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Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.4, No.8, 2014
64
Effect of couple stress fluid on MHD peristaltic motion and
heat transfer with partial slip in an inclined asymmetric
channel
Ghusoon G.mhammad ,Ahmed M. Abdulhadi
Department of Mathematic, College of Science, University of Baghdad, Baghdad, Iraq.
email: ghusoon.ghazi@yahoo.com , ahm6161@yahoo.com
The research is financed by Asian Development Bank. No. 2006-A171(Sponsoring information)
Abstract
In this investigation we have analyzed the effect of variable couple stress fluid on the peristaltic flow of
non-Newtonian fluid in an inclined asymmetric channel . The relevant equations have been modeled. Analysis
has been carried out in the presence of velocity and thermal slip conditions. Expressions for stream function,
temperature, pressure gradient and heat transfer coefficients are derived. Numerical integration has been
performed for pressure rise per wavelength. Plots are presented and analyzed for various embedded parameters
into the problem. This study is done through drawing many graphs by using the MATHEMATICA package.
Keywords: Heat transfer ,Non - Newtonian fluid, Couple stress, magnetic field, Partial slip, inclined..
1.Introduction
several researchers have analyzed the phenomenon of peristaltic transport under various assumptions. It is
noticed from the available literature that much has been reported on the peristaltic transport of hydrodynamic
viscous and non-Newtonian fluids. Some recent investigations regarding such fluids are mentioned in the studies
[1-11].The couple-stress fluid may be considered as a special case of a non-Newtonian fluid which is intended to
take into account the particle size effects. Moreover, the couple stress fluid model is one of the numerous models
that proposed to describe response characteristics of non-Newtonian fluids. The constitutive equations in these
fluid models can be very complex and involving a number of parameters, also the out coming flow equations
lead to boundary value problems in which the order of differential equations is higher than the Navier–Stokes
equations. Some recent investigations regarding such fluids are mentioned in the studies [11-11]. Mekheimer[21]
has discussed the effects of the induced magnetic field on peristaltic flow of a couple stress fluid in a slit channel.
Magneto hydrodynamics (MHD) is the science which deals with the motion of a highly conducting fluids in the
presence of a magnetic field. The motion of the conducting fluid across the magnetic field generates electric
currents which change the magnetic field, and the action of the magnetic field on these currents gives rise to
mechanical forces which modify the flow of the fluid[23]. Recently Akbar et al. [24] analyzed the simultaneous
effects of partial slip and heat transfer on the peristaltic flow of third fluid in an inclined asymmetric channel.
With the above discussion in mind, the goal of this investigation is to study the effect of couple stress fluid
on MHD peristaltic motion and heat transfer with partial slip in an inclined asymmetric channel. The governing
equations are simplified using long wavelength approximation. An exact solutions of velocity, stream function,
energy equation and pressure gradient has found. The expressions for pressure rise has been calculated using
numerical integration by software Mathematica. The effects of pertinent parameters on the velocity, energy
equation, pressure gradient, and stream functions are presented graphically.
Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.4, No.8, 2014
65
2. Mathematical formulation and analysis
We Consider an incompressible magnetohydrodynamic (MHD) fluid in an inclined asymmetric channel of
width 21 dd  . The angle of inclination is  . A sinusoidal wave propagating with constant speed c on the
channel walls induces the flow. The heat transfer process is maintained by considering temperatures T0 and T1
to the lower and upper walls of a channel, respectively.
Fig.1 shows the representation of physical model. The wall surfaces are chosen as
)],(
2
cos[111 ctXadHY 


])(
2
cos[122 


 ctXbdHY (1)
where a1 and b1 are the waves amplitudes,  is the wave length, 21 dd  is the channel width, c is the
wave speed, t is the time, X is the direction of wave propagation and Y is perpendicular to X. The phase
difference  varies in the range  0 . For 0 the symmetric channel with waves out of phase can
be described and when   ,the waves are in phase.
Moreover, 2111 ,,, ddba and meet the following relation:
2
2111
2
1
2
1 )(cos2 ddbaba   .
Fig. 1. Geometry of the problem.
The flow is governed by the following expressions
0





Y
V
X
U







sin)(
1 4
2
0
2
2
2
2
gU
UB
U
KY
U
X
U
X
P
Y
U
V
X
U
U
t
U






















cos)(
1
2
2
2
2
gV
KY
V
X
V
Y
P
Y
V
V
X
V
U
t
V


















(2)
0
2K
][ QT
Y
T
V
X
T
U
t
T
c 










 

.
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Vol.4, No.8, 2014
66
Where 2
2
2
2
2
YX 




 , 22
4
4
4
4
4
4
2
YXYX 







 ,
])()(2)(2[ 222
X
V
Y
U
X
V
X
U











 ,
VU, are the velocities in X and Y directions in fixed frame,  is constant density, P is the pressure, is the
kinematics viscosity, is the electrical conductivity, Kis the thermal conductivity, cis the specific heat and T
is the temperature, is the dissipation factor and 0Q the constant heat absorption parameter .
Introducing a wave frame (x, y) moving with velocity c away from the fixed frame (x,y) by
the transformations:
),()(,,,, tXPxpVvcUuYyctXx  (3)
Defining

x
x  ,
1d
y
y  ,
c
u
u  ,
c
v
v  ,

 1d
 ,
1
2
d
d
d  ,
c
pd
p
2
1
 ,

ct
t  ,
1
1
1
d
H
h  ,
2
2
2
d
H
h  ,
1
1
d
a
a  ,
1
1
d
b
b  ,

1
Re
cd
 ,
1cd

  , 2
1d
K
K  , (4)
01
0
TT
TT


 , PrEcBr  ,
1
2
dg
c
Fr  ,
)( 01
2
TTc
c
Ec

 ,
K
cv




Pr ,
10dBM


 ,


 1d ,
cTT
dQ




)( 10
2
10
1 ,
22 1
M
K
N 
Using the above non-dimensional quantities and neglecting the terms of order  and higher, the
resulting equations in terms of stream function  (
x
v
y
u









