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S T E A D Y O N E – D I M E N S I O N A L C O N V E C T I O N & D I F F U S I O
N
0
dx
ud
dx
d
dx
du
dx
d
aw aE ap
2w
w
FD
2e
e
FD weEw FFaa
A property is transported by
means of convection and
diffusion through the one –
dimensional domain – sketched
in Figure 5.2.
F O R E N D N O D E A
AeAPA
pee
uuxx
e)()()(
2/)(
)(2)()(2 APApeeAApe DDFFe
AAPApeEEAAPe DDDDFFeFe 2222
Grouping the above equation in the form
ueewwPp saaa
AAAAeepAe DFFe
DDDFe 2)
2(0)2
2(
Now we have to re arrange ap in the form
pweewp SFFaaa )(
Let us add and subtract Fe / 2 and Fw in the term ap.
The governing equation is
( 5.3 ), boundary
conditions are 0 = 1 at
x = 0 and L = 0 at x – L. Using
five equally spaced cells and the
central differencing scheme for
convection and diffusion
calculate the distribution of as a
function of x for
C a s e 1 :
u = 0.1 m / s,
C a s e 2 :
u = 2.5 m / s, and compare the results
with
the analytical Solution.C a s e 3 :
Recalculate the solution for u = 2.5 m / s
with 20 grid nodes and compare the
results with the analytical solution. The
following data apply: length L = 1.0 m.
= 1.0 kg / m3, = 0.1
kg / m / s
= 1 x = o
= o
x = L
x x
x
W w P e E
1 32 4 5A B
APAPEeAAEP DDF 2
Fe
wPwPBBWPw
BB DDF
F 2
C E N T R A L D I F F E R E N C E M E T H O D
N O D E - A
N O D E - B
uEEwwpp Saaa
PweEWp SFFaaa
Node aw aE Sp Su
1 0 D - F / 2 - ( 2D + F ) ( 2 D + F ) A
2
D + F / 2 D - F / 2 0 03
4
5 D + F / 2 0 - ( 2D - F ) ( 2 D - F ) B
7183.1
)exp(7183.2 xx
0.2 0.4 0.6 0.80.0 1.0
Exact Solution
Numerical Solution ( CD )
1.0
0.8
0.6
0.4
0.2
D i s t a n c e ( m )
0 . 0 0 . 2 0 . 4 0 . 6 0 . 8 1 . 0
Exact Solution
Numerical Solution ( C D )
U = 2 . 5 m /s
D i s t a n c e ( m )
1.0
0.8
0.6
0.4
0.2
P R O P E R T I E S O F
D I S C R E T I S A T I O N S C H E M E
S
• Conservativeness
• Boundedness
• Transportiveness
C O N S E R V A T I V E N E S
STo ensure conservation of for
the whole solution domain the
flux of leaving a control
volume across a certain face
must be equal to the flux of
entering the adjacent control
volume through the same face.
G r a d i e n t = (2 - 2 ) / x
x / 2 x x x x / 2
qA qB
1
23 4
1 2 3 4
C O N S I S T E N T S P E C I F I C A T I O N O F D I F F U S I V E F L U X E S
I N C O N S I S T E N T S P E C I F I C A T I O N O F D I F F U S I V E F L U X E S
x / 2
x x x
x / 2
q B
1
23
4
1 2 3 4
Gradient of 2
Gradient of 2
Quadratic function 1
Quadratic function 2
q A
B O U N D E D N E S SScarborough has shown that a sufficient condition for a convergent iterative method can be expressed in terms of the values of the coefficients of the discretised equations.
p
nb
a
a
'
£1 at all nodes
< 1 at one node at least
Here a’p is the net coefficient of the central node P ( i.e. ap – Sp ) and the summation in the numerator is taken over all the neighbouring nodes ( nb ).
• Diagonal dominance is a desirable
feature
for satisfying the bounded ness
criterion.
This states that in the absence
of
sources the internal nodal values
of
the property should be bounded
by
its boundary values.
• All coefficients of the discretised
equations
should have the same sign ( usually all
positive )
Thus the value of at E is affected
only by upstream conditions and
since there is no diffusion E is
equal to P. It is very important
that the relationship between the
magnitude of the Peclet number
and the directionality of
influencing, known as the
transportiveness, is borne out in
the discretisation scheme.
