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© 2019, IJSRMSS All Rights Reserved 55
International Journal of Scientific Research in ______________________________ Research Paper . Mathematical and Statistical Sciences
Vol.6, Issue.3, pp.55-78, June (2019) E-ISSN: 2348-4519
DOI: https://doi.org/10.26438/ijsrmss/v6i3.5578
The numerical analysis of the effect of suction, slip and inclination, on the
non-Darcy MHD flow of a Casson fluid over a nonlinearly stretching sheet
in a porous medium
Bhim Sen Kala
Doon University, Dehradun, 248001, Uttarakhand, India.
Corresponding author: [email protected] ;
Available online at: www.isroset.org
Received: 02/May/2019, Accepted: 11/Jun/2019, Online: 30/Jun/2019
Abstract--In this paper, we have studied the numerical analysis of the effect of suction, slip and inclination, on the non-
Darcy MHD flow of a Casson fluid over a nonlinearly stretching sheet in a porous medium. In the mathematical model,
using similarity variables, the momentum, energy and concentration equations are transformed to non-dimensional ordinary
differential equations. And then these are solved numerically using bvp4c method, a Matlab in- built bvp4c-programm. A
discussion for the effects of the parameters involved on the boundary layer regions and the magnitude of the velocity,
temperature and concentration and Local skin friction, Local Nusselt Number and Local Sherwood Number have been done
graphically and numerically using figures and tables.
Keywords: Casson fluid; magnetic parameter; darcy parameter; slip parameters; forchheimrer parameter; power index
parameter.inclination parameter, suction parameter.
Mathematics Subject Classification: 35A22, 35A35, 35A99, 35G20, 35G30
Nomenclature
x and y are Cartesian coordinates[m]
u velocity components along the x- axes[m/s]
velocity components along the y-axes[m/s]
B magnetic field,
0B magnetic constant
dK permeability parameter[m2]
Fs Forchheimer parameter,
density of the fluid [kg m-3
]
kinematic viscosity of the fluid [m2 s
-1]
dynamic viscosity of the fluid [kg m-1
s-1
]„
B plastic dynamic viscosity fluid
yp yield stress of fluid
),( jie ji -th component of deformation rate
pK non- dimensional Permeability parameter
bC non- dimensional Forchheimer coefficient
Grashof number,
Gc solutal Grashof number,
* buoyancy parameter,
solutal buoyancy parameter,
cK chemical reaction parameter
Su velocity slip
w wall mass transfer velocity
Vs Velocity slip parameter
n stretching surface power index parameter. )(xT
temperature at the surface
Gr
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product of deformation rate
T coefficient of thermal expansion
C coefficient of mass expansion
chemical reaction rate of the solute
acceleration due to gravity
T thermal diffusivity of the fluid
pC specific heat at constant pressure
k thermal conductivity of the fluid
D mass diffusion coefficient
similarity variable,
stream function [m2 s
-1]
f non- dimensional stream function
S suction( blowing) parameter
Casson fluid parameter,
n stretching power index parameter.
inclination parameter
M non- dimensional Magnetic parameter
wu surface stretching speed,
wT initial temperature of the surface
0T proportionality constant
y
T
temperature gradient term
)(xC concentration at the surface
wC initial concentration of the surface
0C proportionality constant
y
C
concentration gradient term
T ambient temperature
C ambient concentration
fC local skin-friction
fRe Reynold number.
w Shearing stress
xNu local Nusselt number
xSh local Sherwood number
I. INTRODUCTION
Fluid flow over a stretching sheet has many important
applications: in polymer sheet manufacturing, in chemical
engineering, and in metal processing in metallurgy etc.
Crane [1] first initiated the study of flow of Newtonian
viscous incompressible fluid over a linearly stretching sheet.
He investigated the flow of viscous incompressible fluid
along a stretching plate whose velocity is proportional to the
distance from the slit; such situation occurs in drawing of
plastic films. The study was extended to non-Newtonian
fluids by many researchers. Rajagopal [2] studied the flow
of viscous incompressible fluid on moving (stretching)
surface in the boundary layer region.
Ishak et al. [3] investigated the MHD flow of viscous
incompressible fluid along a moving wedge under the
condition of suction and injection.
Non –Newtonian types of flow occurs in the drawing of
plastic films and artificial fibres. The moving fibre
produces a boundary layer in the medium. Surrounding
medium of the fibre is of technical importance; in that it
governs the rate at which the fibre is cooled and this in turn
affects the final properties of the yarn. Some of the studies
on non-Newtonian fluid are as follows.
Siddappa et al. [4] investigated the flow of visco-elastic fluid
(a non-Newtonian fluid) of ‘Walters’s liquid B Model’ for
the boundary layer flow past a stretching plate. Andersson
[5] investigated the flow of viscoelastic fluid along a
stretching sheet in the presence of transverse magnetic field.
Dandapat [6] investigated the effect of transverse magnetic
field on the stability of flow of viscoelastic fluid over a
stretching sheet.
Fang [7] studied that variable transformation method can be
used to get the solution of extended Blasius equation from
original Blasius equation. Mamaloukas et al. [8] have
discussed some alike nature of free-parameter method and
separation of variable method and have found exact solution
of equation representing flow of two-dimensional visco-
elastic second grade fluid over a stretching sheet. Khidir [9]
used spectral homotopy perturbation method and successive
K
g
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linearization method to solve Falker-Skan equation (A non-
linear boundary value problem).
Bataller [10] investigated the flow in the boundary layer of
the viscous incompressible fluid under two situations: one
about a moving plate in a quiescent ambient fluid (Sakiadis
flow) and another uniform free stream flow over a resting
flat-plate (Blasius flow).
Motsa, et al. [11] investigated the MHD boundary layer flow
of upper-convected Maxwell (UCM) fluid over a porous
stretching surface. Motsa et al. [12] had analysed the MHD
flow of viscous incompressible fluid over a nonlinearly
stretching sheet. Rosca [13] discussed the flow of viscous
electrically conducting fluid over a shrinking surface in the
presence of transverse magnetic field.
