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MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
Soret-Dufour Effect on Variable Viscosity MHD Flow Through Porous
Medium
Mohammad Suleman Quraishi
1*
, Nidhi Pandya
2
1
Deparment of Mathematics, Acharya University, Karakul, Uzbekistan
2
Department of Mathematics & Astronomy, University of Lucknow, Lucknow, India
*Corresponding Author
DOI:
https://doi.org/10.51583/IJLTEMAS.2026.150500006
Received: 11 April 2026; Accepted: 16 April 2026; Published: 22 May 2026
ABSTRACT
In this paper we have explored the Soret and Dufour effects on unsteady viscous incompressible and electrically
conducting MHD flow through porous medium past an inclined infinite plate with variable viscosity fluid and
periodic suction or injection of fluid through the plate with exponential increment in temperature and
exponentially decrement in concentration. The developed or governing physical model of the flow field has been
converted into the mathematical model. Then mathematical model of system of equations is represented by set
of governing non linear partial differential equations which have been non dimensionalized by the help of non
dimensional numbers. The associated dimensionless governing equation of flow field is solved numerically by
Crank Nicolson finite difference implicit method for different values of governing flow parameters. The effects
of various responsible flow parameters have been discussed through graphs and table. The effects and their
numerical corresponding variations have been concord with physical nature of the problem. The velocity profile,
concentration profile and temperature profile are shown through graphs for different values of flow parameters.
The obtained numerical values of the skin friction, Nusselt number and Sherwood number with their variations
for different values of flow parameters have been tabulated.
Keywords: Soret-Dufour effects, variable viscosity, Periodic Suction or Injection, Crank Nicolson finite
difference implicit method.
INTRODUCTION
Soret-Dufour effect on MHD flows arises in many areas of engineering and applied physics. The studies of such
ow have application in MHD generators, chemical-engineering, nuclear reactors, geothermal energy, and
reservoir engineering and astrophysical studies. The assumption of the pure fluid is rather impossible in nature.
The presence of foreign mass in the fluid plays a vital role in flow of fluid. Thermal diffusion or Soret effect is
one of the mechanisms in the transport phenomena in which molecules are transported by temperature gradient
in a multi-component mixture driven. The inverse phenomena of thermal diffusion are known as Dufour effect,
if multi component mixture were initially at the same temperature, are allowed to diffuse into each other, there
arises a difference of temperature in the system. In this article we have explored the Soret and Dufour effects on
unsteady viscous incompressible and electrically conducting MHD flow through porous medium past an inclined
infinite plate with variable viscosity fluid and periodic suction or injection of fluid through the plate with
exponential increment in temperature and exponentially decrement in concentration. Sparrow and Cess (1961)
analyzed the effect of magnetic field on free convection heat transfer, Dursunkaya et al. (1992) studied Diffusion
thermo and thermal diffusion effect in transient and steady natural convection from vertical surface. Raptis et al.
(1999) discussed radiation and free convection flow past a moving plate. A. Postelnicu (2004) analyzed the
Influence of a magnetic eld on heat and mass transfer by natural convection from vertical surface in porous
media considering Soret and Dufour effects. Alam et al. (2005) Investigated Dufour effect and Soret effect on
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MHD free convective heat and mass transfer flow past a vertical flat plate embedded in porous medium. Bhavana
et al. (2013) analyzed the Soret effect on free convective unsteady MHD flow over a vertical plate with heat
source. Effect of Variable Permeability and Variable Magnetic field on MHD Flow past an inclined plate with
exponential Temperature and Mass Diffusion with Chemical reaction through Porous media by N. Pandya and
M. S. Quraishi (2018).
In all of these studies mentioned above the viscosity of the fluid was assumed to be constant. However, we
known that the physical property may change significantly. Therefore to predict correctly the flow behavior with
respect to variable fluid viscosity, it is necessary to view the variation of viscosity with dependent variable and
this variation would also play a vital rule.
The effect of temperature dependent viscosity in the boundary layer flow, heat and mass transfer is analyzed
Free Convection Flow over an Uniform-Heat-Flux Surface with Temperature-Dependent Viscosity by Jang, J.
