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8/12/2019 Lecture Week 4 1
1/21
ME 3345 Heat Transfer
Objective:
Introduction To Steady State 2-D Heat Transfer
Numerical Solutions to Multidimensional Heat
Transfer
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2
2
1T T
tx
2-D and Transient Heat Conduction Equations
How can we solve this equation, given 4 B.C.s?
How can we solve this equation, given
2 B.C.s and the initial condition?
( , )T x y
( , )T x t
Partial differential equations
Parabolic equation
LaPlace Equation (special form of Poisson Equations)
Chapter 4
Chapter 5
2 2
2 2 0
T T
x y
T2
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1. Exact solutions or analytical solutions
- can only be obtained for limited cases with regular B.C.s
- complicated functions and series are involved
- serve as a tool to verify numerical solutions
- excellent sources of analytical solutions in many found in
many texts: (e.g., Carslaw and Jaeger, Conduction of
Heat in Solids, 1959)
2. Graphical methods- physically intuitive and tedious
- limited use for simple geometries only
- Not good for high accuracy calculations
3. Numerical methods
- powerful
- easy to get wrong results: be careful
- 1 & 2 are often used to ensure that the numerical
solutions are correct
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Main points: Isotherms and Heat Flow Lines
FLUX PLOT
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Main points: Symmetry lines
Lines of symmetry are adiabatic.
Symmetry lines are also heat flow lines.
We need only to study 1/8 of the whole
structure to save time.
Long square duct
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2 2
2 2
1
1
1
2
0
(0, )
( , )
( , 0)
( , )
T T
x y
T y T
T L y T
T x T
T x W T T1
T2
T1 T1
L
W
x
y
2 2
2 2 0
(0, ) 0
( , ) 0
( , 0) 0
( , ) 1
x y
y
L y
x
x W
1
2 1
LetT T
T T
2-D steady-state:
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Separation of Variables
Assume ( , ) ( ) * ( )x y f x g y
Hope to obtain equations for ( ) and ( ) separately.f x g y
Find all solutions and the one that meets all the B.C.s.
The Fourier series is often involved.
Let ( , ) ( )* ( )x y X x Y y
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1
( , ) sin sinhnn
n x n yx y C
L L
You can verify that it satisfies the partial different equation
as well as three of the B.C.s. For it to be the solution, wemust have
Solving for Cn, we obtain:
1
( , ) 1 sin sinhnn
n x n W x W C
L L
The solution to the differential equation for this problem is
in the form of:
1
2 1 cos( , ) sin sinh sinh
n
n n x n y n W x y
L Ln L
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8/12/2019 Lecture Week 4 1
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Introduction to Finite Difference Method
Several different numerical methods have been developed.
Finite difference method is more intuitive and easy to apply.
Other methods include
Finite element method
Finite volume method
Boundary element method, etc.
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Numerical method -- continued
Discretization: a nodal network, called mesh orgrid. We canrefine the mesh but we cannot obtain continuous solutions.
Nodal points or simply nodes, nodal property such as nodal
temperature - it is the temperature of the node but it also
represents the temperature around the node (average).
Basic principle: Through approximation, convert the
differential equations to a set of algebraic equations that can be
solved numerically.
A coarse mesh A fine mesh
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,m nT = average temperature around nodeP(m, n).
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Discretization of a Continuous Function
1
1/ 2
m m
m
T TdT
dx x
1
1/ 2
m m
m
T TdTdx x
21/ 2 1/ 2 1 1
2 2
2
( )
m m m m m
m
T T
x x T T Td T
xdx x
T
x
m
m+1
m+1/2m 1m 1/2
xx
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2 2
2 2 0
T T
x y
21, 1, ,
2 22
( )
m n m n m n
m
T T TTx x
2, 1 , 1 ,
2 2
2
( )
m n m n m n
m
T T TT
y y
2-D Steady State
If , then we obtainx y
1, 1, , 1 , 1 ,4 0m n m n m n m n m nT T T T T
Finite difference equation for (m, n)
UseNlinear algebraic equations to solveNunknowns.
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The Energy Balance Method
m,n
m,n 1
m,n+1
m+1,nm 1, n
x
y
y
x
m,n m+1,n
x
y
m,n m+1,n
qin
1yk
xqin = (Tm+1,nTm,n)
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m,n
m,n 1
m,n+1
m+1,nm 1, n
x
y
y
x
2-D Steady State with Heat Generation
0in gE E
1, , 1, ,
, 1 , , 1 ,
( ) ( )
( ) ( )
0
m n m n m n m n
m n m n m n m n
y y
k T T k T T x x
x xk T T k T T
y y
q x y
m,n
m+1,n
1ykx
1xk
y
m,n+1
m 1, n
m,n 1
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21, 1, , 1 , 1 ,
( )4 0m n m n m n m n m nq xT T T T T
k
If ,x y
Corner Nodes and others -- Read pp. 200 - 205
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What do we end up with is a set of linear algebraic equations.
Assume there areNunknown nodal temperatures.
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
1
, 1, 2,...,N ij j ij
a T C i N
1 1[ ] [ ] [ ]N N N NA T C
11 12 1 1 1
21 22 2 2 2
1 2
... ...
... ...
. .... ... ... . .
... ...
N
N
N N NN N N
a a a T C
a a a T C
a a a T C
1[ ] [ ] [ ]T A C
Matrix inversion solution:
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1. Energy balance
2. Grid-Independent Study
3. Compare with exact solution if available
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