For steady state with no heat
generation, the Laplace equation applies.
2 2
2 2
0
T T
x y
∂ ∂
+ =
∂ ∂
The solution to this equation may be obtained by analytical,
numerical, or graphical techniques.
(3-1)
3-1 Introduction
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The objective of any heat-transfer analysis is usually to
predict heat flow or the temperature that results from a
certain heat flow. The solution to Equation (3-1) will give
the temperature in a two-dimensional body as a function
of the two independent space coordinates x and y. Then
the heat flow in the x and y directions may be calculated
from the Fourier equations
3-1 Introduction
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3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
Analytical solutions of temperature distribution can be obtained
for some simple geometry and boundary conditions. The
separation method is an important one to apply.
Consider a rectangular plate.
Three sides are maintained at
temperature T1, and the upper
side has some temperature
distribution impressed on it.
The distribution can be a constant
temperature or something more
complex, such as a sine-wave.
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Consider a sine-wave distribution on the upper edge, the
boundary conditions are:
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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Substitute:
We obtain two ordinary differential equations in terms of
this constant,
2 2
2 2
1 1T T
X x Y y
∂ ∂
− =
∂ ∂
2
2
2
0
X
X
x
λ
∂
+ =
∂
2
2
2
0
Y
Y
y
λ
∂
− =
∂
where λ2
is called the separation constant.
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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We write down all possible solutions and then see which
one fits the problem under consideration.
( ) ( )
1 2
2
3 4
1 2 3 4
0:For X C C x
Y C C y
T C C x C C y
λ = = +
= +
= + +
This function cannot fit the sine-function boundary
condition, so that the solution may be excluded.2
0λ =
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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( )( )
2
5 6
7 8
5 6 7 8
0:
cos sin
cos sin
x x
x x
For X C e C e
Y C y C y
T C e C e C y C y
λ λ
λ λ
λ
λ λ
λ λ
−
−
< = +
= +
= + +
This function cannot fit the sine-function boundary condition,
so that the solution may be excluded.2
0λ <
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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( ) ( )
2
9 10
11 12
9 10 11 12
0: cos sin
cos sin
y y
y y
For X C x C x
C e C e
T C x C x C e C e
Y λ λ
λ λ
λ λ λ
λ λ
−
−
> = +
= +
= + +
It is possible to satisfy the sine-function boundary condition;
so we shall attempt to satisfy the other condition.
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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Let
The equation becomes:
Apply the method of variable separation, let
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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And the boundary conditions become:
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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Applying these conditions,we have:
( ) ( )9 10 11 120 cos sinC x C x C Cλ λ= + +
( )9 11 120 y y
C C e C eλ λ−
= +
( ) ( )9 10 11 120 cos sin y y
C W C W C e C eλ λ
λ λ −
= + +
( ) ( )9 10 11 12sin cos sin H H
m
x
T C x C x C e C e
W
λ λπ
λ λ − 
= + + ÷
 
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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accordingly,
and from (c),
This requires that
11 12C C= −
9 0C =
( )10 120 sin y y
C C W e eλ λ
λ −
= −
sin 0Wλ =
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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then
which requires that Cn =0 for n >1.
We get
n
W
π
λ =
1
1
sin sinhn
n
n x n y
T T C
W W
π π
θ
∞
=
= − = ∑
1
sin sin sinhm n
n
x n x n H
T C
W W W
π π π∞
=
= ∑
The final boundary condition may now be applied:
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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The final solution is therefore
( )
( ) 1
sinh /
sin
sinh /
m
y W x
T T T
H W W
π π
π
= +
The temperature field for this problem is shown. Note that the heat-
flow lines are perpendicular to the isotherms.
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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Another set of boundary conditions
0 at 0
0 at 0
0 at
sin atm
y
x
x W
x
T y H
W
θ
θ
θ
π
θ
= =
= =
= =
 
= = ÷
 
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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Using the first three boundary conditions, we obtain the
solution in the form of Equation:
1
1
sin sinhn
n
n x n y
T T C
W W
π π∞
=
− = ∑
Applying the fourth boundary condition gives
2 1
1
sin sinhn
n
n x n H
T T C
W W
π π∞
=
− = ∑
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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This series is
then
( )
( )
1
2 1 2 1
1
1 12
sin
n
n
n x
T T T T
n W
π
π
+
∞
=
− +
− = − ∑
( )
( )
( )
1
2 1
1 12 1
sinh /
n
nC T T
n H W nπ π
+
− +
= −
The final solution is expressed as
( ) ( )
( )
1
1
12 1
1 1 sinh /2
sin
sinh /
n
n
n y WT T n x
T T n W n H W
ππ
π π
+
∞
=
− +−
=
−
∑
3-2 Mathematical Analysis of Two-Dimensional Heat Conduction
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0 at 0
0 at 0
0 at
sin atm
y
x
x W
x
T y H
W
θ
θ
θ
π
θ
= =
= =
= =
 