Nadeem et al. [14] investigated the MHD boundary layer
flow of Williamson fluid over a stretching sheet.
Mukhopadhyay [15] analysed the axis symmetric boundary
layer flow of viscous incompressible fluid along a stretching
cylinder in the presence of uniform magnetic field and under
partial slip conditions. Akbar et al. [16] investigate the MHD
boundary layer flow of Carreau fluid over a permeable
shrinking sheet.
Nadeem et al. [17] investigated the MHD boundary layer
flow of a Casson fluid over an exponentially shrinking sheet.
Biswas et al. [18] studied the effects of radiation and
chemical reaction on MHD unsteady heat and mass transfer
of Casson fluid flow past a vertical plate. Ahmmed et al.
[19] analysed the unsteady MHD free convection flow of
nanofluid through an exponentially accelerated inclined
plate embedded in a porous medium with variable thermal
conductivity in the presence of radiation. Biswas et al. [20]
investigated the effects of Hall current and chemical reaction
on MHD unsteady heat and mass transfer of Casson
nanofluid flow through a vertical plate.
Noor et al. [21] investigated the hall current and
thermophoresis effects on MHD mixed convective heat and
mass transfer thin film flow. Sharada et al. [22] studied
MHD mixed convection flow of a Casson fluid over an
exponentially stretching surface with the effects of soret,
dufour, thermal radiation and chemical reaction.
Mukhopadhyay et al. [23] investigated exact solutions for
the flow of Casson fluid over a stretching surface with
transpiration and heat transfer effects. Dahakeand etal.,[24]
have analysed effects of radiation on magnetohydrodynamic
convection flow past an impulsively started vertical plate
submersed in a porous medium with suction.
Anyanwu [25] have described slip boundary condition
effects on the rate of heat transfer in a micro channel
including viscous dissipation..
Kala [26] studied the analysis of non-Darcy MHD flow of a
Casson fluid over a non-linearly stretching sheet with partial
slip in a porous medium.
This work is the extension of the work [26] in which
analysis of non-Darcy MHD flow of a Casson fluid over a
non-linearly stretching sheet with partial slip in a porous
medium is studied.
This work deals with the numerical analysis of the effect of
suction, slip and inclination, on the non-Darcy MHD flow of
a Casson fluid over a nonlinearly stretching sheet in a porous
medium.
II. MATHEMATICAL MODELLING
We consider steady two-dimensional laminar boundary-layer
flow of viscous, incompressible, electrically conducting non-
Newtonian Casson fluid in a saturated homogeneous non-
Darcy porous medium caused by nonlinearly stretching
sheet, which is inclined with an acute angle ( ) to the
vertical , placed at the bottom of the porous medium. The x-
axis is taken along the stretching surface in the direction of
the motion while the y-axis is normal to the surface. A
Cartesian coordinate system is used. The 𝑥-axis is along the
direction of the continuous stretching surface (the sheet) and
y-axis is normal to the 𝑥-axis. The sheet is assumed to be
stretched along the 𝑥-axis, keeping the position of the origin
unaltered and stretching velocity varies nonlinearly with the
distance from the origin. A uniform magnetic field of
strength B is applied normal to the sheet.
It is assumed that the fluid is optically dense, non-
Newtonian, and without phase change. Flow region is in
non-Darcy porous medium. This integrates a linear Darcian
drag for low velocity effects (bulk impedance of the porous
matrix at low Reynolds numbers) and a quadratic (second
order) resistance, the Forchheimer drag force, for high
velocity flows, as may be come across in chemical
engineering systems operating at higher velocities.
Brinkman’s equation takes into account the boundary effects
(the viscous force).
It is assumed that the induced magnetic field, the external
electric field and the electric field due to polarization of
charges are negligible in comparison to the applied magnetic
field. So, all of the Hall effects and Joule heating effects are
neglected.
The viscosity and thermal conductivity of the fluid are
assumed to be constant. The temperature and concentration
of the stretching surface are always greater than their free
stream values.
Under these assumptions the rheological equation for
incompressible flow of Casson fluid is given by (Sharada et
al. [22], Mukhopadhyay et al. [23])
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c
c
y
Bjiji
c
y
Bjiji
ifp
e
ifp
e
22
22
Where is the dynamic viscosity, B is plastic dynamic
viscosity of the non-Newtonian fluid, yp is the yield stress
of fluid, is the product of the component of deformation
rate with itself, namely, jiji ee and jie is the
),( ji -th component of the deformation rate. c is critical
value of the product based on the non- Newtonian model.
The flow configuration and the coordinate system are shown
in Figure 1.
Under these assumptions, the governing boundary layer
equations for momentum, energy and mass take the
following form:
Figure 1 Physical model and coordinate system (for
stretching sheet)
The equation of continuity:
0
y
v
x
u
(1)
The Equation of Momentum:
2
2
0
2
2
cos))()((
11
uK
Cu
Ku
B
CCTTg
y
u
y
uv
x
uu
d
b
df
CT
(2)
The Equation of Energy:
2
2
y
T
y
Tv
x
Tu
(3)
The Equation of Mass concentration:
(4)
where, the sign refers to the cases of assisting and
opposing flow (here we shall consider the case of assisting
flow which is shown by positive sign), x and y are
cartesian coordinates along the stretching sheet and normal
to it respectively, u and v are the velocity components
along the x - and y -axes, dK is the permeability of the
porous medium, B is magnetic field, bC is Forchheimer
coefficient, is angle of inclination of the surface with the
vertical, is the Casson fluid parameter, , and
are density, kinematic viscosity and dynamic viscosity of
the fluid respectively. T , C and K are the
coefficient of thermal expansion, the coefficient of mass
expansion and the chemical reaction rate of the solute,
respectively, g is acceleration due to gravity,
p
TC
k
is the thermal diffusivity of
the fluid pC is the specific heat at constant pressure, k is
the thermal conductivity of the fluid, and D is mass
diffusion coefficient.
The strength of the magnetic field is assumed to vary
spatially by 2/)1(
0)( nxBxB where 0B is constant.