-Y. and C. -N. Lin (1988). The Effect of Variable Viscosity on Flow and Heat Transfer to a Continuous Moving
Flat Plate by Pop I, R. S. R. Gorla and M. Rashidi (1992). Effects of Variable Viscosity and Viscous Dissipation
on the Flow of Third Grade Fluid in a Pipe by Massoudi, M. and I. Christie (1995). The Effect of Temperature-
Dependent Viscosity on Free-Forced Convective Laminar Boundary Layer Flow Past a Vertical Isothermal Flat
Plate by Kafoussias, N. G. and E. W. Williams (1995). Mixed Convection Boundary Layer Flow on a Continuous
Flat Plate with Variable Viscosity by Hady, F. M., A. Y. Bakier and R. S. R. Gorla (1995). Mixed Convection
Flow from a Vertical Flat Plate with Temperature Dependent Viscosity by Hossain, Md. A. and Md. S. Munir
(2000).
Flow of Viscous Incompressible Fluid with Temperature Dependent Viscosity and Thermal Conductivity Past a
Permeable Wedge with Uniform Surface Heat Flux by Hossain, Md. A., Md. S. Munir and D. A. S. Rees (2000).
Effect of Variable Viscosity on Free Convection over a Non-Isothermal axisymmetric Body in a Porous Medium
with Internal Heat Generation by Begai S. (2004). Plume Formation in Strongly Temperature-Dependent
Viscosity Fluid over a Very Hot Surface by Ke, Y. and V. S. Solomatov (2004). The Effect of Variable Viscosity
on Mixed Convection Heat Transfer along a Vertical Moving Surface by Ali, M. E. (2006). The Influence of
Variable Viscosity and Viscous Dissipation on the Non-Newtonian Flow: Analytical Solution by Hayat, T., R.
Ellahi and S. Asghar (2007). Variable Viscosity Effects on Hydromagnetic Boundary Layer Flow along a
Continuously Moving Vertical Plate in the Presence of Radiation by Mahmoud, M. A. A. (2007).
Effect of Variable Viscosity on Combined Forced and Free Convection Boundary-Layer Flow over a Horizontal
Plate with Blowing or Suction by Mahmoud M. A. A. (2007). Effect of Variable Viscosity on the Peristatic
Transport of a Newtonian Fluid in an Symmetric Channel by Hayat T. and N. Ali (2008). Effect of Thermal
Radiation and Variable Fluid Viscosity on Free Convective Flow and Heat Transfer Past a Porous Stretching
Surface by Mukhopadhyay S. and G. C. Layek (2008).
Thermal Radiation Effect on Unsteady MHD Free
Convection Flow Past a Vertical Plate with Temperature-dependent Viscosity by Mostafa A. A. Mahmoud
(2009).
Analysis of mhd carreau fluid flow over a stretching permeable sheet with variable viscosity and thermal
conductivity by
Tariq Abbas and et al. (2020). Analytical treatment of MHD flow and chemically reactive
Casson fluid with Joule heating and variable viscosity effect by Haroon Ur Rasheed and et al. (2022). Siti
Suzilliana Putri Mohamed Isa and et al. (2023) have discussed Soret-Dufour Effects on Heat and Mass Transfer
of Newtonian Fluid Flow over the Inclined Sheet and Magnetic Field.
The object of this work is to investigate the effect of Soret and Dufour with variable fluid viscosity so we have
set the viscosity as a function of dependent variable distance from the plate so that viscosity depends upon
distance from the plate on MHD unsteady flow over an inclined infinite plate through porous medium with
periodic suction or injection of fluid through the plate. Heat and mass transfer have been taken exponentially
increasing and decreasing respectively. The dimensionless governing equation of flow field is solved
numerically by Crank Nicolson finite difference implicit technique for different values of governing flow
parameters. The velocity profile, concentration profile and temperature profile are shown through graphs for
different values of flow parameters.