, ) can be written as:
0
1
2
2
 yyyyyyyyyyyy N 

 , (5)
Pr1
2
  yyyy Br (6)
Where Br is the Brinkman number and Pr Prandtl number.
Since we are considering the partial slip on the wall, therefore, the corresponding boundary
conditions for the present problem can be written as
2
q
 at xahy 2cos11  ,
2
q
 at )2cos(2   xbdhy ,
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12
2






y
L
y

at 1hy  , 12
2






y
L
y

at 2hy  ,
The finishing couple stress boundary condition are:
03
3



y

at 1hy  , 04
4



y

at 2hy  .
And the boundary condition for heat transfer are :
0 on 1hy  , 1 on 2hy  . (7)
Where q is the flux in the wave frame, a, b, and d satisfy the relation
222
)1(cos2 dabba  
The solution of the momentum equation straight forward can be written as
ymfymfymfymfyff 2524131210 sinhcoshsinhcosh  (8)
Where
2
)4( 2222
1
 

N
m ,
2
)4( 2222
2
 

N
m (9)
The functions 50 ,..., ff are large expressions will not mentioned here for sake of simplify.
The flux and average volume flow rate is defined
dqdthhq
T
dtQ
T
Q
TT
  1)(
11
0
21
0
(10) )sin(
Re1
2
2



Fr
N
dx
dp
yyyyyyyyy 
(11)
dx
dx
dp

1
0
(12)
The axial velocity component in the fixed frame is given as
ymmfymmfymmfymmfftYXU y 2252241131121 co s hs in hco s hs in h11),,(   (13)
Where )](2cos[11 tXah   And ])(2cos[(2   tXbdh By
using Eq. (8) the solution of Eq. (6)satisfying the boundary conditions(7)can be written as:
),Pr,,,,,,,,,,( 121543210 yEcmmffffff   . (14)
where 1c and 2c are constant can be determined from the boundary conditions (7).
3. Result and discussion
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In this section,the results are discussed through the graphical illustrations for different physical quantities.
Figs.2-6 show the pressure gradient for different value of Permeability parameter K, couple stress , magnetic
field M , amplitude ratio  , partial slip L , Froude number rF , Reynolds number Reand the inclination of
the channel  .It is noticed that pressure gradient is maximum at X=0.5 for  =1, K=.1, M=4 , L=.1,
rF =1, )sin( =1,and Re=4. and the pressure gradient increas when the parameters M, )sin( and Re
increases as shown in Figs.5,8,9 and the pressure gradient decrease when the other pramerters incrseas.
Pressure rise is important physical measures in peristaltic mechanism,so Figs.7-10 show the effect of L,  ,
M ,K,  ,Re, rF and )sin( on pressure rise.We noticd that increases in  ,L, K,Re and )sin( the p
increases and increases in M,Fr and Q the p will be decreases. Figs.18-22 illusrate the velocity field for
different values of ,K,M and L.It is observed that the velocity field increase when K increase and velocity
field decrease when the other parameters increase and finally the shapes looks like a parabola and it can be
noticed that the velocity take the maximum value in the middle. The temperature field for different value of L,
M ,K, Pr ,Ec, and 1 .are shown in Figs.23 – 28.It is noticed from the figures that the increase in L,M
and the temperature filed decreases while the increase in Pr, Ec and 1 , the temperature filed increases.
0.0 0.2 0.4 0.6 0.8
x
20
40
60
80
100
dp dx
0.0 0.2 0.4 0.6 0.8
x
20
40
60
80
100
120
140
dp dx
Fig.2.variation of dp/dx with x for different values of  Fig.3.variation of dp/dx with x for different values of K,
at k=1000 at,  =1
and the other parameter are M=0.1, d=2, Q=-1, a=0.7, b=1.2, L=0, =0.001, rF =.4, 8.)sin(  ,Re=1
Finally ,the Figs.29-33 describe the stream line and trapping phenomena and the effect of ,,,, QML and 
we noticed that all diagram were not symmetric and the trapping is about the center line and the trapped bolus
decrease in size as LM,, increase and slowly disappear for the large value while increase of the parameter Q
the trapping will be increase.
5.2
2
5.1
1








4.
3.
2.
1.




K
K
K
K
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0.0 0.2 0.4 0.6 0.8
x
20
40
60
80
100
dp dx
0.0 0.2 0.4 0.6 0.8
x
50
100
150
200
250
dp dx
Fig.4. variation of dp/dx with x for different values of L Fig.5. variation of dp/dx with x for different values of M
at, M=1 at L=0
and the other parameter are  =1, K =0.1, d=2, Q=-1, a=0.7, b=1.2, L=0, =0.001, rF =.4, 8.)sin(  ,Re=10
0.2 0.4 0.6 0.8
x
100
100
200
300
400
500
600
dp dx
0.0 0.2 0.4 0.6 0.8
x
100
200
300
400
500
600
dp dx
Fig.6. variation of dp/dx with x for different values of Fig.7. variation of dp/dx with x for different values of
 at rF =.4 rF at  =0.001
and the other parameter are  =1, K =0.1, d=2, Q=-1, a=0.7, b=1.2, L=0, M=1, K =0.1, 8.)sin(  ,Re=10
4
3
2
1




r
r
r
r
F
F
F
F
4
3
2
1




M
M
M
M
4.
3.
2.
1.




L
L
L
L
4
3
2
1








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0.0 0.2 0.4 0.6 0.8
x
100
200
300
400
500
600
dp dx
0.0 0.2 0.4 0.6 0.8
x
100
200
300
400
500
600
dp dx

Fig.8. variation of dp/dx with x for different values Fig.9. variation of dp/dx with x for different values
of )sin( at Re=10 of Re at 8.)sin( 
and the other parameter are  =1, K =0.1, d=2, Q=-1, a=0.7, b=1.2, L=0, M=1, K =0.1, L =0.001, rF =.4
4 2 2 4
Q
20
20
40
p
4 2 2 4
Q
10
5
5
10
p
Fig.10. variation of Q with p for different values Fig.11. variation of Q with p for different values
of  at L=0.02 ,k=.2 of L at 2 ,k=.1000
and the other parameter are ,M=2,d=2,a=0.7,b=1.2, , 6/  ,y=1.4, rF =.4, 8.)sin(  ,Re=10
1)sin(
8.)sin(
4.)sin(
0)sin(








4Re
3Re
2Re
1Re




8.1
7.1
6.1
5.1








08.
04.
02.
0




L
L
L
L
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4 2 0 2 4
Q
10
20
30
40
50
p
4 2 2 4 6 8 10
Q
10
5
5
10
p
Fig.12. variation of Q with p for different values of K at Fig.13. variation of Q with p for different values of M at
2 ,M=2, 1 ,K=10,
and the other parameter are , d=2,a=0.7,b=1.2,,L=0.04,
6