aw aE aP
2w
w
FD
2e
e
FD )( weEw FFaa
I N T E R N A L C O E F F I C I E N T S O F D I S C R E T I S E D S C A L A R
T R A N S P O R T
2/ eee PeDF
U P W I N D D I F F E R E N C I N G S C H E M E W H E N I S P O S
I T I V E
xWw
xwP xPexeE
W W
Pe E
w w
P e
E
uw ue
U P W I N D D I F F E R E N C I N G S C H E M E W H E N I S N E GA T I V
E
w
xWw
xwP xPe xeE
W Pe E
w w P
e E
uw ue
)()(:1 APAPEeAAPe DDFFNODE
)()(:5 wPwPBBWwPB DDFFNODE Node aw ae Sp Su
1 0 D- ( 2 D +
F ) ( 2 D + F )
A
2
D + F D 0 03
4
5 D + F 0 - 2 D 2 DB
U P W I N D S O L U T I O N T O S A M E P R O B L E M
The governing equation is
( 5.3 ), boundary
conditions are 0 = 1 at
x = 0 and L = 0 at x = L. Using
five equally spaced cells and the
central differencing scheme for
convection and diffusion
calculate the distribution of as a
function of x for
C a s e 1 :
u = 0.1 m / s,
C a s e 2 :
u = 2.5 m / s, and compare the results
with
the analytical Solution.C a s e 3 :
Recalculate the solution for u = 2.5 m / s
with 20 grid nodes and compare the
results with the analytical solution. The
following data apply: length L = 1.0 m.
= 1.0 kg / m3, = 0.1
kg / m / s
U P W I N D D I F F E R E N C I N G
S C H E M E
ueewwpp Saaa
Node
aw ae Sp Su
1 0 D – F / 2 - ( 2D + F ) ( 2D + F ) A
2,3,4 D + F / 2 D – F / 2 0 0
5 D + F / 2 0 - ( 2D - F ) ( 2D + F ) B
pweewp SFFaaa )(
F O R E N D N O D E B
aw = 0 . 5 5
ae = 0
Sp = - 0 . 9
Su = 0 . 9 B
ap = aw +ae + ( Fe – Fw ) -
Sp
ap = 1 . 4 5
app = aw w + ae e + Su
1 . 55 p = 0 + 0 . 4 5 e + 1 .1
A
1p = 0 . 5 5 w + 0 . 4 5 e
p = 0 . 5 5 w + 0 . 4 5 e
p = 0 . 5 5 w + 0 . 4 5 e
1 . 4 5 p = 0 . 5 5 w + 0 . 9
1 = b1
1 = d1 / b1
i = bi - ( ai ci – 1 / i -1 )
Ti = i - ( Ci Ti + 1 / i )
1 = ( di - ai i - 1 ) / i
U P W I N D D I F F E R E N C I N G
S C H E M E ( U = 2.5
m /s )
ueewwpp Saaa
Node
aw ae Sp Su
1 0 D – F / 2 - ( 2D + F ) ( 2D + F ) A
2,3,4 D + F / 2 D – F / 2 0 0
5 D + F / 2 0 - ( 2D - F ) ( 2D + F ) B
pweewp SFFaaa )(
F O R E N D N O D E Aaw = 0
ae = D – F / 2
= - 0 . 7 5Sp = - ( 2 D + F )
= - 3 . 5Su = 3 . 5 A
ap = 2 . 7 5
F O R I N T E R M E D I A T E N O D E S
aw = D + F / 2
= 1 . 7 5
Qe = D - F / 2
= - 0 . 7 5
Sp = 0
ap = 1
F O R E N D N O D E B
aw = D + F / 2
= 1 . 7 5ae = 0
Sp = - ( 2 D - F )
= 1 . 5Su = ( 2 D – F ) B
= - 1 . 5 B
ap = 0 . 2 5
app = aw w + ae e + Su
2 . 7 5 p = - 0 . 7 5 e + 3 . 5
A
p = 1 . 7 5 w - 0 . 7 5 e
p = 1 . 7 5 w - 0 . 7 5 e
p = 1 . 7 5 w - 0 . 7 5 e
0 . 2 5 p = 1 . 7 5 w - 1 . 5
B
1 = b1
1 = d1 / b1
i = bi - ( ai ci – 1 / i -1 )
Ti = i - ( Ci Ti + 1 / i )
1 = ( di - ai I - 1 ) / i
T 4 = 0 . 3 4 9
T 3 = 1 . 2 6 0
T 2 = 0 . 8 6
T 1 = 1 . 0 3 5
T 4 = 0 . 3 4 9
T 3 = 1 . 2 6 0
T 2 = 0 . 8 6
T 1 = 1 . 0 3 5
N U M E R I C A L R E S U L T S &
A N A L Y T I C A L S O L U T I O N
0.0
0.2
0.4
0.6
0.8
1.0
0.2 0.4 0.6 0.8 1
Numerical Solution ( UD )
Exact Solution
U – 0.1 m / s
0.0
0.2
0.4
0.6
0.8
1.0
1.2
0.2 0.4 0.6 0.8 1.0
Distance ( m )
N U M E R I C A L R E S U L T S &
A N A L Y T I C A L S O L U T I O N