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Table 1: Nomenclature
α
1
Some
constant for viscosity parameter
u
The velocity of fluid in x direction
g
Gravitational acceleration due to gravity
β
The volumetric coefficient of thermal expansion
β
*
Coefficient of volume expansion for mass transfer
ν
Kinematic viscosity of ambient fluid
µ
Ambient viscosity of the fluid
ρ
Ambient fluid density
B
Magnetic parameter
K
Permeability of porous medium
σ
Electrical conductivity of the fluid
T
Dimensional temperature
T
Temperature of ambient fluid
C
Concentration of ambient fluid
D
Mass diffusion coefficient
D
m
Effective chemical molecular diffusivity,
D
T
Thermal diffusion coefficient
k
Thermal conductivity of the fluid
C
P
Specific heat at constant pressure
K
T
Thermal diffusion ratio
C
Dimensional concentration.
T
w
Temperature on plate
C
w
Concentration on plate
Governing Mathematical Model
An unsteady flow of a variable viscosity of incompressible electrically conducting fluid initially at rest past
infinite inclined plate with constant temperature and constant mass diffusion in the presence of magnetic field
with periodic suction or injection are studied. Since viscosity may depends on flow parameters like pressure,
Temperature etc. In this work Velocity, Temperature and Mass transfer are varying here with the distance from
plate so we have taken viscosity as a function of distance which exponentially decreases with distance from
plate.
The plate is inclined at angle ‘λ’ from vertical, through porous medium. x-axis is taken along the plate and
y-axis is taken normal to it. Since the plate is electrically non conducting so induce magnetic field is neglected.
Initially the plate and fluid are at the same temperature and concentration level is zero and plate is at rest.
Now at time t > 0, the plate is at rest along x-direction against gravitational field, y-axis is normal to the plate,
the plate temperature and concentration raised exponentially increasing and decreasing respectively. A
transverse magnetic field of uniform strength B is assumed normal to the direction of flow. The transversely
applied magnetic field and magnetic Reynolds numbers are very small and hence induced magnetic eld is
negligible, Cowling (1957). Due to infinite length in x-direction, the flow variables are functions of y and t only.
Under the above consideration, governing equations for this unsteady problem by the help of Navier-Stokes
equations are given by
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Momentum equation
)(0
0
constantavv
y
v
Since
y
u
y
y
u
y
u
y
2
2
, therefore above equation becomes
K
uuB
CCCosgTTCosg
y
u
y
y
u
y
u
v
t
u
2
*
2
2
)()(
1
(1)
Energy equation
2
2
2
2
y
C
c
KD
y
T
k
y
T
v
t
T
C
s
Tm
p
(2)
Equation of mass transfer
2
2
2
2
y
T
T
KD
y
C
D
y
C
v
t
C
m
Tm
(3)
Where
y
e
1
(4)
As per the modeled flow governing equations (1) to (4), Velocity, Temperature and Mass transfer are the
functions with respect to dependent variable y, that is with respect to the distance from plate. Temperature is
taken exponentially decreasing with time. Moreover variable viscosity has been considered as a function of
distance that is viscosity exponentially decreases with distance from plate. Concentration has been taken
exponentially decreasing.
Considering the suction or injection velocity
0
v
as a periodic function of time define as
AtCosv 1
0
. Where
(<<1) is the amplitude of suction or injection velocity and A is some constant.