  ,y=1.4, rF =.4, 8.)sin(  ,Re=10
4 2 2 4
Q
20
10
10
20
p
4 2 2 4
Q
20
10
10
20
p
Fig.14. variation of Q with p for different values of Fig.15. variation of Q with p for different values of
rF at 8.)sin(  )sin( at rF =.4,
and the other parameter are 1 , K=10, d=2, M=2 ,a=0.7 ,b=1.2 ,L=0.04, 6/  , y=1.4 ,Re=10
5.2
2
5.1
1




K
K
K
K
5.2
2
5.1
1




M
M
M
M
1)sin(
8.)sin(
4.)sin(
0)sin(








4
3
2
1




r
r
r
r
F
F
F
F
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1 2 3 4 5
Q
20
10
10
20
p
4 2 2 4
Q
20
10
10
20
p
Fig.16. variation of Q with p for different Fig.17. variation of Q with p for different
values of  at Re=10 values of Re at 6/ 
and the other parameter are 1 ,K=10,d=2,a=0.7,b=1.2,,L=0.04,M=2 ,y=1.4, rF =.4, 8.)sin( 
3 2 1 0 1 2
U
0.1
0.2
0.3
0.4
0.5
Y
3 2 1 0 1 2
U
0.1
0.2
0.3
0.4
0.5
Y
Fig.18. the velocity at Q=-1, a=0.7, b=1.2 , =0, x=1 Fig.19. the velocity at  =1, M=1, d=1, Q=-1, a=0.7, b=1.2
k=2, M=1, d=1, ,L=0.02 ,L=0.02, =0, x=1
4/
3/
2/








4Re
3Re
2Re
1Re




3
2
1






1
1.
01.



K
K
K
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3 2 1 0 1 2
U
0.1
0.2
0.3
0.4
0.5
Y
3 2 1 0 1 2
U
0.1
0.2
0.3
0.4
0.5
Y
Fig.20.the velocity at =1, k=2, d=1, Q=-1, a=0.7, b=1.2,L=0.02, Fig.21. the velocity at =1, k=2, M=1, d=1, Q=-1,
a=0.7,b=1.2,  =0, x=1 a=0.7,b=1.2,  =0, x=1
3 2 1 0 1 2
U
0.1
0.2
0.3
0.4
0.5
Y
Fig.22. the velocity at =1,k=2,M=1,d=1,Q=-1,a=0.7,b=1.2,L=0.02,x=1
2 1 0 1 2
Y
0.5
1.0
1.5
2.0
2 1 0 1 2
Y
0.5
1.0
1.5
2.0
Fig.23.variation of temperature with Y for different Fig.24.variation of temperature  with Y for different
value of L at  =1,k=1000,M=1,d=1.5,  =Pi/2, Q=1.4, value of Pr at  =1,k=1000,M=1,d=1.5,Q=1.4,
 =Pi/2,
a=0.5,b=1.2,x=1,Ec=1,Pr=1,L=.01, 1 =.3. a=0.5, b=1.2, L=.01, x=1,Ec=1, 1 =.3
3
2
1



M
M
M
3.
2.
1.






3.
2.
1.



L
L
L
08.
04.
01.



L
L
L
2Pr
1Pr
0Pr



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74
3 2 1 0 1 2
Y
0.5
1.0
1.5
2.0
3 2 1 0 1 2
Y
0.5
1.0
1.5
2.0
Fig.25.variation of temperature  with Y for different Fig.26.variation of temperature  with Y for different
value of M at  =1,k=1000,d=1.5,Q=1.4,a=0.5, value of Ec at,  =1, k=1000, M=1, d=1.5, Q=1.4,
b=1.2,L=.01,  =Pi/2,x=1, Ec=1,Pr=1, 1 =.3 a=0.5, b=1.2, L=.01,  =Pi/2, x=1, Pr=1, 1 =.3
3 2 1 0 1 2
Y
0.5
1.0
1.5
2.0
3 2 1 0 1 2
Y
0.5
1.0
1.5
2.0
2.5
Fig.27.variation of temperature with Y for different Fig.28.variation of temperature with Y for different value of
 at k=1000,M=1,d=1.5,Q=1.4,a=0.5,b=1.2,L=.01, value of 1 at =1, k=1000,M=1,d=1.5,Q=1.4,a=0.5,b=1.2,
 =Pi/2 ,x=1,Ec=1,Pr=1, 1 =.3 L=.01, =Pi/2 ,x=1, Ec=1,Pr=1
3
5.1
1