The sheet is assumed to move with power law velocity, and
varies nonlinearly in spatial coordinates with some index, in
the boundary layer region, so that relevant velocity boundary
conditions for equations (1) to (4) are as follows:
CCK
y
CD
y
Cv
x
Cu
c
2
2
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.,,
,0:
;)(
,)(
,)(
,
)(:0
0
0
CCTT
uyAs
y
CCCxC
y
TTTxT
xxVvv
y
uNxc
uuxUuyAt
w
w
w
n
ww
(5)
where uw is the surface velocity of the sheet with n
w xcu
where c is a constant parameter related to the surface
stretching speed, Su is the velocity slip which is assumed to
be proportional to the local shear stress as follows:
y
upN
y
uNu yBS
2/ , where N
(m2 s kg
-1) is the slip constant. 2/yB p is
dynamic viscosity. yB p/2 is Casson fluid
parameter . wv is the wall mass transfer velocity with
0wv for mass suction and 0wv for mass injection. n
is the stretching surface index parameter , 0n is for
accelerated sheet and 0n is for decelerated sheet.
)(xT is temperature at the surface at a distance x along
the surface from the origin , WT is initial temperature of
the surface , 0T is proportionality constant arising in
dealing with temperature gradient term y
T
. )(xC is
concentration at the surface at a distance x along the
surface from the origin , WC is initial concentration of the
surface, 0C is proportionality constant arising in dealing
with concentration gradient termy
C
.
T andC are
ambient temperature and concentration respectively.
Dimensional analysis: We define
CC
CC
TT
TT
fn
nf
xnc
v
fxcu
xv
yu
fxn
c
yxnc
w
w
n
n
n
n
)(
,)(
,)(')1(
)1()(
2
)1(
)('
,,
),()1(
2
,2
)1(
2
12
1
2
12
1
2
12
1
(6)
Here is similarity variable, is stream function, f is
non-dimensional stream function, u is x -component of
velocity, is y- component of velocity.
Using equations (6), equations (1) to (4) can be written as
0
))/1((
1
2
cos1
2
1
2)
11(
2
*
2
fFs
fKM
n
n
fn
nfff
p
, (7)
0Pr
1 f , (8)
01
2
1
cKn
fSc
. (9)
And boundary conditions (5) as ,
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(10)
where
2
)1(2
1
02
)1(
n
xnc
Tt
,
2
)1(2
1
02
)1(
n
xnc
Cc
.
Here prime denotes differentiation with respect to .
The parameters occurring in equations (7) to (10) are defined
as follows:
fc
BM
2
0 is Magnetic parameter
)1(
n
d
p
xcKK
is Permeability parameter,
d
b
K
xCFs
√ is
Forchhiemer parameter, 2
2)(
xTTgGr wT
is
Grashof number, 2
2)(
xCCgGc wC
is solutal
Grashof number, 2
*
Re
Gr is buoyancy parameter,
2Re
Gc is solutal buoyancy parameter,
xuw
x Re is
Reynolds number, n
w xcu fluid velocity along the wall
surface, D
Sc
is Schmidt number,
T
Pr is
Prandtl number, n
c xKK 11 is reaction rate parameter,
0cK represents destructive chemical reaction, 0cK
corresponds to no reaction and 0cK , stands for
generative chemical reaction.
2
)1(
)1(
2n
w xnc
vS
is suction/injection
parameter, 0S for suction and 0S for injection or
blowing ( 0wv for mass suction and 0wv for mass
injection). 2
)1(
2
)1(
n
xnc
NVs
is velocity slip
parameter. t is thermal slip parameter. c is
concentration slip parameter.
The engineering design quantities which have physical
interest include local Skin-friction coefficient xCf local
Nusselt number xNu and local Sherwood number xSh
and Reynold number (Rex) , are given as follows:
The local Skin-friction coefficient is 2
wf
w
xu
Cf
The Shearing Stress is
0
11
y
Bwy
u
,
00 2
y
y
B
y
Wy
up
y
u
The local Reynold number is
xuw
x Re ,
)0()1
1(2
1
Re
1
2
2
0
fn
u
y
up
Cf
x
wf
y
y
B
x
(11)
Local Nusselt number
)0('2
1Re
0
n
TT
y
Tx
uN
x
w
y
x (12)
as
f
c
t
fVsf
Sf
0)(
,0)(,0)(
)0('1)0(
),0('1)0(
),0(''1)0(
,)0(
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Local Sherwood number:
)0('2
1Re
0
n
TT
y
Cx
Sh
x
w
y
x
(13)
III. METHOD OF NUMERICAL SOLUTION
The numerical solutions are obtained using the above
equations for some values of the governing parameters,
namely, the Magnetic parameter (𝑀), the Permiability
porosity parameter (Kp), the Forchhemier parameter(Fs),
inclination parameter( ), Casson parameter( ), Stretching
index parameter( n ) and velocity slip parameter (Vs).
Effects of S ,Vs , t , c , , , and n , on the steady
boundary layers in fluid flow region are discussed in detail.
The numerical computation is done using the Matlab in-built
numerical solver bvp4c. In the computation we have taken
12 and axis according to the clear figure-visibility.
IV. RESULT AND ANALYSIS
In order to validate the method used in this study and to
judge the accuracy of the present analysis, comparisons with
available results of Andersson [4] ,Mahdy [16] and
Ahmed[17] ,corresponding to the skin-friction coefficient
when are presented in Table 1. As it can
be seen, there are excellent agreements between the results.
so we are confident that the present numerical method
works very efficiently.