= = ÷
 
Transform the boundary condition:
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3-3 Graphical Analysis
neglect
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3-4 The Conduction Shape Factor
Consider a general one dimensional heat conduct-
ion problem, from Fourier’s Law:
let
then
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Note that the inverse hyperbolic cosine can be calculated from
( )1 2
cosh ln 1x x x−
= ± −
For a three-dimensional wall, as in a furnace, separate shape
factors are used to calculate the heat flow through the edge and
corner sections, with the dimensions shown in Figure 3-4. when all
the interior dimensions are greater than one fifth of the thickness,
wall
A
S
L
= edge 0.54S D= corner 0.15S L=
where A = area of wall, L = wall thickness, D = length of edge
3-4 The Conduction Shape Factor
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3-4 The Conduction Shape Factor
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3-4 The Conduction Shape Factor
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3-4 The Conduction Shape Factor
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3-4 The Conduction Shape Factor
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HEAT TRANSFER LECTURE
3-4 The Conduction Shape Factor
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3-4 The Conduction Shape Factor
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3-4 The Conduction Shape Factor
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Example 3-1
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Example 3-2
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Example 3-3
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Example 3-4
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3-5 Numerical Method of Analysis
The most fruitful approach to the heat conduction is one
based on finite-difference techniques, the basic principles
of which we shall outline in this section.
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1 、 Discretization of the solving
3-5 Numerical Method of Analysis
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2 、 Discrete equation
Taylor series expansion
2 2 3 3
1, , 2 3
, , ,
( ) ( )
...
2 6
m n m n
m n m n m n
T x T x T
T T x
x x x
+
∂ ∆ ∂ ∆ ∂
= + ∆ + + +
∂ ∂ ∂
2 2 3 3
1, , 2 3
, , ,
( ) ( )
...
2 6
m n m n
m n m n m n
T x T x T
T T x
x x x
−
∂ ∆ ∂ ∆ ∂
= − ∆ + − +
∂ ∂ ∂
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2
2
1, 1, , 2
,
2 ( ) ...m n m n m n
m n
T
T T T x
x
+ −
∂
+ = + ∆ +
∂
2
1, , 1, 2
2 2
,
2
( )
( )
m n m n m n
m n
T T TT
o x
x x
+ −− +∂
= + ∆
∂ ∆
2
2
1,,1,
,
2
2
)(
)(
2
yo
y
TTT
y
T nmnmnm
nm
∆+
∆
+−
=
∂
∂ −+
2 、 Discrete equation
Differential equation for two-dimensional steady-state heat flow
2 2
2 2
0
T T q
x y k
•
∂ ∂
+ + =
∂ ∂
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2 、 Discrete equation
Discrete equation at nodal point (m,n)
1, , 1, , 1 , , 1
2 2
2 2
0m n m n m n m n m n m nT T T T T T q
x y k
•
+ − + −− + − +
+ + =
∆ ∆
1, , 1, , 1 , , 1
2 2
2 2
0m n m n m n m n m n m nT T T T T T
x y
+ − + −− + − +
+ =
∆ ∆
no heat generation
Δx= Δy
1, 1, , 1 , 1 ,4 0m n m n m n m n m nT T T T T+ − + −+ + + − =
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2 、 Discrete equation
Thermal balance
(1) Interior points
steady-state & no heat
generation
1, 1, , 1 , 1 0m n m n m n m nq q q q− + + −+ + + =
1, ,
1,
d
d
m n m n
m n
T TT
q kA k y
x x
−
−
−
= − = ∆
∆
x
TT
ykq nmnm
nm
∆
−
∆= +
+
,,1
,1
, 1 ,
, 1
m n m n
m n
T T
q k x
y
+
+
−
= ∆
∆
, 1 ,
, 1
m n m n
m n
T T
q k x
y
−
−
−
= ∆
∆
1, , 1, , , 1 , , 1 ,
0m n m n m n m n m n m n m n m nT T T T T T T T
k y k y k x k x
x x y y
− + + −− − − −
∆ + ∆ + ∆ + ∆ =
∆ ∆ ∆ ∆
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Thermal balance
Δx= Δy
1, 1, , 1 , 1 ,4 0m n m n m n m n m nT T T T T+ − + −+ + + − =
genq q V q x y
• •
= × = ×∆ ∆
2
1, 1, , 1 , 1 ,4 ( ) 0m n m n m n m n m n
q
T T T T T x
k
•
+ − + −+ + + − + ∆ =
steady-state with heat generation
(1) Interior points
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2 、 Discrete equation
Thermal balance
(2) boundary
points
1, ,
1,
m n m n
m n
T T
q k y
x
−
−
−
= ∆
∆
, 1 ,
, 1
2
m n m n
m n
T Tx
q k
y
+
+
−∆
=
∆
, 1 ,
, 1
2
m n m n
m n
T Tx
q k
y
−
−
−∆
=
∆
,( )w m nq h y T T∞= ×∆ × −
1, , , 1 , , 1 ,
,( )
2 2
m n m n m n m n m n m n
m n
T T T T T Tx x
k y k k h y T T
x y y
− + −
∞
− − −∆ ∆
∆ + + = ×∆ × −
∆ ∆ ∆
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Thermal balance
Δx= Δy
(2) boundary
points
, 1, , 1 , 1
1
( 2) ( )
2
m n m n m n m n
h x h x
T T T T T
k k
− + − ∞
×∆ ×∆
+ = + + +
1, , , 1 ,
, ,( ) ( )
2 2 2 2
m n m n m n m n
m n m n
T T T Ty x x y
k k h T T h T T
x y
− −
∞ ∞
− −∆ ∆ ∆ ∆
+ = × × − + × × −
∆ ∆
, 1, , 1
1
( 1) ( )
2
m n m n m n
h x h x
T T T T
k k
− − ∞
×∆ ×∆
+ = + +
Δx= Δy
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Thermal balance
(2) boundary
points
Δx= Δy
1, , 1, , , 1 ,
, 1 ,
, ,
2 2
( ) ( )
2 2
m n m n m n m n m n m n
m n m n
m n m n
T T T T T Ty x
k y k k
x x y
T T x y
k x h T T h T T
y
− + −
+
∞ ∞
− − −∆ ∆
∆ + +
∆ ∆ ∆
− ∆ ∆
+ ∆ = × × − + × × −
∆
, 1, 1, , 1 , 1
1
( 3) (2 2 )
2
m n m n m n m n m n
h x h x
T T T T T T
k k
− + − + ∞
×∆ ×∆
+ = + + + +
3-5 Numerical Method of Analysis
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3 、 Algebraic equation
11 1 12 2 1 1
21 1 22 2 2 2
1 1 2 2
......
......
............................................
......
n n
n n
n n nn n n
a T a T a T C
a T a T a T C
a T a T a T C
+ + + =
+ + + =
+ + + =
3-5 Numerical Method of Analysis
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Matrix notation
[ ]
11 12 1
21 22 2
1 2
...
...
... ... ... ...
...
n
n
n n nn
a a a
a a a
A
a a a
 