3.
2.
1.
1
1
1






3
2
1



M
M
M
2
1
0



Ec
Ec
Ec
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75
a
1 1
0.8
0.8
0.8
0.8
0.6
0.6
0.6
0.6
0.4
0.40.4
0.4
0.2
0.20.2 0
0
0
0
0.2
0.4
0.4
0.6
0.6
0.8
0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
b
1 1
0.8
0.8
0.8
0.8
0.6
0.60.6
0.6
0.4
0.40.4
0.4
0.2 0.20.2 0
0
0
0
0.2
0.2 0.2
0.4
0.4
0.6
0.60.8
0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
c
11
0.8
0.8
0.8
0.8
0.6
0.6
0.6
0.6
0.4
0.4 0.4
0.4
0.20.2 0.20
0
0
0.2
0.2 0.2
0.4
0.4 0.4
0.4
0.6 0.6
0.8
0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
Fig.29.stream line for different values of M.(a) M=.1,(b)M=1.5,(c)M=2 and the other parameters are
 =3,k=0.2,d=1,Q=1.5,a=0.5,b=0.5,L=0.02, =0
a
0.80.8
0.6
0.6
0.4 0.4
0.2
0
0
0.2
0.4
0.4
0.6
0.6
0.8
0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
b
0.8 0.8
0.6
0.6
0.4 0.4
0.2
0
0
0.2
0.4
0.4
0.6
0.60.8
0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
c
0.8 0.8
0.6
0.6
0.40.4
0.2
0
0.2
0.4 0.4
0.60.6
0.80.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
Fig.30.stream line for different values of L.(a)L=0.01,(b)L=0.04,(c)L=0.07 and the other parameters are
 =1,k=0.2,d=1,Q=1.5,a=0.5,b=0.5, =0, M=2.
a
1.251.25
1 1
0.750.75
0.5
0.5
0.25
0
0
0.25
0.5
0.5
0.75
0.75
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
b
0.6 0.6
0.4
0.4
0.2 0.2
0
0
0.20.2
0.4 0.4
0.6 0.6
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
c
0.6 0.6
0.4
0.4
0.2
0.2
0
0
0.2 0.2
0.2
0.40.4
0.6 0.6
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
Fig.31.stream line for different values of Q.(a) Q=1.45,(b)Q=1.6,(c)Q=1.8,and the other
parameters are  =1,k=0.2,d=1,a=0.5,b=0.5, =0, M=2,L=0.02.
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ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.4, No.8, 2014
76
a
0.8 0.8
0.6
0.6
0.4 0.4
0.2
0
0
0.2
0.4
0.4
0.6
0.60.8
0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
b
0.8 0.8
0.6
0.6
0.4 0.4
0.2
0
0 0.2
0.4
0.4
0.6
0.6
0.8 0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
c
0.8 0.8
0.6
0.6
0.4 0.4
0.2
0
0
0.2
0.4
0.4
0.6
0.6
0.8
0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
Fig.32.stream line for different values of .(a) =0, (b) =Pi/2,(c)= Pi/5 and the other parameters are
 =1,k=0.2,d=1,Q=1.5,a=0.5,b=0.5,L=0.02, M=2.
a
0.8 0.8
0.6
0.6
0.4 0.4
0.2
0
0
0.2
0.4
0.4
0.6
0.60.8
0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
b
0.8 0.8
0.6
0.6
0.4 0.4
0.2
0
0.2
0.4
0.6
0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
c
0.8 0.8
0.6
0.6
0.4 0.4
0.2
0
0 0.2
0.4
0.4
0.6
0.6
0.8 0.8
0.4 0.2 0.0 0.2 0.4
1.5
1.0
0.5
0.0
0.5
1.0
1.5
Fig.33.stream line for different values of .(a) =.5,(b) =2,(c)=2.4, and the other parameters are
k=0.2,d=1,Q=1.5,a=0.5,b=0.5,L=0..02, M=2.
4. Conclusion
we have discussed the influence of couple stress with heat transfer and magnetic field on the peristaltic
flow of a non-Newtonian fluid with partial slip in inclined channel. the governing equations of motion and
energy equation have been calculated under the assumptions of long wave length approximation The results
are discussed through graphs. We have concluded the following observations:
1. The pressure gradient decreases with the increases in M.
2. The pressure rise decreases with the increases in Land increases when ,M and K increases
3. The velocity field increases with the increase in k and decreases with the increase in M, , L, .
4. an inclination of the channel does not effect on the velocity field and streamlines.
5. The temperature field decreases with the increase in L,M and ,while with the increase in
Pr,Ec and 1 the temperature field increases.
6. The size of the trapping bolus decreases by increasing in L, M, .
7. The size of the trapping bolus increases by increasing Q.
References
1. Ebaid, A., ‘‘Effects of Magnetic Field and Wall Slip Conditions on the PeristalticTransport of a Newtonian Fluid in an
Asymmetric Channel,’’ Phys. Lett. A, 372,4586 (2008).
Mathematical Theory and Modeling www.iiste.org
ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online)
Vol.4, No.8, 2014
77
2. Elshahed, M. and M. H. Haroun, ‘‘Peristaltic Transport of Johnson–Segalman Fluidunder Effect of a Magnetic Field,’’
Math. Prob. Eng., 6, 663 (2003).
3. Elshehawey, E. F., E. M. E. Elbarbary, and N. S. Elgazery, ‘‘Effect of Inclined Magnetic ield on Magneto Fluid Flow
through a Porous Medium between Two InclinedWavy Porous Plates,’’Appl. Math. Comput., 135, 85 (2003).
4. Haroun, M. H., ‘‘Effect of Deborah Number and Phase Difference on PeristalticTransport of a Third-order Fluid in an
Asymmetric Channel,’’ Commun. NonlinearSci. Numer. Simulat., 12, 1464 (2007a).
5. Haroun, M. H., ‘‘Non-linear Peristaltic Flow of a Fourth grade Fluid in an InclinedAsymmetric Channel,’’ Comput.
Mater. Sci., 39, 324 (2007b).
6. Kothandapani, M. and S. Srinivas, ‘‘Non-linear Peristaltic Transport of a NewtonianFluid in an Inclined Asymmetric
Channel through a Porous Medium,’’ Phys. Lett. A,372, 1265 (2008).
7. Mekheimer, and Y. Abd Elmaboud, ‘‘The Influence of Heat Transfer and Magnetic Fieldon Peristaltic Transport of a
Newtonian Fluid in a Vertical Annulus: an Applicationof an Endoscope,’’ Phys. Lett. A, 372, 1657 (2008a).
8. Mekheimer, Kh .S, ‘‘Effect of the Induced Magnetic Field on Peristaltic Flow of a CoupleStress Fluid,’’ Phys. Lett. A,
372, 4271 (2008b).
9. Nadeem, S. and N. S. Akbar, ‘‘Effects of Heat Transfer on the Peristaltic Transportof MHD Newtonian Fluid with
Variable Viscosity: Application of AdomianDecomposition Method,’’ Commun. Nonlinear Sci. Numer. Simulat., 14,
3844(2009a).
10. Nadeem, S. and N. S. Akbar, ‘‘Influence of Heat Transfer on Peristaltic Transport ofHerschel–Bulkley Fluid in a
Non-uniform Inclined Tube,’’ Commun. Nonlinear Sci.Numer. Simulat., 14, 4100 (2009b).
11. Srinivas, S. and M. Kothandapani, ‘‘The Influence of Heat and Mass Transfer on MHDPeristaltic Flow through a Porous
Space with Compliant Walls,’’Appl. Math.Comput., 213, 197 (2009).
12. Srinivas, S. and V. Pushparaj, ‘‘Non-linear Peristaltic Transport in an Inclined AsymmetricChannel,’’ Commun.
Nonlinear Sci. Numer. Simulat., 13, 1782 (2008).
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14. T. Hayat, Y. Wang, A.M. Siddiqui, K. Hutter, S. Asghar, Math. Models Methods Appl. Sci. 12 (2002) 1691.
15. T. Hayat, A.H. Kara, E. Momoniat, Int. J. Non-Linear Mech. 38 (2003) 1533.
16. C. Fetecau, C. Fetecau, Z. Angew. Math. Phys. 56 (2005) 1098.
17. C. Fetecau, C. Fetecau, Int. J. Eng. Sci. 43 (2005) 781.
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21. T. Hayat, N. Ali, Appl. Math. Comput. 193 (2) (2007) 535.
22. Mekheimer, Kh.S.: Effect of induced magnetic field on peristaltic flow of a couple stress fluid. Phys. Lett. A. 372,
4271–4278 (2008)
23. V.C.A. Ferraro, An Introduction to Magneto-Fluid Mechanics, Clarendon Press,Oxford, 1966.
24. N.S. Akbar, T. Hayat, S. Nadeem, Awatif A. Hendi, Effects of slip and heat transfer on the peristaltic flow of a third
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Effect of couple stress fluid on mhd peristaltic motion and