For drawing from figures 2 to 40 and from tables 3 to 20
following common parameter values are considered:
M =1; Kp =1; Fs =1; =0.2; =0.5; n =1; Vs =0.2;
* =0.5; = 0.5; Pr =1; Sc 1; Kc =0.5;
S =0.2; t =1; c =1;
f0(3)=0.2;f0(5)=0.2;f0(7)=0.2;
Table 1 Comparison of )0(''f for various values of Vs=[0.0;0.1;0.5;1.0] with 12 , =inf, M =0, Kp =inf, Fs =0
, n =1, * =0.0, =0.0, =0.0 , Pr =0, Sc =0, Kc =0.0, S =0.0, t =0, c =0, f0(3)=0.0, f0(5)=0.0, f0(7)=0.0,
Vs )0(''f Andersson [4] )0(''f Mahdy [16] )0(''f
Ahmed[17]
)0(''f Present study
0.0 -1.0000 -1.000000 -1.0000 -1.000001136721379
0.1 -0.8721 -0.8721091 -0.87208 -0.872083949541335
0.5 -0.5912 -0.591199 -0.591195 -0.591197864801179
1.0 -0.4302 -0.4302 001 -0.430160 -0.430163666996962
Table 2 Data for values of parameters for figures 2 to 11.
Fjgure 2 Fjgure 3 Fjgure 4 Fjgure 5,6 Fjgure 7,8 Fjgure 9,10 Fjgure 11
0.5,1,2,3 0.2 0.2 0.2 0.2 0.2 0.2
0.2 0.5,1,2,3 0.2 0.2 0.2 0.2 0.2
1 1 0.5,1,2,3 1 1 1 1
1 1 1 0.5,1,2,3 1 1 1
0.2 0.2 0.2 0.2 0.5,1,2,3 0.2 0.2
0.5 0.5 0.5 0.5 0.5 0.5,1,2,3 0.5
1 1 1 1 1 1 0.5,1,2,3
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Figure 2 Graph between )(' f and for different
values of S
Figure 3 Graph between )( and for different
values of S
Figure 4 Graph between )( and for different
values of S .
Figure 5 Graph between )(' f and for different values
of Vs .
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Figure 6 Graph between )(' f and for different
values of Vs .
Figure 7 Graph between )( and for different
values of Vs .
Figure 8 Graph between )( and for different values
of Vs .
Figure 9 Graph between )( and for different values
of Vs .
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Figure 10 Graph between )( and for different
values of Vs .
Figure 11 Graph between )(' f and for different
values of Vs .
Figure 12 Graph between )(' f and for different
values of Vs .
Figure 13 Graph between )( and for different values
of Vs .
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Figure 14 Graph between )( and for different values
of Vs .
Figure 15 Graph between )( and for different
values of Vs .
Figure 16 Graph between )( and for different
values of Vs .
Figure 17 Graph between )(' f and for different
values of t .
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Figure 18 Graph between )(' f and for different
values of t .
Figure 19 Graph between )( and for different
values of t .
Figure 20 Graph between )( and for different
values of t .
Figure 21 Graph between )( and for different
values of t .
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Figure 22 Graph between )(' f and for different
values of c .
Figure 23 Graph between )(' f and for different
values of c .
Figure 24 Graph between )( and for different
values of c .
Figure 25 Graph between )( and for different values
of c .
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Figure 26 Graph between )( and for different
values of c .
Figure 27 Graph between )(' f and for different
values of
Figure 28 Graph between )(' f and for different
values of .
Figure 29 Graph between )( and for different
values of
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Figure 30 Graph between )( and for different values
of
Figure 31 Graph between )( and for different
values of
Figure 32 Graph between )( and for different
values of
Figure 33 Graph between )(' f and for different
values of .
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Figure 34 Graph between )( and for different
values of .
Figure 35 Graph between )( and for different values
of .
. .
Figure 36 Graph between )(' f and for different
values of n ..
Figure 37 Graph between )(' f and for different
values of n ..
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Figure 38 Graph between )( and for different
values of n .
Figure 39 Graph between )( and for different values
of n .
Figure 40 Graph between )( and for different
values of n .
Figure 41 Graph between )( and for different
values of n .
Figure 2 is for 120 . Figure 3 show velocity
boundary layer thickness and the magnitude of the
velocity decrease and this decrease slows down as the
Suction parameter increases.
Figure 3 is for 120 . Figure 3show thermal
boundary layer thickness and the magnitude of the
temperature decrease and this decrease slows down as
the Suction parameter increases.
Figure 4 is for 120 . Figure 4 show concentration
boundary layer thickness and the magnitude of the
concentration decrease and this decrease slows down as
the Suction parameter increases.
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Figure 5 is for 120 . Figure 5 show velocity
boundary layer thickness and the magnitude of the
velocity decrease as the velocity slip parameter
increases.
Figure 6 show velocity boundary layer thickness and the
magnitude of the velocity decreases in the range
9.22 2 increases in the range 7.33 . as the
velocity slip parameter increases.
Figure 8 for 70 is part of Figure 7 . Figure 8
show thermal boundary layer thickness and the
magnitude of the temperature increase as the velocity
slip parameter increases.
Figure 10 for 2.35.1 is part of Figure 9 . Figure
10 show concentration boundary layer thickness and the
magnitude of the concentration increase and this increase
slows down as the velocity slip parameter increases.
Figure 11 is for 120 . Figure 11 show velocity
boundary layer thickness and the magnitude of the
velocity decrease as the velocity slip parameter
increases.
Figure 12 show velocity boundary layer thickness and
the magnitude of the velocity decreases in the range
9.22 2 increases in the range 7.33 . as the
velocity slip parameter increases.
Figure 14 for 70 is part of Figure 13 . Figure 14
show thermal boundary layer thickness and the
magnitude of the temperature increase as the velocity
slip parameter increases.
Figure 16 for 2.35.1 is part of Figure 15. Figure
16 show concentration boundary layer thickness and the
magnitude of the concentration increase and this increase
slows down as the velocity slip parameter increases.
Figure 18 for 2.38.1 is part of Figure 17 for
120 . Figure 18 shows velocity boundary layer
thickness and the magnitude of the velocity decrease as
the thermal jump parameter increases.
Figure 19 is for 120 . Figure 19 show thermal
boundary layer thickness and the magnitude of the
temperature decrease as the thermal jump parameter
increases.
Figure 21 for 85.265.2 is part of Figure 20 for
120 . Figure 21 show concentration boundary
layer thickness and the magnitude of the concentration
increase and this increase slows down as the thermal
jump parameter increases.