Where α
1
is some constant for viscosity parameter, u is the velocity, g is the acceleration due to gravity, β is the
volumetric coefficient of thermal expansion, β
*
is the coefficient of volume expansion for mass transfer, ν is the
kinematic viscosity of ambient fluid, µ
is ambient viscosity, ρ
is the ambient fluid density, B is magnetic
parameter, K is the permeability of porous medium, σ is the electrical conductivity of the fluid, T is the
dimensional temperature,
T
is temperature of ambient fluid, C
is concentration of ambient fluid, D is mass
diffusion coefficient, D
m
is effective chemical molecular diffusivity, D
T
is thermal diffusion coefficient, k is the
thermal conductivity of the fluid , C
P
is specific heat at constant pressure, K
T
is thermal diffusion ratio, C is the
dimensional concentration. T
w
and C
w
are the temperature and concentration on plate. Initial and boundary
conditions are given as:
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yasCC,TT,u
yate)CC(CC,e)TT(TT,u;t
yC,TtACosv,u;t
AtAt
ww
0
000
00100
0
(5)
In order to form a non dimensional partial differential equation, introducing following non dimensional
quantities:
2
0
0
1
2
0
2
2
2
0
3
0
3
0
0
2
0
0
u
A,
)TT(cc
)CC(KD
D,
u
,,
u
B
M
,
k
C
P,
)CC(T
)TT(KD
S,K
u
K,
D
S,
u
)TT(g
G
,
u
)CC(g
G,
CC
CC
C,
TT
TT
,
uy
y,
ut
t,
u
u
u
wps
wTm
u
p
r
wm
wTm
rc
w
r
w
*
m
ww
(6)
G
r
, G
m
, S
r
, D
u
, S
c
, P
r
and M are Thermal Grashof number, Solutal Grashof number, Soret number, Dufour
number Schmidt number, Prandtl number and Magnetic parameter respectively. Where A is some constant.
By the substitution of above non dimensional quantities we get the non dimensional form of equations (1) to (5)
as:
K
u
uMCosCGCosG
y
u
y
u
y
y
u
tCos
t
u
mr
2
2
)1(
(7)
2
2
2
2
1
)1(
y
C
D
y
Py
tCos
t
u
r
(8)
2
2
2
2
1
)1(
y
S
y
C
Sy
C
tCos
t
C
r
c
(9)
And
)( yExp
(10)
The initial and boundary condition Eq. (5) in non dimensional form as following:
yasCu
yateCeut
yCut
tt
0,0,0
0,,0;0
0,0,0;0
(11)
For the sake of convenience dropping the bars from equations (7) to (11) then we have the system as
K
u
yuMCosCGCosG
y
u
y
u
yy
u
tCos
t
u
mr
)()1(
2
2
(12)
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2
2
2
2
1
)1(
y
C
D
y
Py
tCos
t
u
r
(13)
2
2
2
2
1
)1(
y
S
y
C
Sy
C
tCos
t
C
r
c
(14)
and
)( yExp
(15)
With initial and boundary conditions as
yasCu
yateCeut
yCut
tt
0,0,0
0,,0;0
0,0,0;0
(16)
Now, it is useful to calculate physical quantities for primary interest, these are coefficient of skin-friction ‘τ
at
the wall along x-axis, Nusselt number Nu and Sherwood number Sh. Dimensionless forms of these physical
quantities are:
0
y
y
u
,
0
y
y
Nu
,
0
y
y
C
Sh
(17)
METHOD OF SOLUTION
Equations (12) to (14) are non-linear partial differential equations, are solved using initial boundary conditions
Eq. (16), it is solved here by Crank-Nicolson implicit finite difference method for numerical solution. By this
method the transform form of Equations (12) to (14) in form of finite differences with indices are expressed as:
2
1
2
1
2
1
2
11
2
111
2
111
2
1
1
1
1
2
j,i
u
j,i
u
K
]y[Exp
j,i
u
j,i
u
M
j,i
C
j,i
C
Cos
m
G
j,ij,i
Cos
r
G
y
j,i
u
j,i
u
]y[Exp
)y(
j,i
u
j,i
u
j,i
u
j,i
u
j,i
u
j,i
u
]y[Exp
y
j,i
u
j,i
u
)tCos(
t
j,i
u
j,i
u
(18)
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2
2
)(2
1,11,
2
1,1,1,
2
,1
1
)(2
1,11,
2
1,1,1,
2
,1
,,1
)1(
,1,
y
jijijijijiji
r
P
y
ji
C
ji
C
ji
C
ji
C
ji
C
ji
C
D
y
jiji
tCos
t
jiji
u
(19)
2
2
)(2
1,11,
2
1,1,1,
2
,1
)(2
1,11,
2
1,1,1,
2
,1
1
,,1
)1(
,1,
y
jijijijijiji
S
y
ji
C
ji
C
ji
C
ji
C
ji
C
ji
C
c
S
y
ji
C
ji
C
tCos
t
ji
C
ji
C
r
(20)
Corresponding boundary and initial conditions form Equation (16) are now as:
000
0
000
000
000
j,n
j,nj,n
t*j
j,
t*j
j,j,
,i,i,i
C,,u
jeC,e,u
iC,,u
(21)
Here, index irefers to y and j to time,
jj
ttt
1
and
ii
yyy
1
. For known values of u, θ and C at
t, we calculate these values for (t + t) as follows, after substitution of i and j =1, 2, 3… n-1, where ‘n
corresponds to ∞. Now system of equations (19) and (20) are solved by Thomas Algorithm as discussed in
Carnahan et al. (1969). Then θ and C are known for all values of y at t+∆t.