  • 1. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 64 Effect of couple stress fluid on MHD peristaltic motion and heat transfer with partial slip in an inclined asymmetric channel Ghusoon G.mhammad ,Ahmed M. Abdulhadi Department of Mathematic, College of Science, University of Baghdad, Baghdad, Iraq. email: ghusoon.ghazi@yahoo.com , ahm6161@yahoo.com The research is financed by Asian Development Bank. No. 2006-A171(Sponsoring information) Abstract In this investigation we have analyzed the effect of variable couple stress fluid on the peristaltic flow of non-Newtonian fluid in an inclined asymmetric channel . The relevant equations have been modeled. Analysis has been carried out in the presence of velocity and thermal slip conditions. Expressions for stream function, temperature, pressure gradient and heat transfer coefficients are derived. Numerical integration has been performed for pressure rise per wavelength. Plots are presented and analyzed for various embedded parameters into the problem. This study is done through drawing many graphs by using the MATHEMATICA package. Keywords: Heat transfer ,Non - Newtonian fluid, Couple stress, magnetic field, Partial slip, inclined.. 1.Introduction several researchers have analyzed the phenomenon of peristaltic transport under various assumptions. It is noticed from the available literature that much has been reported on the peristaltic transport of hydrodynamic viscous and non-Newtonian fluids. Some recent investigations regarding such fluids are mentioned in the studies [1-11].The couple-stress fluid may be considered as a special case of a non-Newtonian fluid which is intended to take into account the particle size effects. Moreover, the couple stress fluid model is one of the numerous models that proposed to describe response characteristics of non-Newtonian fluids. The constitutive equations in these fluid models can be very complex and involving a number of parameters, also the out coming flow equations lead to boundary value problems in which the order of differential equations is higher than the Navier–Stokes equations. Some recent investigations regarding such fluids are mentioned in the studies [11-11]. Mekheimer[21] has discussed the effects of the induced magnetic field on peristaltic flow of a couple stress fluid in a slit channel. Magneto hydrodynamics (MHD) is the science which deals with the motion of a highly conducting fluids in the presence of a magnetic field. The motion of the conducting fluid across the magnetic field generates electric currents which change the magnetic field, and the action of the magnetic field on these currents gives rise to mechanical forces which modify the flow of the fluid[23]. Recently Akbar et al. [24] analyzed the simultaneous effects of partial slip and heat transfer on the peristaltic flow of third fluid in an inclined asymmetric channel. With the above discussion in mind, the goal of this investigation is to study the effect of couple stress fluid on MHD peristaltic motion and heat transfer with partial slip in an inclined asymmetric channel. The governing equations are simplified using long wavelength approximation. An exact solutions of velocity, stream function, energy equation and pressure gradient has found. The expressions for pressure rise has been calculated using numerical integration by software Mathematica. The effects of pertinent parameters on the velocity, energy equation, pressure gradient, and stream functions are presented graphically.
  • 2. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 65 2. Mathematical formulation and analysis We Consider an incompressible magnetohydrodynamic (MHD) fluid in an inclined asymmetric channel of width 21 dd  . The angle of inclination is  . A sinusoidal wave propagating with constant speed c on the channel walls induces the flow. The heat transfer process is maintained by considering temperatures T0 and T1 to the lower and upper walls of a channel, respectively. Fig.1 shows the representation of physical model. The wall surfaces are chosen as )],( 2 cos[111 ctXadHY    ])( 2 cos[122     ctXbdHY (1) where a1 and b1 are the waves amplitudes,  is the wave length, 21 dd  is the channel width, c is the wave speed, t is the time, X is the direction of wave propagation and Y is perpendicular to X. The phase difference  varies in the range  0 . For 0 the symmetric channel with waves out of phase can be described and when   ,the waves are in phase. Moreover, 2111 ,,, ddba and meet the following relation: 2 2111 2 1 2 1 )(cos2 ddbaba   . Fig. 1. Geometry of the problem. The flow is governed by the following expressions 0      Y V X U        sin)( 1 4 2 0 2 2 2 2 gU UB U KY U X U X P Y U V X U U t U                       cos)( 1 2 2 2 2 gV KY V X V Y P Y V V X V U t V                   (2) 0 2K ][ QT Y T V X T U t T c               .