Figure 23 for 0.32.2 is part of Figure 22 for
120 . Figure 23 shows velocity boundary layer
thickness and the magnitude of the velocity decrease as
the concentration jump parameter increases.
Figure 25 for 4.33 is part of Figure 24 for
120 . Figure 25 shows thermal boundary layer
thickness and the magnitude of the temperature increase
and this increase slows down as the concentration jump
parameter increases.
Figure 26 for 120 , shows concentration
boundary layer thickness and the magnitude of the
concentration decrease as the concentration jump (solutal
slip)parameter increases.
Figure 28 for 5.45.1 is part of Figure 27 for
120 . Figure 28 shows velocity boundary layer
thickness and the magnitude of the velocity decrease and
this decrease speeds up as the inclination parameter
increases.
Here suction (blowing) parameter, velocity slip parameter,
thermal slip parameter, solutal slip parameter are non
dimensional.
Figure 30 for 5.45.1 is part of Figure 29 for
120 . Figure 30 shows thermal boundary layer
thickness and the magnitude of the temperature increase
and this increase speeds up as the inclination parameter
increases.
Figure 32 for 6.22.1 is part of Figure 31 for
120 . Figure 32 shows concentration boundary
layer thickness and the magnitude of the concentration
increase and this increase speeds up as the inclination
parameter increases.
Figure 33 for 2.36.1 is part of Figure for
120 . Figure 33 shows velocity boundary layer
thickness and the magnitude of the velocity decrease
and this decrease slows down as the Casson parameter
increases.
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© 2019, IJSRMSS All Rights Reserved 73
Figure 34 for 5.45.1 , shows thermal boundary
layer thickness and the magnitude of the temperature
increase and this increase slows down as the Casson
parameter increases.
Figure 35 for 32 , shows concentration boundary
layer thickness and the magnitude of the concentration
increase and this increase slows down as the Casson
parameter increases.
Figure 37 for 52 is part of Figure 36 for
120 . Figure 37 show velocity boundary layer
thickness and the magnitude of the velocity increase and
this increase slows down as the stretching index parameter
n increases.
Figure 39 for 52 is part of Figure 38 for
120 . Figure 39( which is part of Figure 38 )
shows thermal boundary layer thickness and the
magnitude of the temperature decrease and this decrease
slows down as the stretching index parameter n increases.
Transition from n =2 to n =3 shows wavy nature of the
temperature layer at or near the surface.
Figure 41 for 5.40 is part of Figure 40 for
120 . Figure 41 show concentration boundary
layer thickness and the magnitude of the concentration
increase and this increase shows no variation as the
stretching index parameter increases.
Table 3 Local skin friction )0(''f with respect to variation in and S .
Table 4 Local Nusselt Number )0('
with respect to variation in and S .
Table 5 Local Sherwood Number )0('
with respect to variation in and S .
S \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.5483 0.5439 0.5407 0.4514
1.0 0.6119 0.6083 0.6056 0.5537
2.0 0.7060 0.7039 0.7023 0.6826
3.0 0.7674 0.7662 0.7653 0.7564
Table 6 Local skin friction )0(''f with respect to variation in and Vs .
S \ )0(''f 5.0 )0(''f,
0.1 )0(''f,
0.2 )0(''f,
0.3
0.5 -0.8713 -1.0209 -1.1379 -1.1884
1.0 -0.9451 -1.1230 -1.2651 -1.3272
2.0 -1.0859 -1.3191 -1.5101 -1.5947
3.0 -1.2239 -1.5086 -1.7425 -1.8457
S \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.4741 0.4631 0.4549 0.5394
1.0 0.5680 0.5611 0.5559 0.6045
2.0 0.6887 0.6858 0.6836 0.7016
3.0 0.7594 0.7579 0.7568 0.7649
Vs \ )0(''f 5.0 )0(''f,
0.1 )0(''f,
0.2 )0(''f,
0.3
0.5 -0.6278 -0.7009 -0.7535 -0.7751
1.0 -0.4525 -0.4884 -0.5127 -0.5224
2.0 -0.2926 -0.3062 -0.3150 -0.3183
3.0 -0.2168 -0.2236 -0.2278 -0.2294
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Table 7 Local Nusselt Number )0('
with respect to variation in and Vs .
Vs \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.3836 0.3687 0.3583 0.3542
1.0 0.3633 0.3494 0.3403 0.3368
2.0 0.3411 0.3300 0.3233 0.3209
3.0 0.3291 0.3202 0.3151 0.3132
Table 8 Local Sherwood Number )0('
with respect to variation in and Vs .
Table 9 Local skin friction )0(''f with respect to variation in and t
t \ )0(''f 5.0 )0(''f,
0.1 )0(''f,
0.2 )0(''f,
0.3
0.5 -0.8150 -0.9448 -1.0449 -1.0877
1.0 -0.8252 -0.9579 -1.0604 -1.1043
2.0 -0.8368 -0.9733 -1.0787 -1.1240
3.0 -0.8433 -0.9820 -1.0894 -1.1354
Table 10 Local Nusselt Number )0('
with respect to variation in and t .
t \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.5063 0.4848 0.4693 0.4631
1.0 0.4028 0.3885 0.3779 0.3736
2.0 0.2865 0.2787 0.2729 0.2704
3.0 0.2224 0.2176 0.2138 0.2123
Table 11 Local Sherwood Number )0('
with respect to variation in and t .
c \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.5053 0.5008 0.4975 0.4962
1.0 0.5049 0.5002 0.4969 0.4956
2.0 0.5045 0.4996 0.4962 0.4948
3.0 0.5042 0.4993 0.4957 0.4943
Table 12. Local skin friction )0(''f with respect to variation in and c
c \ )0(''f 5.0 )0(''f,
0.1 )0(''f,
0.2 )0(''f,
0.3
0.5 -0.8157 -0.9454 -1.0453 -1.0881
1.0 -0.8252 -0.9579 -1.0604 -1.1043
2.0 -0.8347 -0.9705 -1.0755 -1.1206
3.0 -0.8394 -0.9768 -1.0832 -1.1288
Table 13 Local Nusselt Number )0('
with respect to variation in and c .