Replacing values of θ and C in equation (18) and solved by same with initial and boundary conditions (21), we
have solutions for u till desired time t. Crank-Nicolson implicit finite difference method is second order method
(o (∆t
2
)) in time also and has no limitation for space and time steps, that is, the method is unconditionally stable.
Computation has been executed for ∆y = 0.1, ∆t = 0.002 and repeated till y (max) =4, y (max) is corresponds to
infinity.
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Fig. 1. Velocity Profile for different values of ‘M’
Fig. 2. Velocity Profile for different values of ‘S
r
Fig. 3. Velocity Profile for different values of Gr’
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
K = 0.4,
= 0.2,
= 0.1
y
u
M = 2, 4, 6
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
= 0.1
=
30
, t = 0.2,
K = 0.4,
= 0.2,
M=2,
S
r
0.4, 0.6, 0.8
u
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
K = 0.4,
= 0.2,
M=2,
= 0.1
u
y
G
r
20, 25, 30
0
1
2
3
4
0.0
0.5
1.0
1.5
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Fig. 4. Velocity profile for different values of Du’
Fig. 5. Temperature Profile for different values of ‘Du’
Fig. 6. Concentration Profile for different values of ‘S
r
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
= 0.1
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
K = 0.4,
= 0.2,
M=2
D
u
0.2, 0.4, 0.6
u
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
= 0.1
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
K = 0.4,
= 0.2,
M=2
D
u
0.2, 0.4, 0.6
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01, = 0.1
=
30
, t = 0.2,
K = 0.4,
= 0.2,
M=2
S
r
0.4, 0.6, 0.8
C
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
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Fig. 7. Velocity profile for different value of ‘Gm’
Fig. 8. Velocity profile for different value of ‘t’
Fig. 9. Temperature profile for different values of ‘t’
G
r
= 20,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
K = 0.4,
= 0.2,
M=2,
= 0.1
G
m
25, 30, 35
u
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, K = 0.4,
= 0.2, M=2,
= 0.1
t
0.1, 0.2, 0.3, 0.4
u
y
0
1
2
3
4
0.0
0.5
1.0
1.5
2.0
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, K = 0.4, = 0.2, M=2,
= 0.1
t
0.1, 0.2, 0.3, 0.4
y
0
1
2
3
4
0.0
0.5
1.0
1.5
2.0
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Fig. 10. Concentration profile for different values of ‘t’
Fig. 11. Velocity profile for different positive values of ‘α’
Fig. 12. Velocity profile for different negative value of ‘α’
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, K = 0.4,
= 0.2, M=2,
= 0.1
C
y
t
0.1, 0.2, 0.3, 0.4
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
K = 0.4, M=2,
= 0.1
0.2, 0.7, 1.2
u
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
K = 0.4, M=2,
= 0.1
0.2, 0.7, 1.2
u
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
Fig. 13. Velocity profile for different values of K’
Fig. 14. Velocity profile for different value of ‘λ’
Fig. 15. Velocity profile for different value of ‘Pr
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
= 0.2,
= 0.1
u
y
K
0.4, 0.6, 0.8
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
G
r
= 20,
G
m
= 25,
P
r
= 0.71,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4
= 0.1, t = 0.2
K = 0.4,
= 0.2
M=2
30
, 45
, 60
u
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
G
r
= 20,
G
m
= 25,
M=2,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
K = 0.4,
= 0.2,
= 0.1
P
r
0.71, 2, 2.5
u
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
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Fig. 16. Temperature profile for different value of ‘Pr
RESULTS AND DISCUSSION
In this paper we studied Soret and Dufour effects on MHD flow through porous medium past an inclined infinite
plate with variable viscosity fluid and periodic suction or injection of fluid through the plate with exponential
increment in temperature and exponentially decrement in concentration. The dimensionless governing equation
of flow field is solved numerically by Crank Nicolson finite difference implicit method for different values of
governing flow parameters. The effects of various flow parameters discussed through graphs and table. The
velocity profile, concentration profile and temperature profile shown through graphs for different values of flow
parameters. The consequences of the relevant parameters break down the flow field and discussed with the help
of graphs of velocity profile, temperature profiles and concentration profiles.