  • 3. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 66 Where 2 2 2 2 2 YX       , 22 4 4 4 4 4 4 2 YXYX          , ])()(2)(2[ 222 X V Y U X V X U             , VU, are the velocities in X and Y directions in fixed frame,  is constant density, P is the pressure, is the kinematics viscosity, is the electrical conductivity, Kis the thermal conductivity, cis the specific heat and T is the temperature, is the dissipation factor and 0Q the constant heat absorption parameter . Introducing a wave frame (x, y) moving with velocity c away from the fixed frame (x,y) by the transformations: ),()(,,,, tXPxpVvcUuYyctXx  (3) Defining  x x  , 1d y y  , c u u  , c v v  ,   1d  , 1 2 d d d  , c pd p 2 1  ,  ct t  , 1 1 1 d H h  , 2 2 2 d H h  , 1 1 d a a  , 1 1 d b b  ,  1 Re cd  , 1cd    , 2 1d K K  , (4) 01 0 TT TT    , PrEcBr  , 1 2 dg c Fr  , )( 01 2 TTc c Ec   , K cv     Pr , 10dBM    ,    1d , cTT dQ     )( 10 2 10 1 , 22 1 M K N  Using the above non-dimensional quantities and neglecting the terms of order  and higher, the resulting equations in terms of stream function  ( x v y u          , ) can be written as: 0 1 2 2  yyyyyyyyyyyy N    , (5) Pr1 2   yyyy Br (6) Where Br is the Brinkman number and Pr Prandtl number. Since we are considering the partial slip on the wall, therefore, the corresponding boundary conditions for the present problem can be written as 2 q  at xahy 2cos11  , 2 q  at )2cos(2   xbdhy ,
  • 4. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 67 12 2       y L y  at 1hy  , 12 2       y L y  at 2hy  , The finishing couple stress boundary condition are: 03 3    y  at 1hy  , 04 4    y  at 2hy  . And the boundary condition for heat transfer are : 0 on 1hy  , 1 on 2hy  . (7) Where q is the flux in the wave frame, a, b, and d satisfy the relation 222 )1(cos2 dabba   The solution of the momentum equation straight forward can be written as ymfymfymfymfyff 2524131210 sinhcoshsinhcosh  (8) Where 2 )4( 2222 1    N m , 2 )4( 2222 2    N m (9) The functions 50 ,..., ff are large expressions will not mentioned here for sake of simplify. The flux and average volume flow rate is defined dqdthhq T dtQ T Q TT   1)( 11 0 21 0 (10) )sin( Re1 2 2    Fr N dx dp yyyyyyyyy  (11) dx dx dp  1 0 (12) The axial velocity component in the fixed frame is given as ymmfymmfymmfymmfftYXU y 2252241131121 co s hs in hco s hs in h11),,(   (13) Where )](2cos[11 tXah   And ])(2cos[(2   tXbdh By using Eq. (8) the solution of Eq. (6)satisfying the boundary conditions(7)can be written as: ),Pr,,,,,,,,,,( 121543210 yEcmmffffff   . (14) where 1c and 2c are constant can be determined from the boundary conditions (7). 3. Result and discussion
  • 5. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 68 In this section,the results are discussed through the graphical illustrations for different physical quantities. Figs.2-6 show the pressure gradient for different value of Permeability parameter K, couple stress , magnetic field M , amplitude ratio  , partial slip L , Froude number rF , Reynolds number Reand the inclination of the channel  .It is noticed that pressure gradient is maximum at X=0.5 for  =1, K=.1, M=4 , L=.1, rF =1, )sin( =1,and Re=4. and the pressure gradient increas when the parameters M, )sin( and Re increases as shown in Figs.5,8,9 and the pressure gradient decrease when the other pramerters incrseas. Pressure rise is important physical measures in peristaltic mechanism,so Figs.7-10 show the effect of L,  , M ,K,  ,Re, rF and )sin( on pressure rise.We noticd that increases in  ,L, K,Re and )sin( the p increases and increases in M,Fr and Q the p will be decreases. Figs.18-22 illusrate the velocity field for different values of ,K,M and L.It is observed that the velocity field increase when K increase and velocity field decrease when the other parameters increase and finally the shapes looks like a parabola and it can be noticed that the velocity take the maximum value in the middle. The temperature field for different value of L, M ,K, Pr ,Ec, and 1 .are shown in Figs.23 – 28.It is noticed from the figures that the increase in L,M and the temperature filed decreases while the increase in Pr, Ec and 1 , the temperature filed increases. 0.0 0.2 0.4 0.6 0.8 x 20 40 60 80 100 dp dx 0.0 0.2 0.4 0.6 0.8 x 20 40 60 80 100 120 140 dp dx Fig.2.variation of dp/dx with x for different values of  Fig.3.variation of dp/dx with x for different values of K, at k=1000 at,  =1 and the other parameter are M=0.1, d=2, Q=-1, a=0.7, b=1.2, L=0, =0.001, rF =.4, 8.)sin(  ,Re=1 Finally ,the Figs.29-33 describe the stream line and trapping phenomena and the effect of ,,,, QML and  we noticed that all diagram were not symmetric and the trapping is about the center line and the trapped bolus decrease in size as LM,, increase and slowly disappear for the large value while increase of the parameter Q the trapping will be increase. 5.2 2 5.1 1         4. 3. 2. 1.     K K K K
  • 6. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 69 0.0 0.2 0.4 0.6 0.8 x 20 40 60 80 100 dp dx 0.0 0.2 0.4 0.6 0.8 x 50 100 150 200 250 dp dx Fig.4. variation of dp/dx with x for different values of L Fig.5. variation of dp/dx with x for different values of M at, M=1 at L=0 and the other parameter are  =1, K =0.1, d=2, Q=-1, a=0.7, b=1.2, L=0, =0.001, rF =.4, 8.)sin(  ,Re=10 0.2 0.4 0.6 0.8 x 100 100 200 300 400 500 600 dp dx 0.0 0.2 0.4 0.6 0.8 x 100 200 300 400 500 600 dp dx Fig.6. variation of dp/dx with x for different values of Fig.7. variation of dp/dx with x for different values of  at rF =.4 rF at  =0.001 and the other parameter are  =1, K =0.1, d=2, Q=-1, a=0.7, b=1.2, L=0, M=1, K =0.1, 8.)sin(  ,Re=10 4 3 2 1     r r r r F F F F 4 3 2 1     M M M M 4. 3. 2. 1.     L L L L 4 3 2 1        