 
 =
 
 
 
[ ]
1
2
...
n
T
T
T
T
 
 
 =
 
 
 
[ ]
1
2
...
n
C
C
C
C
 
 
 =
 
 
 
[ ][ ] [ ]A T C=
Iteration
Simple Iteration & Gauss-Seidel Iteration
3-5 Numerical Method of Analysis
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Example 3-5
Consider the square shown in the figure. The left face is
maintained at 100 and the top face at 500 , while the℃ ℃
other two faces are exposed to a environment at 100 .℃
h=10W/m2· and k=10W/m· . The block is 1 m square.℃ ℃
Compute the temperature of the various nodes as indicated
in the figure and heat flows at the boundaries.
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[Solution]
The equations for nodes 1,2,4,5 are given by
2 4 1
1 3 5 2
1 5 7 4
2 4 6 8 5
500 100 4 0
500 4 0
100 4 0
4 0
T T T
T T T T
T T T T
T T T T T
+ + + − =
+ + + − =
+ + + − =
+ + + − =
Example 3-5
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[Solution]
Equations for nodes 3,6,7,8 are
The equation for node 9 is
9 6 8
1 1 1
1 ( ) 100
3 2 3
T T T= + + ×
3 2 6
6 3 5 9
7 4 8
8 7 5 9
1 1 1
2 (500 2 ) 100
3 2 3
1 1 1
2 ( 2 ) 100
3 2 3
1 1 1
2 (100 2 ) 100
3 2 3
1 1 1
2 ( 2 ) 100
3 2 3
T T T
T T T T
T T T
T T T T
= + + + ×
= + + + ×
= + + + ×
= + + + ×
Example 3-5
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3 2 6
1 1 1
2 (500 2 ) 100
3 2 3
T T T= + + + ×
6 3 5 9
1 1 1
2 ( 2 ) 100
3 2 3
T T T T= + + + ×
7 4 8
1 1 1
2 (100 2 ) 100
3 2 3
T T T= + + + ×
8 7 5 9
1 1 1
2 ( 2 ) 100
3 2 3
T T T T= + + + ×
The equation for node 9 is
9 6 8
1 1 1
1 ( ) 100
3 2 3
T T T= + + ×
Example 3-5
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We thus have nine equations and nine unknown nodal temperatures. So
the answer is
For the 500 face, the heat flow into the face is℃
31 2 (500 )(500 ) (500 )
10 [ ]
2
... 4843.4 /
in
TT TT x
q k A x x
y y y y
W m
−− −∆ ∆
= × × = × ∆ × + ∆ × + ×
∆ ∆ ∆ ∆
= =
∑
The heat flow out of the 100 face is℃
71 4
1
( 100)( 100) ( 100)
10 [ ]
2
... 3019 /
TT TT y
q k A y y
x x x x
W m
−− −∆ ∆
= × × = × ∆ × + ∆ × + ×
∆ ∆ ∆ ∆
= =
∑
Example 3-5
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2
3 6 9
( )
10 [ ( 100) ( 100) ( 100)]
2
... 1214.6 /
q h A T T
y
y T y T T
W m
∞= × × −
∆
= × ∆ × − + ∆ × − + × −
= =
∑
The heat flow out the right face is
3
7 8 9
( )
10 [ ( 100) ( 100) ( 100)]
2
... 600.7 /
q h A T T
y
y T y T T
W m
∞= × × −
∆
= × ∆ × − + ∆ × − + × −
= =
∑
1 2 3 ... 4834.3 /outq q q q W m= + + = = 4843.4 /inq W m=<
The heat flow out the bottom face is
The total heat flow out is
Example 3-5
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3-6 Numerical Formulation in Terms of Resistance Elements
Thermal balance — the net heat input to node i must be zero