Fig. 2, 3, 4, 7, 8, 11 and 13 depicts that the velocity ‘u’ increases with increase in S
r
,
Gr , Du , G
m
, t, α and K.
Fig. 1, 12, 14 and 15 show that velocity decreases with increase in M,- α, λ and P
r
.
Temperature profile θ in Fig.
5 and 9 show increment with increase in G
m
and t respectively while Temperature decreases with increase in P
r
.
Concentration profile ‘C’ increases with S
r
in Fig. 6 and decreases with ‘ t’ Fig.10
Table 2. Depicts that increase in G
r
, G
m
,α, S
r
, t , K and D
u
the Skin friction coefficient ‘τ’ increases while
increase in M, P
r
, λ and - α then Skin friction ‘τ’ decreases.
Table 2. Also shows that increase in P
r
and S
r
, Nusselt Number ‘Nu’ increases while it decreases with increase
in D
u
. Nusselt number first decreases and then increases with respect to time. Sherwood Number ‘Sh’ increases
with increase in D
u
while it decreases with increase in P
r
, S
r
and t.
CONCLUSION
This study investigated the MHD flow through a porous medium past an inclined infinite plate, accounting for
Soret and Dufour effects with variable viscosity and periodic suction/injection. The governing equations were
solved using the Crank-Nicolson implicit finite difference method. The following conclusions are drawn from
the results:
Flow Field Characteristics (Velocity Profile)
Enhancement of Flow: The fluid velocity u increases significantly with an increase in the Soret number,
Dufour number, Grashof number Gr Solutal Grashof number Gm. This is attributed to the enhancement of
thermal and solutal buoyancy forces. Additionally, an increase in the permeability parameter K reduces
Darcian resistance, therefore the flow accelerates.
P
r
0.71, 2, 2.5
G
r
= 20,
G
m
= 25,
M= 2,
D
u
= 0.2
S
c
= 2.01,
S
r
=0 .4,
=
30
, t = 0.2,
K = 0.4,
= 0.2,
= 0.1
y
0
1
2
3
4
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue V, May 2026
Retardation of Flow: The velocity is found to decrease with an increase in the magnetic parameter M,
Prandtl number Pr, and inclination parameter λ. The decrease with M is due to the development of the
resistive Lorentz force, which acts as a drag against the fluid motion.
Variable Viscosity Effect: The study reveals that the fluid velocity is highly sensitive to viscosity changes.
As the viscosity parameter α increases or decreasesrepresenting a decrease or increase in the fluid's
internal resistancethe velocity profile shows a marked increment or decrement. This confirms that treating
viscosity as a variable rather than a constant is essential for accurately predicting the flow behavior of real
fluids properties.
Thermal and Concentration Distributions
Temperature Profile: The temperature of the fluid increases with higher values of the Dufour number diffusion-
thermo effect and time. Conversely, an increase in the Prandtl number leads to a thinning of the thermal boundary
layer, resulting in decreased fluid temperature.
Concentration Profile: The concentration increases with the Soret number due to thermo-diffusion effects and
decreases with time.