  • 7. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 70 0.0 0.2 0.4 0.6 0.8 x 100 200 300 400 500 600 dp dx 0.0 0.2 0.4 0.6 0.8 x 100 200 300 400 500 600 dp dx  Fig.8. variation of dp/dx with x for different values Fig.9. variation of dp/dx with x for different values of )sin( at Re=10 of Re at 8.)sin(  and the other parameter are  =1, K =0.1, d=2, Q=-1, a=0.7, b=1.2, L=0, M=1, K =0.1, L =0.001, rF =.4 4 2 2 4 Q 20 20 40 p 4 2 2 4 Q 10 5 5 10 p Fig.10. variation of Q with p for different values Fig.11. variation of Q with p for different values of  at L=0.02 ,k=.2 of L at 2 ,k=.1000 and the other parameter are ,M=2,d=2,a=0.7,b=1.2, , 6/  ,y=1.4, rF =.4, 8.)sin(  ,Re=10 1)sin( 8.)sin( 4.)sin( 0)sin(         4Re 3Re 2Re 1Re     8.1 7.1 6.1 5.1         08. 04. 02. 0     L L L L
  • 8. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 71 4 2 0 2 4 Q 10 20 30 40 50 p 4 2 2 4 6 8 10 Q 10 5 5 10 p Fig.12. variation of Q with p for different values of K at Fig.13. variation of Q with p for different values of M at 2 ,M=2, 1 ,K=10, and the other parameter are , d=2,a=0.7,b=1.2,,L=0.04, 6    ,y=1.4, rF =.4, 8.)sin(  ,Re=10 4 2 2 4 Q 20 10 10 20 p 4 2 2 4 Q 20 10 10 20 p Fig.14. variation of Q with p for different values of Fig.15. variation of Q with p for different values of rF at 8.)sin(  )sin( at rF =.4, and the other parameter are 1 , K=10, d=2, M=2 ,a=0.7 ,b=1.2 ,L=0.04, 6/  , y=1.4 ,Re=10 5.2 2 5.1 1     K K K K 5.2 2 5.1 1     M M M M 1)sin( 8.)sin( 4.)sin( 0)sin(         4 3 2 1     r r r r F F F F
  • 9. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 72 1 2 3 4 5 Q 20 10 10 20 p 4 2 2 4 Q 20 10 10 20 p Fig.16. variation of Q with p for different Fig.17. variation of Q with p for different values of  at Re=10 values of Re at 6/  and the other parameter are 1 ,K=10,d=2,a=0.7,b=1.2,,L=0.04,M=2 ,y=1.4, rF =.4, 8.)sin(  3 2 1 0 1 2 U 0.1 0.2 0.3 0.4 0.5 Y 3 2 1 0 1 2 U 0.1 0.2 0.3 0.4 0.5 Y Fig.18. the velocity at Q=-1, a=0.7, b=1.2 , =0, x=1 Fig.19. the velocity at  =1, M=1, d=1, Q=-1, a=0.7, b=1.2 k=2, M=1, d=1, ,L=0.02 ,L=0.02, =0, x=1 4/ 3/ 2/         4Re 3Re 2Re 1Re     3 2 1       1 1. 01.    K K K
  • 10. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 73 3 2 1 0 1 2 U 0.1 0.2 0.3 0.4 0.5 Y 3 2 1 0 1 2 U 0.1 0.2 0.3 0.4 0.5 Y Fig.20.the velocity at =1, k=2, d=1, Q=-1, a=0.7, b=1.2,L=0.02, Fig.21. the velocity at =1, k=2, M=1, d=1, Q=-1, a=0.7,b=1.2,  =0, x=1 a=0.7,b=1.2,  =0, x=1 3 2 1 0 1 2 U 0.1 0.2 0.3 0.4 0.5 Y Fig.22. the velocity at =1,k=2,M=1,d=1,Q=-1,a=0.7,b=1.2,L=0.02,x=1 2 1 0 1 2 Y 0.5 1.0 1.5 2.0 2 1 0 1 2 Y 0.5 1.0 1.5 2.0 Fig.23.variation of temperature with Y for different Fig.24.variation of temperature  with Y for different value of L at  =1,k=1000,M=1,d=1.5,  =Pi/2, Q=1.4, value of Pr at  =1,k=1000,M=1,d=1.5,Q=1.4,  =Pi/2, a=0.5,b=1.2,x=1,Ec=1,Pr=1,L=.01, 1 =.3. a=0.5, b=1.2, L=.01, x=1,Ec=1, 1 =.3 3 2 1    M M M 3. 2. 1.       3. 2. 1.    L L L 08. 04. 01.    L L L 2Pr 1Pr 0Pr   
  • 11. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 74 3 2 1 0 1 2 Y 0.5 1.0 1.5 2.0 3 2 1 0 1 2 Y 0.5 1.0 1.5 2.0 Fig.25.variation of temperature  with Y for different Fig.26.variation of temperature  with Y for different value of M at  =1,k=1000,d=1.5,Q=1.4,a=0.5, value of Ec at,  =1, k=1000, M=1, d=1.5, Q=1.4, b=1.2,L=.01,  =Pi/2,x=1, Ec=1,Pr=1, 1 =.3 a=0.5, b=1.2, L=.01,  =Pi/2, x=1, Pr=1, 1 =.3 3 2 1 0 1 2 Y 0.5 1.0 1.5 2.0 3 2 1 0 1 2 Y 0.5 1.0 1.5 2.0 2.5 Fig.27.variation of temperature with Y for different Fig.28.variation of temperature with Y for different value of  at k=1000,M=1,d=1.5,Q=1.4,a=0.5,b=1.2,L=.01, value of 1 at =1, k=1000,M=1,d=1.5,Q=1.4,a=0.5,b=1.2,  =Pi/2 ,x=1,Ec=1,Pr=1, 1 =.3 L=.01, =Pi/2 ,x=1, Ec=1,Pr=1 3 5.1 1       3. 2. 1. 1 1 1       3 2 1    M M M 2 1 0    Ec Ec Ec
  • 12. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 75 a 1 1 0.8 0.8 0.8 0.8 0.6 0.6 0.6 0.6 0.4 0.40.4 0.4 0.2 0.20.2 0 0 0 0 0.2 0.4 0.4 0.6 0.6 0.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 b 1 1 0.8 0.8 0.8 0.8 0.6 0.60.6 0.6 0.4 0.40.4 0.4 0.2 0.20.2 0 0 0 0 0.2 0.2 0.2 0.4 0.4 0.6 0.60.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 c 11 0.8 0.8 0.8 0.8 0.6 0.6 0.6 0.6 0.4 0.4 0.4 0.4 0.20.2 0.20 0 0 0.2 0.2 0.2 0.4 0.4 0.4 0.4 0.6 0.6 0.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 Fig.29.stream line for different values of M.(a) M=.1,(b)M=1.5,(c)M=2 and the other parameters are  =3,k=0.2,d=1,Q=1.5,a=0.5,b=0.5,L=0.02, =0 a 0.80.8 0.6 0.6 0.4 0.4 0.2 0 0 0.2 0.4 0.4 0.6 0.6 0.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 b 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0 0 0.2 0.4 0.4 0.6 0.60.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 c 0.8 0.8 0.6 0.6 0.40.4 0.2 0 0.2 0.4 0.4 0.60.6 0.80.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 Fig.30.stream line for different values of L.(a)L=0.01,(b)L=0.04,(c)L=0.07 and the other parameters are  =1,k=0.2,d=1,Q=1.5,a=0.5,b=0.5, =0, M=2. a 1.251.25 1 1 0.750.75 0.5 0.5 0.25 0 0 0.25 0.5 0.5 0.75 0.75 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 b 0.6 0.6 0.4 0.4 0.2 0.2 0 0 0.20.2 0.4 0.4 0.6 0.6 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 c 0.6 0.6 0.4 0.4 0.2 0.2 0 0 0.2 0.2 0.2 0.40.4 0.6 0.6 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 Fig.31.stream line for different values of Q.(a) Q=1.45,(b)Q=1.6,(c)Q=1.8,and the other parameters are  =1,k=0.2,d=1,a=0.5,b=0.5, =0, M=2,L=0.02.