Numerical Solution ( UD )
Exact Solution
U = 2 . 5 m / s
F L O W D O M A I N F O R T H E I L L U S T R A T I O N O F F A L S E D I F F U S I O
N
= 0
= 1 0 0
=
1 0
0
=
0
V =
2 m
/ s
U = 2 m / s
X
X
H Y B R I D D I F F E R E N C I N G
S C H E M E
WPw
w
w
ww x
u
D
FPe
/
)(
P
wW
www PPFq
e
21
2
1
e
21
2
1
22 Pefor
uEEwwPP Saaa
pweEwP SFFaaa )(
Node aw ae Sp Su
1 0 0- ( 2 D +
F ) ( 2 D + F )
A
2
F 0 0 03
4
5 F 0 - 2 D 2 DB
0.6
0.2 0.4 0.6 0.80.0
1.0
Numerical Solution( Hybrid, 25 cells )
Numerical Solution( Hybrid, 5 cells )
U – 2.5 m /s
Distance ( m )
Exact Solution0.2
0.4
0.8
0.0
)rrBBNNssEEwwPP aaaaaaa Faaaaaaa TBNsEwP
One – dimensional flow
Two - dimensional
flow
Three – dimensional flow
aw
aE
as
-aN
aB -
ar
F
0,
2,max w
ww
FDF
0,
2,max w
ww
FDF
0,
2,max e
ee
FDF
0,
2,max s
ss
FDF
0,
2,max n
nn
FDF
0,
2,max w
ww
FDF
0,
2,max e
ee
FDF
0,
2,max s
ss
FDF
0,
2,max n
nn
FDF
0,
2,max t
tt
FDF
we FF snwe FFFF btsnwe FFFFFF
0,
2,max b
bb
FDF
0,
2,max e
we
FDF
Face w e s n b t
F
D
ww Au
wWP
w Ax
ee Au
ePE
e Ax
ss Av
sSP
s Ay
nn Av
nPN
n Ay
bb Aw
bPN
b Az
tt Aw
tPT
t Az
P O W E R – L A W S C H E M E 100)]([ PeforFq wPwwww
www Fq f o r P e > 1 0
)( weEwP FFaaa
aw aE
]0,max[/)/1.01(,max 5www FPeOD ]0,max[/)/1.01(,max 5
eee FPeOD
W = ( 1 – 0.1 Pew ) 5 / Pew
Q U A D R A T I C P R O F I L E S U S E D
I N T H E Q U I C K S C H E M E
WW W w P e E EE
EE W
w
pe E
WW
21 8
1
8
3
8
6 iiiface
WWpWw 8
1
8
3
8
6
WEpe 8
1
8
3
8
6
WWPWwWEPe FF
8
1
8
3
8
6
8
1
8
3
8
6
)()( wpwpEe DD
Wewwpeeww FFDFDFD
8
1
8
6
8
6
8
3
WWwEee FFD 8
1
8
3
wwwwEEwwPP aaaa
aw aE aww ap
eww FFD8
1
8
6
ee FD8
3 eF8
1 )( wewwEw FFaaa
aw aE aEE ap
EWPw 8
1
8
3
8
6
EEpEe 8
1
8
3
8
6
ww FD8
3 Wee FFD
8
1
8
6
eF8
1 )( weEEEw FFaaa
EEEEWWWWEEwwPP aaaaa
)( weEEWWEwP FFaaaaa
aw aE aE aEE
eewww FFD 8
1
8
6
wwF8
1
eeeee FFD )1(8
6
8
3
ww F)1(8
1 ee F)1(
8
1
ww F)1(8
3
w = 1 for Fw > 0 and = 1 for Fe >
0
w = 0 for Fw < 0 and = 0 for Fe <
0
e
e
M I R R O R N O D E T R E A T M E N T
A T T H E B O U N D A R Y
0
A
p
x / 2 x / 2
Mirror Node
Domain Boundary
Node 1
0 P
The governing equation is
( 5.3 ), boundary
conditions are 0 = 1 at
x = 0 and L = 0 at x = L. Using
five equally spaced cells and the
central differencing scheme for
convection and diffusion
calculate the distribution of as a
function of x for
C a s e 1 :
u = 0.1 m / s,
C a s e 2 :
u = 2.5 m / s, and compare the results
with
the analytical Solution.C a s e 3 :
Recalculate the solution for u = 2.5 m / s
with 20 grid nodes and compare the
results with the analytical solution. The
following data apply: length L = 1.0 m.
= 1.0 kg / m3, = 0.1
kg / m / s
uEEwwPP Saaa
pweEwP SFFaaa )(
Node aw ae Sp Su
1 0 0- ( 2 D +
F ) ( 2 D + F )
A
2
F 0 0 03
4
5 F 0 - 2 D 2 DB
3.5 0 0 0 0
-2.5 2.5 0 0 0
0 -2.5 2.5 0 0
0 0 -2.5 2.5 0
0 0 0 -2.5
3.5
1
2
3
4
5
3.5
0
0
0
0
=
b1 C1 0 0 0
a2 b2 c2 0 0
0 a3 b3 c3 0
0 0 a4 b4 c4
0 0 0 a5 b5
1
2
3
4
5
d1
d2
d3
d4
d5
=
1 = b1
1 = d1 / b1
i = bi - ( ai ci – 1 / i -1 )
Ti = i - ( Ci Ti + 1 / i )
1 = ( di - ai I - 1 ) / i