Surface Gradients (Skin Friction, Nusselt, and Sherwood Numbers)
Skin Friction: The skin friction coefficient at the plate increases with higher values of Gr, Gm, Sr, Du, and K,
reflecting the acceleration of the fluid near the boundary. It decreases with increasing magnetic field strength M
and Prandtl number Pr.
Nusselt number: The Nusselt number increases with Pr and Sr, indicating enhanced heat transfer at the surface.
However, it decreases as the Dufour number Du increases.
Sherwood number: The Sherwood number is enhanced by the Dufour effect but is suppressed by an increase
in the Prandtl number, Soret number, and time. This highlights the strong coupling between heat and mass
diffusion in the presence of cross-diffusion effects.
Conflicts of Interest: The authors declare no conflicts of interest.
We are thankful to reviewers and Editors of the journal, and software company (Mathematica) for developing
the techniques that help in the computation and editing. There is no financial support for this research from any
organization from anywhere.
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Table 2: Skin friction coefficient τ, Nusselt number Nu and Sherwood number Sh for different values of
parameters
Gr
Gm
α
M
Pr
Sr
λ
t
K
Du
τ
Nu
Sh
20
25
0.2
2
0.71
0.4
300
0.2
0.4
0.2
6.77909
1.71408
1.26437
25
25
0.2
2
0.71
0.4
300
0.2
0.4
0.2
7.73222
1.71408
1.26437
30
25
0.2
2
0.71
0.4
300
0.2
0.4
0.2
8.68536
1.71408
1.26437
20
30
0.2
2
0.71
0.4
300
0.2
0.4
0.2
7.37239
1.71408
1.26437
20
35
0.2
2
0.71
0.4
300
0.2
0.4
0.2
7.96570
1.71408
1.26437
20
25
0.7
2
0.71
0.4
300
0.2
0.4
0.2
7.11135
1.71408
1.26437
20
25
1.2
2
0.71
0.4
300
0.2
0.4
0.2
7.41848
1.71408
1.26437
20
25
0.2
4
0.71
0.4
300
0.2
0.4
0.2
6.34006
1.71408
1.26437
20
25
0.2
6
0.71
0.4
300
0.2
0.4
0.2
5.95834
1.71408
1.26437
20
25
0.2
2
2.00
0.4
300
0.2
0.4
0.2
6.05806
3.22211
0.424553
20
25
0.2
2
2.50
0.4
300
0.2
0.4
0.2
5.91942
3.74963
0.105401
20
25
0.2
2
0.71
0.6
300
0.2
0.4
0.2
7.07635
1.75024
0.956001
20
25
0.2
2
0.71
0.8
300
0.2
0.4
0.2
7.38356
1.78967
0.622159
20
25
0.2
2
0.71
0.4
450
0.2
0.4
0.2
5.53510
1.71408
1.26437
20
25
0.2
2
0.71
0.4
600
0.2
0.4
0.2
3.91391
1.71408
1.26437
20
25
0.2
2
0.71
0.4
300
0.1
0.4
0.2
4.63594
1.86770
2.09706
20
25
0.2
2
0.71
0.4
300
0.3
0.4
0.2
8.25896
1.75878
0.795038
20
25
0.2
2
0.71
0.4
300
0.4
0.4
0.2
9.45491
1.87330
0.453853
20
25
0.2
2
0.71
0.4
300
0.2
0.6
0.2
6.96962
1.71408
1.26437
20
25
0.2
2
0.71
0.4
300
0.2
0.8
0.2
7.06911
1.71408
1.26437
20
25
0.2
2
0.71
0.4
300
0.2
0.4
0.4
6.88755
1.56573
1.35475
20
25
0.2
2
0.71
0.4
300
0.2
0.4
0.6
7.00158
1.38527
1.46660
20
25
-0.2
2
0.71
0.4
300
0.2
0.4
0.2
6.49224
1.71408
1.26437
20
25
-0.7
2
0.71
0.4
300
0.2
0.4
0.2
6.10267
1.71408
1.26437
20
25
-1.2
2
0.71
0.4
300
0.2
0.4
0.2
5.67172
1.71408
1.26437