0j i
i
j i j
T T
q
R
−
+ =∑
qi — heat generation, radiation, etc.
i — solving node
j — adjoining node
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1, , 1, , , 1 , , 1 ,
0m n m n m n m n m n m n m n m n
m m n n
T T T T T T T T
R R R R
− + − +
− + − +
− − − −
+ + + =
x
R
kA
∆
=
1
m m n nR R R R
k
− + − += = = =
1, 1, , 1 , 1 ,4 0m n m n m n m n m nT T T T T+ − + −+ + + − =
0
j i
i
j i j
T T
q
R
−
+ =∑
so
3-6 Numerical Formulation in Terms of Resistance Elements
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3-7 Gauss-Seidel Iteration
0
j i
i
j i j
T T
q
R
−
+ =∑
( / )
(1/ )
i j i j
j
i
i j
j
q T R
T
R
+
=
∑
∑
Steps
Assumed initial set of values for Ti ;
Calculated Ti according to the equation ;
—using the most recent values of the Ti
Repeated the process until converged.
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Convergence Criterion
( 1) ( )i n i nT T δ+ − ≤
( 1) ( )
( )
i n i n
i n
T T
T
ε+ −
≤
3 6
10 10ε − −
= ~
Biot number
h x
Bi
k
∆
=
3-7 Gauss-Seidel Iteration
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Example 3-6
1x
R
k y k
∆
= =
∆
Apply the Gauss-Seidel technique to obtain the nodal temperature
for the four nodes in the figure.
[Solution]
All the connection resistance between
the nodes are equal, that is
Therefore, we have
( / ) ( ) ( )
(1/ ) ( ) ( )
i j i j i j j j j
j j j
i
i j j j
j j j
q T R q k T k T
T
R k k
+ +
= = =
∑ ∑ ∑
∑ ∑ ∑admission.edhole.com
CUMT
HEAT TRANSFER LECTURE
Example 3-6
Because each node has four resistance connected to it and k is assumed
constant, so
4j
j
k k=∑
1
4
i j
j
T T∴ = ∑
admission.edhole.com
CUMT
HEAT TRANSFER LECTURE
3-8 Accuracy Consideration
Truncation Error — Influenced by difference scheme
Discrete Error — Influenced by truncation error & x△
Round-off Error — Influenced by x△
admission.edhole.com
CUMT
HEAT TRANSFER LECTURE
Summary
(1)Numerical Method
Solving Zone
Nodal equations
thermal balance method — Interior & boundary point
Algebraic equations
Gauss-Seidel iteration
( / )
(1/ )
i j i j
j
i
i j
j
q T R
T
R
+
=
∑
∑
admission.edhole.com
CUMT
HEAT TRANSFER LECTURE
Summary
(2)Resistance Forms
0j i
i
j i j
T T
q
R
−
+ =∑
(3)Convergence
Convergence Criterion
( 1) ( )i n i nT T δ+ − ≤
( 1) ( )i n i nT T δ+ − ≤
admission.edhole.com
CUMT
HEAT TRANSFER LECTURE
Summary
(4)Accuracy
Truncation Error
Discrete Error
Round-off Error
Important conceptions
Nodal equations — thermal balance method
Calculated temperature & heat flow
Convergence criterion
How to improve accuracy
admission.edhole.com
CUMT
HEAT TRANSFER LECTURE
Exercises
Exercises: 3-16, 3-24, 3-48, 3-59
admission.edhole.com