c \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.4038 0.3899 0.3797 0.3755
1.0 0.4028 0.3885 0.3779 0.3736
Vs \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.4969 0.4923 0.4892 0.4880
1.0 0.4891 0.4851 0.4826 0.4816
2.0 0.4813 0.4784 0.4767 0.4760
3.0 0.4773 0.4751 0.4739 0.4734
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© 2019, IJSRMSS All Rights Reserved 75
2.0 0.4019 0.3871 0.3762 0.3717
3.0 0.4014 0.3864 0.3752 0.3707
Table 14 Local Sherwood Number )0('
with respect to variation in and c .
c \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.6761 0.6679 0.6621 0.6598
1.0 0.5049 0.5002 0.4969 0.4956
2.0 0.3354 0.3332 0.3317 0.3311
3.0 0.2511 0.2499 0.2490 0.2487
Table 15 Local skin friction )0(''f with respect to variation in and .
Table 16 Local Nusselt Number )0(' with respect to variation in and .
\ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.4020 0.3873 0.3764 0.3719
1.0 0.3993 0.3830 0.3707 0.3656
2.0 0.3901 0.3676 0.3484 0.3397
3.0 0.3832 0.3538 0.3226 0.3032
Table 17 Local Sherwood Number )0('
with respect to variation in and .
Table 18 Local skin friction )0(''f with respect to variation in and n .
Table 19 Local Nusselt Number )0(' with respect to variation in and n .
n \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.3970 0.3814 0.3699 0.3653
1.0 0.4028 0.3885 0.3779 0.3736
2.0 0.4066 0.3934 0.3838 0.3799
3.0 0.4061 0.3934 0.3842 0.3805
\ )0(''f 5.0 )0(''f,
0.1 )0(''f,
0.2 )0(''f,
0.3
0.5 -0.8324 -0.9676 -1.0722 -1.1170
1.0 -0.8564 -1.0001 -1.1118 -1.1599
2.0 -0.9276 -1.0985 -1.2344 -1.2938
3.0 -0.9733 -1.1645 -1.3217 -1.3932
\ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.5047 0.4999 0.4965 0.4951
1.0 0.5037 0.4986 0.4949 0.4934
2.0 0.5009 0.4946 0.4898 0.4878
3.0 0.4990 0.4916 0.4856 0.4828
n \ )0(''f 5.0 )0(''f,
0.1 )0(''f,
0.2 )0(''f,
0.3
0.5 -0.8673 -1.0079 -1.1166 -1.1632
1.0 -0.8252 -0.9579 -1.0604 -1.1043
2.0 -0.8111 -0.9393 -1.0377 -1.0798
3.0 -0.8331 -0.9625 -1.0616 -1.1039
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Table 20 Local Sherwood Number )0('
with respect to variation in and n .
Table 3 shows for fix value of the suction parameter S
as the Casson parameter increases, local skin friction
)0(''f decreases and for fix value of the Casson
parameter as the suction parameter S increases skin
friction )0(''f decreases.
Table 4 shows for fix value of the suction parameter S , as
the Casson parameter increases, Local Nusselt
Number )0(' decreases and for fix value of the
Casson parameter as the suction parameter, S
increases Local Nusselt Number )0(' increases.
Table 5 shows for fix value of the suction parameter S , as
the Casson parameter increases, Local Sherwood
Number )0(' decreases and for fix value of the
Casson parameter as the suction parameter, S
increases Local Sherwood Number )0(' increases.
Table 6 shows for fix value of the velocity slip parameter
Vs as the Casson parameter increases, local skin
friction )0(''f decreases and for fix value of the Casson
parameter as the velocity slip parameter, Vs increases
skin friction )0(''f increases.
Table 7 shows for fix value of the velocity slip parameter
Vs as the Casson parameter increases, Local Nusselt
Number )0(' decreases and for fix value of the
Casson parameter as the velocity slip parameter, Vs
increases Local Nusselt Number )0(' decreases.
Table 8 shows for fix value of the velocity slip parameter
Vs as the Casson parameter increases, Local
Sherwood Number )0(' decreases and for fix value of
the Casson parameter as the velocity slip parameter,
Vs increases Local Sherwood Number )0('decreases.
Table 9 shows for fix value of the thermal jump (thermal
slip ) parameter t , as the Casson parameter
increases, local skin friction )0(''f decreases and for fix
value of the Casson parameter as the thermal jump
(thermal slip )parameter, t increases skin friction
)0(''f decreases.
Table 10 shows for fix value of the thermal jump (thermal
slip ) parameter t , as the Casson parameter
increases, Local Nusselt Number )0(' decreases and
for fix value of the Casson parameter as the thermal
jump (thermal slip )parameter, t increases Local Nusselt
Number )0(' decreases.
Table 11 shows for fix value of the thermal jump (thermal
slip ) parameter t , as the Casson parameter
increases, Local Sherwood Number )0(' decreases
and for fix value of the Casson parameter as the
thermal jump (thermal slip )parameter, t increases Local
Sherwood Number )0(' decreases.
Table 12 shows for fix value of the concentration jump
(solutal slip ) parameter c , as the Casson parameter
increases, local skin friction )0(''f decreases and for fix
value of the Casson parameter as the concentration
jump (solutal slip )parameter, c increases skin friction
)0(''f decreases.
Table 13 shows for fix value of the concentration jump
(solutal slip ) parameter c , as the Casson parameter
increases, Local Nusselt Number )0(' decreases and
for fix value of the Casson parameter
as the
concentration jump (solutal slip )parameter, c increases
Local Nusselt Number )0(' decreases.
n \ )0(' 5.0 )0(',
0.1 )0(',
0.2 )0(',
0.3
0.5 0.5242 0.5202 0.5174 0.5163
1.0 0.5049 0.5002 0.4969 0.4956
2.0 0.4811 0.4753 0.4712 0.4696
3.0 0.4660 0.4594 0.4547 0.4529
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© 2019, IJSRMSS All Rights Reserved 77
Table 14 shows for fix value of the concentration jump
(solutal slip ) parameter c as the Casson parameter
increases, Local Sherwood Number )0(' decreases
and for fix value of the Casson parameter as the
concentration jump (solutal slip )parameter, c increases
Local Sherwood Number )0(' decreases.