  • 13. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 76 a 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0 0 0.2 0.4 0.4 0.6 0.60.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 b 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0 0 0.2 0.4 0.4 0.6 0.6 0.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 c 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0 0 0.2 0.4 0.4 0.6 0.6 0.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 Fig.32.stream line for different values of .(a) =0, (b) =Pi/2,(c)= Pi/5 and the other parameters are  =1,k=0.2,d=1,Q=1.5,a=0.5,b=0.5,L=0.02, M=2. a 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0 0 0.2 0.4 0.4 0.6 0.60.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 b 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0 0.2 0.4 0.6 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 c 0.8 0.8 0.6 0.6 0.4 0.4 0.2 0 0 0.2 0.4 0.4 0.6 0.6 0.8 0.8 0.4 0.2 0.0 0.2 0.4 1.5 1.0 0.5 0.0 0.5 1.0 1.5 Fig.33.stream line for different values of .(a) =.5,(b) =2,(c)=2.4, and the other parameters are k=0.2,d=1,Q=1.5,a=0.5,b=0.5,L=0..02, M=2. 4. Conclusion we have discussed the influence of couple stress with heat transfer and magnetic field on the peristaltic flow of a non-Newtonian fluid with partial slip in inclined channel. the governing equations of motion and energy equation have been calculated under the assumptions of long wave length approximation The results are discussed through graphs. We have concluded the following observations: 1. The pressure gradient decreases with the increases in M. 2. The pressure rise decreases with the increases in Land increases when ,M and K increases 3. The velocity field increases with the increase in k and decreases with the increase in M, , L, . 4. an inclination of the channel does not effect on the velocity field and streamlines. 5. The temperature field decreases with the increase in L,M and ,while with the increase in Pr,Ec and 1 the temperature field increases. 6. The size of the trapping bolus decreases by increasing in L, M, . 7. The size of the trapping bolus increases by increasing Q. References 1. Ebaid, A., ‘‘Effects of Magnetic Field and Wall Slip Conditions on the PeristalticTransport of a Newtonian Fluid in an Asymmetric Channel,’’ Phys. Lett. A, 372,4586 (2008).
  • 14. Mathematical Theory and Modeling www.iiste.org ISSN 2224-5804 (Paper) ISSN 2225-0522 (Online) Vol.4, No.8, 2014 77 2. Elshahed, M. and M. H. Haroun, ‘‘Peristaltic Transport of Johnson–Segalman Fluidunder Effect of a Magnetic Field,’’ Math. Prob. Eng., 6, 663 (2003). 3. Elshehawey, E. F., E. M. E. Elbarbary, and N. S. Elgazery, ‘‘Effect of Inclined Magnetic ield on Magneto Fluid Flow through a Porous Medium between Two InclinedWavy Porous Plates,’’Appl. Math. Comput., 135, 85 (2003). 4. Haroun, M. H., ‘‘Effect of Deborah Number and Phase Difference on PeristalticTransport of a Third-order Fluid in an Asymmetric Channel,’’ Commun. NonlinearSci. Numer. Simulat., 12, 1464 (2007a). 5. Haroun, M. H., ‘‘Non-linear Peristaltic Flow of a Fourth grade Fluid in an InclinedAsymmetric Channel,’’ Comput. Mater. Sci., 39, 324 (2007b). 6. Kothandapani, M. and S. Srinivas, ‘‘Non-linear Peristaltic Transport of a NewtonianFluid in an Inclined Asymmetric Channel through a Porous Medium,’’ Phys. Lett. A,372, 1265 (2008). 7. Mekheimer, and Y. Abd Elmaboud, ‘‘The Influence of Heat Transfer and Magnetic Fieldon Peristaltic Transport of a Newtonian Fluid in a Vertical Annulus: an Applicationof an Endoscope,’’ Phys. Lett. A, 372, 1657 (2008a). 8. Mekheimer, Kh .S, ‘‘Effect of the Induced Magnetic Field on Peristaltic Flow of a CoupleStress Fluid,’’ Phys. Lett. A, 372, 4271 (2008b). 9. Nadeem, S. and N. S. Akbar, ‘‘Effects of Heat Transfer on the Peristaltic Transportof MHD Newtonian Fluid with Variable Viscosity: Application of AdomianDecomposition Method,’’ Commun. Nonlinear Sci. Numer. Simulat., 14, 3844(2009a). 10. Nadeem, S. and N. S. Akbar, ‘‘Influence of Heat Transfer on Peristaltic Transport ofHerschel–Bulkley Fluid in a Non-uniform Inclined Tube,’’ Commun. Nonlinear Sci.Numer. Simulat., 14, 4100 (2009b). 11. Srinivas, S. and M. Kothandapani, ‘‘The Influence of Heat and Mass Transfer on MHDPeristaltic Flow through a Porous Space with Compliant Walls,’’Appl. Math.Comput., 213, 197 (2009). 12. Srinivas, S. and V. Pushparaj, ‘‘Non-linear Peristaltic Transport in an Inclined AsymmetricChannel,’’ Commun. Nonlinear Sci. Numer. Simulat., 13, 1782 (2008). 13. Abd El Hakeem, Abd El Naby, A.E.M. El Misiery, Appl. Math. Comput. 128 (2002) 19. 14. T. Hayat, Y. Wang, A.M. Siddiqui, K. Hutter, S. Asghar, Math. Models Methods Appl. Sci. 12 (2002) 1691. 15. T. Hayat, A.H. Kara, E. Momoniat, Int. J. Non-Linear Mech. 38 (2003) 1533. 16. C. Fetecau, C. Fetecau, Z. Angew. Math. Phys. 56 (2005) 1098. 17. C. Fetecau, C. Fetecau, Int. J. Eng. Sci. 43 (2005) 781. 18. T. Hayat, A.H. Kara, Comput. Model. 43 (2006) 132. 19. T. Hayat, N. Ali, Physica A 371 (2006) 188. 20. T. Hayat, N. Ali, S. Asghar, Appl. Math. Comput. 186 (1) (2007) 309. 21. T. Hayat, N. Ali, Appl. Math. Comput. 193 (2) (2007) 535. 22. Mekheimer, Kh.S.: Effect of induced magnetic field on peristaltic flow of a couple stress fluid. Phys. Lett. A. 372, 4271–4278 (2008) 23. V.C.A. Ferraro, An Introduction to Magneto-Fluid Mechanics, Clarendon Press,Oxford, 1966. 24. N.S. Akbar, T. Hayat, S. Nadeem, Awatif A. Hendi, Effects of slip and heat transfer on the peristaltic flow of a third order fluid in an inclined asymmetric channel, Int. J. Heat Mass Transfer. 54 (2011) 1654–1664.
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