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Admission in india 2014

  • 1. Company LOGO Admission in India 2015 By: admission.edhole.com
  • 2. CUMT HEAT TRANSFER LECTURE Chapter 3 Steady-State Conduction Multiple Dimensions CHAPER 3 Steady-State Conduction Multiple Dimensions admission.edhole.com
  • 3. CUMT HEAT TRANSFER LECTURE In Chapter 2 steady-state heat transfer was calculated in systems in which the temperature gradient and area could be expressed in terms of one space coordinate. We now wish to analyze the more general case of two- dimensional heat flow. For steady state with no heat generation, the Laplace equation applies. 2 2 2 2 0 T T x y ∂ ∂ + = ∂ ∂ The solution to this equation may be obtained by analytical, numerical, or graphical techniques. (3-1) 3-1 Introduction admission.edhole.com
  • 4. CUMT HEAT TRANSFER LECTURE The objective of any heat-transfer analysis is usually to predict heat flow or the temperature that results from a certain heat flow. The solution to Equation (3-1) will give the temperature in a two-dimensional body as a function of the two independent space coordinates x and y. Then the heat flow in the x and y directions may be calculated from the Fourier equations 3-1 Introduction admission.edhole.com
  • 5. CUMT HEAT TRANSFER LECTURE 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction Analytical solutions of temperature distribution can be obtained for some simple geometry and boundary conditions. The separation method is an important one to apply. Consider a rectangular plate. Three sides are maintained at temperature T1, and the upper side has some temperature distribution impressed on it. The distribution can be a constant temperature or something more complex, such as a sine-wave. admission.edhole.com
  • 6. CUMT HEAT TRANSFER LECTURE Consider a sine-wave distribution on the upper edge, the boundary conditions are: 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 7. CUMT HEAT TRANSFER LECTURE Substitute: We obtain two ordinary differential equations in terms of this constant, 2 2 2 2 1 1T T X x Y y ∂ ∂ − = ∂ ∂ 2 2 2 0 X X x λ ∂ + = ∂ 2 2 2 0 Y Y y λ ∂ − = ∂ where λ2 is called the separation constant. 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 8. CUMT HEAT TRANSFER LECTURE We write down all possible solutions and then see which one fits the problem under consideration. ( ) ( ) 1 2 2 3 4 1 2 3 4 0:For X C C x Y C C y T C C x C C y λ = = + = + = + + This function cannot fit the sine-function boundary condition, so that the solution may be excluded.2 0λ = 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 9. CUMT HEAT TRANSFER LECTURE ( )( ) 2 5 6 7 8 5 6 7 8 0: cos sin cos sin x x x x For X C e C e Y C y C y T C e C e C y C y λ λ λ λ λ λ λ λ λ − − < = + = + = + + This function cannot fit the sine-function boundary condition, so that the solution may be excluded.2 0λ < 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 10. CUMT HEAT TRANSFER LECTURE ( ) ( ) 2 9 10 11 12 9 10 11 12 0: cos sin cos sin y y y y For X C x C x C e C e T C x C x C e C e Y λ λ λ λ λ λ λ λ λ − − > = + = + = + + It is possible to satisfy the sine-function boundary condition; so we shall attempt to satisfy the other condition. 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 11. CUMT HEAT TRANSFER LECTURE Let The equation becomes: Apply the method of variable separation, let 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 12. CUMT HEAT TRANSFER LECTURE And the boundary conditions become: 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 13. CUMT HEAT TRANSFER LECTURE Applying these conditions,we have: ( ) ( )9 10 11 120 cos sinC x C x C Cλ λ= + + ( )9 11 120 y y C C e C eλ λ− = + ( ) ( )9 10 11 120 cos sin y y C W C W C e C eλ λ λ λ − = + + ( ) ( )9 10 11 12sin cos sin H H m x T C x C x C e C e W λ λπ λ λ −  = + + ÷   3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 14. CUMT HEAT TRANSFER LECTURE accordingly, and from (c), This requires that 11 12C C= − 9 0C = ( )10 120 sin y y C C W e eλ λ λ − = − sin 0Wλ = 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 15. CUMT HEAT TRANSFER LECTURE then which requires that Cn =0 for n >1. We get n W π λ = 1 1 sin sinhn n n x n y T T C W W π π θ ∞ = = − = ∑ 1 sin sin sinhm n n x n x n H T C W W W π π π∞ = = ∑ The final boundary condition may now be applied: 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 16. CUMT HEAT TRANSFER LECTURE The final solution is therefore ( ) ( ) 1 sinh / sin sinh / m y W x T T T H W W π π π = + The temperature field for this problem is shown. Note that the heat- flow lines are perpendicular to the isotherms. 