Table 15 shows for fix value of the inclination parameter
, as the Casson parameter increases, local skin
friction )0(''f decreases and for fix value of the Casson
parameter as the inclination parameter increases
skin friction )0(''f decreases.
Table 16 shows for fix value of the inclination parameter
, as the Casson parameter increases, Local Nusselt
Number )0(' decreases and for fix value of the
Casson parameter as the inclination parameter,
increases Local Nusselt Number )0(' decreases.
Table 17 shows for fix value of the inclination parameter
, as the Casson parameter increases, Local
Sherwood Number )0(' decreases and for fix value of
the Casson parameter as the inclination parameter,
increases Local Sherwood Number )0(' decreases.
Table 18 shows for fix value of the stretching index
parameter n as the Casson parameter increases, local
skin friction )0(''f decreases and for fix value of the
Casson parameter as the stretching index parameter n
increases skin friction )0(''f increases.
Table 19 shows for fix value of the stretching index
parameter n , as the Casson parameter increases,
Local Nusselt Number )0(' decreases and for fix
value of the Casson parameter as the stretching index
parameter n increases Local Nusselt Number )0('increases.
Table 20 shows for fix value of the stretching index
parameter n , as the Casson parameter increases,
Local Sherwood Number )0(' decreases and for fix
value of the Casson parameter as the stretching index
parameter, increases Local Sherwood Number
)0(' decreases.
V. CONCLUSION
In this paper, we have analysed numerically the effect of
suction, slip and inclination, on the non-Darcy MHD flow of a
Casson fluid over a nonlinearly stretching sheet in a porous
medium. In the mathematical model, using similarity
variables, the momentum , energy and concentration
equations are transformed to non-dimensional ordinary
differential equations. These equations are solved numerically
using bvp4c method, a Matlab in- built bvp4c-programm. A
discussion for the effects of the parameters involved on the
boundary layer regions and the magnitude of the velocity,
temperature and concentration and local Skin friction , Local
Nusselt number and Local Sherwood number have been
done graphically and numerically using figures and tables.
From this investigation, we have drawn the following
conclusions:
From the graphs we have following conclusion:
(i) As the Suction parameter, the velocity slip parameter, the
thermal jump(thermal slip) parameter, the concentration
jump(solutal slip) parameter, the inclination parameter,
the Casson parameter increases, velocity boundary
layer thickness and magnitude of velocity decreases.
(ii) As the velocity slip parameter, the concentration
jump(solutal slip) parameter , the inclination parameter,
the Casson parameter increases thermal boundary layer
thickness and magnitude of temperature increases.
(iii) As the velocity slip parameter, the thermal jump(thermal
slip) parameter, the inclination parameter, the Casson
parameter , the stretching index parameter increases,
concentration boundary layer thickness and magnitude of
concentration increases.
(iv) As the stretching index parameter increases, velocity
boundary layer thickness and magnitude of velocity
increases.
(v) As the suction parameter , the stretching index
parameter increases, the thermal jump(thermal slip)
parameter thermal boundary layer thickness and
magnitude of temperature decreases.
(vi) As the suction parameter, the concentration jump(solutal
slip) parameter increases concentration boundary layer
thickness and magnitude of concentration decreases.
From the tables we have following conclusion:
(vii) for fix value of suction, velocity slip, thermal slip,
Solutal (concentration) slip , inclination or stretching
index parameter as Casson parameter Local skin
friction, Local Nusselt Number or Local Sherwood
Number decreases.
(viii) for fix value of Casson parameter , as suction
parameter increases Local skin friction decreases but
Local Nusselt Number , or Local Sherwood Number
increases.
(ix) for fix value of Casson parameter , as velocity slip
increases Local skin friction increases but Local Nusselt
Number or Local Sherwood Number decreases.
(x) for fix value of Casson parameter , as thermal slip,
Solutal (concentration) slip , or inclination parameter
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© 2019, IJSRMSS All Rights Reserved 78
increases ,Local skin friction, Local Nusselt Number or
Local Sherwood Number decreases.
(xi) for fix value of Casson parameter , as stretching index
parameter increases Local skin friction or Local Nusselt
Number , increases but Local Sherwood Number
decreases.
ACKNOWLEDGEMENT
Author expresses sincere thanks to the Department of
Mathematics, Doon University, Dehradun, India, for its
support and cooperation in the work and especially to Dr.
Asha Ram Gairola for his help in the Nomenclature table.
COMPETING INTERESTS
Author has declared that no competing interests exist.
REFERENCES
[1] Lawrence J Crane. “Flow Past a Stretching Plate”, Kurze
Mitteilungen , Brief Report- Communications breves, Vol.21;1970.
[2] Rajagopal K R, Na TY, and Gupta A S, “Flow of viscoelastic fluid over a stretching sheet”, Rheologica Acta 23:213-215;1984.
[3] Ishak Anuar, Nazar Roslinda, and Pop Ioan, “Falkner-Skan
equation for flow past a moving wedge with suction or injection”, J. Appl. Math. & Computing Vol. 25, No. 1 - 2, pp. 67 - 83 ;2007.
Website: http://jamc.net.
[4] Siddappa B. and Abel Subhas, “Non-Newtonian flow past a stretching plate”, Journal of Applied Mathematics and Physics
(ZAMP),Vol.36; November 1985.
[5] Andersson H L, “Note: MHD flow of a viscoelastic fluid past a stretching surface”, Acta Mechanica 95,227-230; 1992.
[6] Dandapat B S, Holmedal L E and Andersson H L, “Note: on the
stability of MHD flow of a viscoelastic fluid past a stretching sheet”, Acta Mechanica 130,143-146 ;1998 .
[7] Fang Tiegang, Guo Fang, Lee Chia-fon F, “A note on the extended
Blasius equation”, Applied Mathematics Letters 19, 613–617;2006. www.elsevier.com/locate/aml, www.sciencedirect.com.
[8] Mamaloukas Ch, Spartalis S, Manussaridis Z, “Similarity Approach to the Problem of Second Grade Fluid Flows over a Stretching
Sheet”, Applied Mathematical Sciences, Vol. 1, no. 7, 327 –
338;2007. [9] Khidir Ahmed, “A note on the solution of general Falkner-Skan
problem by two novel semi-analytical techniques”, Propulsion and
Power Research 4(4):212–220;2015. http://ppr.buaa.edu.cn/,www.sciencedirect.com.
[10] Bataller Rafael Cortell, “Numerical Comparisons of Blasius and
Sakiadis Flows”, Matematika, Volume 26, Number 2, 187-196; 2010.
[11] Motsa S S, Hayat T, Aldossary O M, “MHD flow of upper-
convected Maxwell fluid over porous stretching sheet using
successive Taylor series linearization method”, Appl. Math. Mech.
-Engl. Ed., 33(8), 975–990 ;2012. DOI 10.1007/s10483-012-1599-x
[12] Motsa Sandile Sydney, Sibanda Precious, “On the solution of MHD flow over a nonlinear stretching sheet by an efficient semi-
analytical technique”, International Journal for Numerical Methods
in Fluids. April 2012, DOI: 10.1002/fld.2541. [13] Rosca A, “Mhd boundary-layer flow over a permeable shrinking
surface” , Acta Universitatis Apulensis ,No. 36, pp. 31-38, ISSN:
1582-5329.(result verified); 2013. [14] Nadeem S, Hussain S T, and Lee Changhoon, “Flow of a
williamson fluid over a stretching sheet” , Brazilian Journal of
Chemical Engineering, Vol. 30, No. 03, pp. 619 - 625, July -
September, 2013.
[15] Mukhopadhyay Swati, “MHD boundary layer slip flow along a
stretching cylinder”, Ain Shams Engineering Journal 4, 317–324;2013. www. elsevier.com/locate/asej,www.sciencedirect.com.
[16] Akbar N S, Nadeem S, Haq Rizwan Ul , Ye Shiwei, “MHD
stagnation point flow of Carreau fluid toward a permeable shrinking sheet: Dual solutions”, Ain Shams Engineering Journal 5,
1233–1239;2014. www .elsevier .com /locate /asej ,
www.sciencedirect.com. [17] Nadeem S, Haq Rizwan Ul, Lee C, “Research note: MHD flow of a
Casson fluid over an exponentially shrinking sheet”, Scientia
Iranica B 19 (6), 1550–1553;2012. www.sciencedirect.com. [18] Biswas R, Mondal M, Sarkar D R and Ahmmed S F, “Effects of
radiation and chemical reaction on MHD unsteady heat and mass
transfer of Casson fluid flow past a vertical plate”, Journal of Advances in Mathematics and Computer Science, Vol. 23(2), 1-16.
http://www.science domain.org/issue/2795.
[19] Ahmmed S F, Biswas R, and Afikuzzaman M, “Unsteady MHD
free convection flow of nanofluid through an exponentially
accelerated inclined plate embedded in a porous medium with
variable thermal conductivity in the presence of radiation”, Journal of Nanofluids, Vol. 7, pp. 891-901. http://www.aspbs. com/jon.htm.
[20] Biswas Rajib, Ahmmed Sarder Firoz, “Effects of Hall current and
chemical reaction on MHD unsteady heat and mass transfer of Casson nanofluid flow through a vertical plate”, Journal of Heat
Transfer.http://asmedigital collection.asme.org.
[21] Noor Khan Saeed, Zuhra Samina, Shah Zahir, Bonyah Ebenezer, Khan Waris, Saeed Islam, Khan Aurangzeb, “Hall current and
thermophoresis effects on magnetohydrodynamic mixed convective
heat and mass transfer thin film flow”, Journal of Physics Communications ;2018. https://doi.org/10.1088/2399-6528/aaf830.
[22] Sharada K, Shankar B, “ MHD Mixed Convection Flow of a casson
fluid over an exponentially stretching surface with the effects of soret, dufour, thermal radiation and chemical reaction”, World
Journal of Mechanics.;5:165-177, 2015.
Available:http://dx.doi.org/10.4236/wjm.2015.59017. [23] Swati Mukhopadhyay, Krishnendu Bhattacharyya, Tasawar Hayat,
“Exact solutions for the flow of Casson fluid over a stretching
surface with transpiration and heat transfer effects”, Chin. Phys.;22(11):114701, 2013. DOI: 10.1088/1674-
1056/22/11/114701.
[24] S.P. DahakeandA.V.Dubewar , ‘’Effects of Radiation on Magnetohydrodynamic Convection Flow past an Impulsively
Started Vertical Plate Submersed in a Porous Medium with
Suction’’, International Journal of Computer Sciences and Engineering Vol.-5(2), Feb 2017.
[25] E.O Anyanwu, D. Raymond , C.E Okorie , F.E James , E.O Ogbaji
,’’Slip Boundary Condition Effects on the Rate of Heat Transfer in A Micro channel Including Viscous Dissipation‟‟ ,International
Journal of Scientific Research in Mathematical and Statistical Sciences,Volume-5, Issue-4, pp.09-21, August (2018).
[26] Kala Bhim Sen, “Analysis of Non-Darcy MHD flow of a Casson
Fluid over a Non-linearly Stretching Sheet with Partial Slip in a Porous Medium”, AJARR, 3(3): 1-15, 2019.
AUTHOR’S PROFILE
Dr. Bhim Sen Kala, M.Sc, PhD, working in
Fluid Mechanics through Numerical
Analysis, currently teaching under
Department of Mathematics, Doon
University, Dehradun, 248001, Uttarakhand,
India.Email: [email protected]