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 17. CUMT HEAT TRANSFER LECTURE Another set of boundary conditions 0 at 0 0 at 0 0 at sin atm y x x W x T y H W θ θ θ π θ = = = = = =   = = ÷   3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 18. CUMT HEAT TRANSFER LECTURE Using the first three boundary conditions, we obtain the solution in the form of Equation: 1 1 sin sinhn n n x n y T T C W W π π∞ = − = ∑ Applying the fourth boundary condition gives 2 1 1 sin sinhn n n x n H T T C W W π π∞ = − = ∑ 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 19. CUMT HEAT TRANSFER LECTURE This series is then ( ) ( ) 1 2 1 2 1 1 1 12 sin n n n x T T T T n W π π + ∞ = − + − = − ∑ ( ) ( ) ( ) 1 2 1 1 12 1 sinh / n nC T T n H W nπ π + − + = − The final solution is expressed as ( ) ( ) ( ) 1 1 12 1 1 1 sinh /2 sin sinh / n n n y WT T n x T T n W n H W ππ π π + ∞ = − +− = − ∑ 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 20. CUMT HEAT TRANSFER LECTURE 0 at 0 0 at 0 0 at sin atm y x x W x T y H W θ θ θ π θ = = = = = =   = = ÷   Transform the boundary condition: 3-2 Mathematical Analysis of Two-Dimensional Heat Conduction admission.edhole.com
  • 21. CUMT HEAT TRANSFER LECTURE 3-3 Graphical Analysis neglect admission.edhole.com
  • 22. CUMT HEAT TRANSFER LECTURE 3-4 The Conduction Shape Factor Consider a general one dimensional heat conduct- ion problem, from Fourier’s Law: let then where : S is called shape factor.admission.edhole.com
  • 23. CUMT HEAT TRANSFER LECTURE Note that the inverse hyperbolic cosine can be calculated from ( )1 2 cosh ln 1x x x− = ± − For a three-dimensional wall, as in a furnace, separate shape factors are used to calculate the heat flow through the edge and corner sections, with the dimensions shown in Figure 3-4. when all the interior dimensions are greater than one fifth of the thickness, wall A S L = edge 0.54S D= corner 0.15S L= where A = area of wall, L = wall thickness, D = length of edge 3-4 The Conduction Shape Factor admission.edhole.com
  • 24. CUMT HEAT TRANSFER LECTURE 3-4 The Conduction Shape Factor admission.edhole.com
  • 25. CUMT HEAT TRANSFER LECTURE 3-4 The Conduction Shape Factor admission.edhole.com
  • 26. CUMT HEAT TRANSFER LECTURE 3-4 The Conduction Shape Factor admission.edhole.com
  • 27. CUMT HEAT TRANSFER LECTURE 3-4 The Conduction Shape Factor admission.edhole.com
  • 28. CUMT HEAT TRANSFER LECTURE 3-4 The Conduction Shape Factor admission.edhole.com
  • 29. CUMT HEAT TRANSFER LECTURE 3-4 The Conduction Shape Factor admission.edhole.com
  • 30. CUMT HEAT TRANSFER LECTURE 3-4 The Conduction Shape Factor admission.edhole.com
  • 31. CUMT HEAT TRANSFER LECTURE Example 3-1 admission.edhole.com
  • 32. CUMT HEAT TRANSFER LECTURE Example 3-2 admission.edhole.com
  • 33. CUMT HEAT TRANSFER LECTURE Example 3-3 admission.edhole.com
  • 34. CUMT HEAT TRANSFER LECTURE Example 3-4 admission.edhole.com
  • 35. CUMT HEAT TRANSFER LECTURE 3-5 Numerical Method of Analysis The most fruitful approach to the heat conduction is one based on finite-difference techniques, the basic principles of which we shall outline in this section. admission.edhole.com
  • 36. CUMT HEAT TRANSFER LECTURE 1 、 Discretization of the solving 3-5 Numerical Method of Analysis admission.edhole.com
  • 37. CUMT HEAT TRANSFER LECTURE 2 、 Discrete equation Taylor series expansion 2 2 3 3 1, , 2 3 , , , ( ) ( ) ... 2 6 m n m n m n m n m n T x T x T T T x x x x + ∂ ∆ ∂ ∆ ∂ = + ∆ + + + ∂ ∂ ∂ 2 2 3 3 1, , 2 3 , , , ( ) ( ) ... 2 6 m n m n m n m n m n T x T x T T T x x x x − ∂ ∆ ∂ ∆ ∂ = − ∆ + − + ∂ ∂ ∂ 3-5 Numerical Method of Analysis admission.edhole.com
  • 38. CUMT HEAT TRANSFER LECTURE 2 2 1, 1, , 2 , 2 ( ) ...m n m n m n m n T T T T x x + − ∂ + = + ∆ + ∂ 2 1, , 1, 2 2 2 , 2 ( ) ( ) m n m n m n m n T T TT o x x x + −− +∂ = + ∆ ∂ ∆ 2 2 1,,1, , 2 2 )( )( 2 yo y TTT y T nmnmnm nm ∆+ ∆ +− = ∂ ∂ −+ 2 、 Discrete equation Differential equation for two-dimensional steady-state heat flow 2 2 2 2 0 T T q x y k • ∂ ∂ + + = ∂ ∂ 3-5 Numerical Method of Analysis admission.edhole.com
  • 39. CUMT HEAT TRANSFER LECTURE 2 、 Discrete equation Discrete equation at nodal point (m,n) 1, , 1, , 1 , , 1 2 2 2 2 0m n m n m n m n m n m nT T T T T T q x y k • + − + −− + − + + + = ∆ ∆ 1, , 1, , 1 , , 1 2 2 2 2 0m n m n m n m n m n m nT T T T T T x y + − + −− + − + + = ∆ ∆ no heat generation Δx= Δy 1, 1, , 1 , 1 ,4 0m n m n m n m n m nT T T T T+ − + −+ + + − = 3-5 Numerical Method of Analysis admission.edhole.com
  • 40. CUMT HEAT TRANSFER LECTURE 2 、 Discrete equation Thermal balance (1) Interior points steady-state & no heat generation 1, 1, , 1 , 1 0m n m n m n m nq q q q− + + −+ + + = 1, , 1, d d m n m n m n T TT q kA k y x x − − − = − = ∆ ∆ x TT ykq nmnm nm ∆ − ∆= + + ,,1 ,1 , 1 , , 1 m n m n m n T T q k x y + + − = ∆ ∆ , 1 , , 1 m n m n m n T T q k x y − − − = ∆ ∆ 1, , 1, , , 1 , , 1 , 0m n m n m n m n m n m n m n m nT T T T T T T T k y k y k x k x x x y y − + + −− − − − ∆ + ∆ + ∆ + ∆ = ∆ ∆ ∆ ∆ 3-5 Numerical Method of Analysis admission.edhole.com
  • 41. CUMT HEAT TRANSFER LECTURE Thermal balance Δx= Δy 1, 1, , 1 , 1 ,4 0m n m n m n m n m nT T T T T+ − + −+ + + − = genq q V q x y • • = × = ×∆ ∆ 2 1, 1, , 1 , 1 ,4 ( ) 0m n m n m n m n m n q T T T T T x k • + − + −+ + + − + ∆ = steady-state with heat generation (1) Interior points 3-5 Numerical Method of Analysis admission.edhole.com
  • 42. CUMT HEAT TRANSFER LECTURE 2 、 Discrete equation Thermal balance (2) boundary points 1, , 1, m n m n m n T T q k y x − − − = ∆ ∆ , 1 , , 1 2 m n m n m n T Tx q k y + + −∆ = ∆ , 1 , , 1 2 m n m n m n T Tx q k y − − −∆ = ∆ ,( )w m nq h y T T∞= ×∆ × − 1, , , 1 , , 1 , ,( ) 2 2 m n m n m n m n m n m n m n T T T T T Tx x k y k k h y T T x y y − + − ∞ − − −∆ ∆ ∆ + + = ×∆ × − ∆ ∆ ∆ 3-5 Numerical Method of Analysis admission.edhole.com
  • 43. CUMT HEAT TRANSFER LECTURE Thermal balance Δx= Δy (2) boundary points , 1, , 1 , 1 1 ( 2) ( ) 2 m n m n m n m n h x h x T T T T T k k − + − ∞ ×∆ ×∆ + = + + + 1, , , 1 , , ,( ) ( ) 2 2 2 2 m n m n m n m n m n m n T T T Ty x x y k k h T T h T T x y − − ∞ ∞ − −∆ ∆ ∆ ∆ + = × × − + × × − ∆ ∆ , 1, , 1 1 ( 1) ( ) 2 m n m n m n h x h x T T T T k k − − ∞ ×∆ ×∆ + = + + Δx= Δy 3-5 Numerical Method of Analysis admission.edhole.com
  • 44. CUMT HEAT TRANSFER LECTURE Thermal balance (2) boundary points Δx= Δy 1, , 1, , , 1 , , 1 , , , 2 2 ( ) ( ) 2 2 m n m n m n m n m n m n m n m n m n m n T T T T T Ty x k y k k x x y T T x y k x h T T h T T y − + − + ∞ ∞ − − −∆ ∆ ∆ + + ∆ ∆ ∆ − ∆ ∆ + ∆ = × × − + × × − ∆ , 1, 1, , 1 , 1 1 ( 3) (2 2 ) 2 m n m n m n m n m n h x h x T T T T T T k k − + − + ∞ ×∆ ×∆ + = + + + + 3-5 Numerical Method of Analysis admission.edhole.com
  • 45. CUMT HEAT TRANSFER LECTURE 3 、 Algebraic equation 11 1 12 2 1 1 21 1 22 2 2 2 1 1 2 2 ...... ...... ............................................ ...... n n n n n n nn n n a T a T a T C a T a T a T C a T a T a T C + + + = + + + = + + + = 3-5 Numerical Method of Analysis admission.edhole.com
  • 46. CUMT HEAT TRANSFER LECTURE Matrix notation [ ] 11 12 1 21 22 2 1 2 ... ... ... ... ... ... ... n n n n nn a a a a a a A a a a      =       [ ] 1 2 ... n T T T T      =       [ ] 1 2 ... n C C C C      =       [ ][ ] [ ]A T C= Iteration Simple Iteration & Gauss-Seidel Iteration 3-5 Numerical Method of Analysis admission.edhole.com
  • 47. CUMT HEAT TRANSFER LECTURE Example 3-5 Consider the square shown in the figure. The left face is maintained at 100 and the top face at 500 , while the℃ ℃ other two faces are exposed to a environment at 100 .℃ h=10W/m2· and k=10W/m· . The block is 1 m square.℃ ℃ Compute the temperature of the various nodes as indicated in the figure and heat flows at the boundaries. admission.edhole.com
  • 48. CUMT HEAT TRANSFER LECTURE [Solution] The equations for nodes 1,2,4,5 are given by 2 4 1 1 3 5 2 1 5 7 4 2 4 6 8 5 500 100 4 0 500 4 0 100 4 0 4 0 T T T T T T T T T T T T T T T T + + + − = + + + − = + + + − = + + + − = Example 3-5 admission.edhole.com
  • 49. CUMT HEAT TRANSFER LECTURE [Solution] Equations for nodes 3,6,7,8 are The equation for node 9 is 9 6 8 1 1 1 1 ( ) 100 3 2 3 T T T= + + × 3 2 6 6 3 5 9 7 4 8 8 7 5 9 1 1 1 2 (500 2 ) 100 3 2 3 1 1 1 2 ( 2 ) 100 3 2 3 1 1 1 2 (100 2 ) 100 3 2 3 1 1 1 2 ( 2 ) 100 3 2 3 T T T T T T T T T T T T T T = + + + × = + + + × = + + + × = + + + × Example 3-5 admission.edhole.com
  • 50. CUMT HEAT TRANSFER LECTURE 3 2 6 1 1 1 2 (500 2 ) 100 3 2 3 T T T= + + + × 6 3 5 9 1 1 1 2 ( 2 ) 100 3 2 3 T T T T= + + + × 7 4 8 1 1 1 2 (100 2 ) 100 3 2 3 T T T= + + + × 8 7 5 9 1 1 1 2 ( 2 ) 100 3 2 3 T T T T= + + + × The equation for node 9 is 9 6 8 1 1 1 1 ( ) 100 3 2 3 T T T= + + × Example 3-5 admission.edhole.com
  • 51. CUMT HEAT TRANSFER LECTURE We thus have nine equations and nine unknown nodal temperatures. So the answer is For the 500 face, the heat flow into the face is℃ 31 2 (500 )(500 ) (500 ) 10 [ ] 2 ... 4843.4 / in TT TT x q k A x x y y y y W m −− −∆ ∆ = × × = × ∆ × + ∆ × + × ∆ ∆ ∆ ∆ = = ∑ The heat flow out of the 100 face is℃ 71 4 1 ( 100)( 100) ( 100) 10 [ ] 2 ... 3019 / TT TT y q k A y y x x x x W m −− −∆ ∆ = × × = × ∆ × + ∆ × + × ∆ ∆ ∆ ∆ = = ∑ Example 3-5 admission.edhole.com
  • 52. CUMT HEAT TRANSFER LECTURE 2 3 6 9 ( ) 10 [ ( 100) ( 100) ( 100)] 2 ... 1214.6 / q h A T T y y T y T T W m ∞= × × − ∆ = × ∆ × − + ∆ × − + × − = = ∑ The heat flow out the right face is 3 7 8 9 ( ) 10 [ ( 100) ( 100) ( 100)] 2 ... 600.7 / q h A T T y y T y T T W m ∞= × × − ∆ = × ∆ × − + ∆ × − + × − = = ∑ 1 2 3 ... 4834.3 /outq q q q W m= + + = = 4843.4 /inq W m=< The heat flow out the bottom face is The total heat flow out is Example 3-5 admission.edhole.com
  • 53. CUMT HEAT TRANSFER LECTURE 3-6 Numerical Formulation in Terms of Resistance Elements Thermal balance — the net heat input to node i must be zero 0j i i j i j T T q R − + =∑ qi — heat generation, radiation, etc. i — solving node j — adjoining node admission.edhole.com
  • 54. CUMT HEAT TRANSFER LECTURE 1, , 1, , , 1 , , 1 , 0m n m n m n m n m n m n m n m n m m n n T T T T T T T T R R R R − + − + − + − + − − − − + + + = x R kA ∆ = 1 m m n nR R R R k − + − += = = = 1, 1, , 1 , 1 ,4 0m n m n m n m n m nT T T T T+ − + −+ + + − = 0 j i i j i j T T q R − + =∑ so 3-6 Numerical Formulation in Terms of Resistance Elements admission.edhole.com
  • 55. CUMT HEAT TRANSFER LECTURE 3-7 Gauss-Seidel Iteration 0 j i i j i j T T q R − + =∑ ( / ) (1/ ) i j i j j i i j j q T R T R + = ∑ ∑ Steps Assumed initial set of values for Ti ; Calculated Ti according to the equation ; —using the most recent values of the Ti Repeated the process until converged. admission.edhole.com
  • 56. CUMT HEAT TRANSFER LECTURE Convergence Criterion ( 1) ( )i n i nT T δ+ − ≤ ( 1) ( ) ( ) i n i n i n T T T ε+ − ≤ 3 6 10 10ε − − = ~ Biot number h x Bi k ∆ = 3-7 Gauss-Seidel Iteration admission.edhole.com
  • 57. CUMT HEAT TRANSFER LECTURE Example 3-6 1x R k y k ∆ = = ∆ Apply the Gauss-Seidel technique to obtain the nodal temperature for the four nodes in the figure. [Solution] All the connection resistance between the nodes are equal, that is Therefore, we have ( / ) ( ) ( ) (1/ ) ( ) ( ) i j i j i j j j j j j j i i j j j j j j q T R q k T k T T R k k + + = = = ∑ ∑ ∑ ∑ ∑ ∑admission.edhole.com
  • 58. CUMT HEAT TRANSFER LECTURE Example 3-6 Because each node has four resistance connected to it and k is assumed constant, so 4j j k k=∑ 1 4 i j j T T∴ = ∑ admission.edhole.com
  • 59. CUMT HEAT TRANSFER LECTURE 3-8 Accuracy Consideration Truncation Error — Influenced by difference scheme Discrete Error — Influenced by truncation error & x△ Round-off Error — Influenced by x△ admission.edhole.com
  • 60. CUMT HEAT TRANSFER LECTURE Summary (1)Numerical Method Solving Zone Nodal equations thermal balance method — Interior & boundary point Algebraic equations Gauss-Seidel iteration ( / ) (1/ ) i j i j j i i j j q T R T R + = ∑ ∑ admission.edhole.com
  • 61. CUMT HEAT TRANSFER LECTURE Summary (2)Resistance Forms 0j i i j i j T T q R − + =∑ (3)Convergence Convergence Criterion ( 1) ( )i n i nT T δ+ − ≤ ( 1) ( )i n i nT T δ+ − ≤ admission.edhole.com
  • 62. CUMT HEAT TRANSFER LECTURE Summary (4)Accuracy Truncation Error Discrete Error Round-off Error Important conceptions Nodal equations — thermal balance method Calculated temperature & heat flow Convergence criterion How to improve accuracy admission.edhole.com
  • 63. CUMT HEAT TRANSFER LECTURE Exercises Exercises: 3-16, 3-24, 3-48, 3-59 admission.edhole.com