Hydromagnetic Flow of Casson Fluid Carrying CNT and Graphene
Nanoparticles in Armory Production
ABAYOMI S. OKE1, BELINDAR A. JUMA2, ANSELM O. OYEM3
1Department of Mathematical Sciences,
Adekunle Ajasin University, Akungba Akoko,
NIGERIA
2Department of Mathematics,
University College London,
UNITED KINGDOM
3Department of Mathematics,
Busitema University,
UGANDA
*Corresponding Author
Abstract: - Carbon nanotubes (CNTs) and graphenes possess the properties that make them the future of armory
in the military. Bullet-proof vests, for instance, are indispensable components of any military arsenal whose
maintenance cost and weight can be drastically reduced if the materials are changed to CNT and graphenes.
The purpose of this study is to investigate heat and mass transport phenomena in the hydromagnetic flow of
Casson fluid suspending carbon nanotubes and graphene nanoparticles in armory production. An appropriate
model is developed, taking into account the Buongiorno model and the effect of heat radiation. Using similarity
variables, the model is reformulated into a dimensionless form. The numerical solution to the dimensionless
model is obtained using the three-stage Lobatto IIIa finite difference approach, which is programmed into the
MATLAB bvp4c package. The study reveals that an increase in the Casson fluid parameter leads to a decrease
in the velocity profiles. There is a 78.41% reduction in skin friction when results are compared with the CNT-
water nanofluid.
Key-Words: - Hydromagnetic, MHD, Heat and mass transfer, CNTs, Graphene, Casson fluid, Hybrid nanofluid
Received: November 18, 2022. Revised: August 27, 2023. Accepted: October 6, 2023. Published: November 8, 2023.
1 Introduction
Most natural and engineered fluids do not obey the
Newtonian law of viscosity, [1], [2], [3], [4]. These
diverse properties of the fluids led to the
formulation of fluid models such as the Casson fluid
model, the Carreau fluid model, and the Williamson
fluid model, [5], [6], [7], [8], [9]. The Casson fluid
model is of major medical importance due to its
ability to model the flow of blood, [10]. The study,
[11], mathematically analyzed the Casson fluid
model and the results are in agreement with
rheological results on blood. The search for a better
thermally conducting fluid was initiated by, [12],
when he added millimetre-scale solid particles to a
fluid. The study, [13], however, improved on the
work by proposing nanoparticles in place of the
millimeter-sized solid particles. The resulting
suspension of nanoparticles in a base fluid is now
called nanofluids. Nanofluids have a lot of
applications in different industrial and technological
areas due to their enhanced heat transfer rate, [14],
[15], [16]. The study, [17], proposed the class
hybrid nanofluids, in which two nanoparticles are
suspended in a base fluid. It was shown that the
hybrid nanofluid possesses better properties
compared with the individual nanofluids. Of many
important properties that can be studied in hybrid
nanofluid flow, the rate of heat transmission is of
prime importance. This prompted, [18], to develop a
mathematical model to study the improvement of
heat transfer in AgCuO hybrid nanofluids with
water-based fluid. The results indicated an
improvement in the heat transmission of the hybrid
nanofluid compared to nanofluids and ordinary
fluids, [19], [20], [21]. The study, [22], proceeded to
carry out a theoretical comparison between the heat
transmission of a hybrid micropolar nanofluid and
WSEAS TRANSACTIONS on FLUID MECHANICS
DOI: 10.37394/232013.2023.18.13
Abayomi S. Oke, Belindar A. Juma, Anselm O. Oyem
E-ISSN: 2224-347X
123
Volume 18, 2023
the heat transmission of the micropolar nanofluid.
The results inferred the best heat transmission rate is
found in the hybrid micropolar fluid. The study,
[23], reiterated that heat transmission is drastically
improved in hybrid nanofluid when compared with
the ordinary base fluid or a nanofluid of similar
individual nanoparticles. The study, [24], explored
the semi-analytical solutions of an unsteady flow of
a hybrid nanofluid and their results showed the
existence of one stable solution and one unstable
solution. The study, [25], explained the existence of
the two solutions by showing that only one of the
solutions is significant for the research study. The
other solution is only useful for mathematical
completeness. The study, [26], took a more detailed
look into the flow of a hybrid nanofluid with an
incompressible base fluid in a rotating disk. After a
detailed analysis of different pairs of nanoparticles
in the base fluid, they concluded that some
nanoparticles like Carbon nanotubes greatly
improve the heat transfer rate than many others. The
study, [27], elucidated the significance of magnetic
field strength and heat source on the flow of hybrid
nanofluid over an exponential stretching Surface
(ESS). More recently, [28], studied heat and mass
transfer flow in the flow of Casson nanofluid in a
mixed-convective double diffusive flow with
convective boundary conditions. The result
indicated that skin friction, heat transfer rate, and
Sherwood number are enhanced with increasing
Biot number.
Steel, aramids, and Polypyridobisimidazole
(PIPD) are the most common materials used in
armory fabrication. Bullet-proof vests are now made
from stiff and durable fibers that are woven and
laminated securely in layers. The fabric material
absorbs the energy of the impacting bullet by
stretching the fibers, and the stiff fibers guarantee
that the load is distributed across a vast area within
the material. This mechanism slows the bullet and
eventually prevents it from hitting the body. The
ability of a fiber to deform in polymer matrix
composites (PMCs) is severely limited as a result of
surrounding resin, and therefore the energy
absorption capacity is diminished. Under ballistic
impact, the predominant failure modes in PMCs
include fiber strain and fracture, delamination, and
shear deformation in the resin matrix, [29]. The
strength of graphenes and carbon nanotubes, as well
as their extremely lightweight, high thermal and
electrical conductivities, elasticity, high tensile
strength, and low thermal expansion coefficient,
contribute to their potential ability to replace current
materials used in the production of armories.
Furthermore, graphenes and carbon nanotubes
enable the creation of wearable computers,
lightweight bullet-proof jackets, and a less expensive
alternative to military aircraft, [30], [31].
This research is designed to analyze the heat and
mass transfer in a Casson hybrid nanofluid flow
across an exponentially stretching sheet. The choice
of CNT and graphene nanoparticles is due to their
outstanding heat and electrical conductivity, aspect
ratio, [32], and lightweight which makes them the
best alternative to armory productions and heat
exchange performance. By combining these two
great materials, it is hoped that they enhance heat
transfer in the flow of electrically conducting Casson
hybrid nanofluid. This study provides answers to the
following questions;
1. How does radiation and haphazard motion of the
fluid particles affect the flow velocity of the
hybrid nanoparticles?
2. In what ways does the variation in volume
fraction influence the flow temperature of the
hybrid nanofluid suspending CNT and Graphene
nanoparticles?
3. What are the impacts of Magnetic parameters on
the flow velocity, temperature, and concentration
of the hybrid nanofluid suspending CNT and
Graphene nanoparticles?
2 Governing Equations
The physical configuration of the flow is depicted in
Figure 1. A Casson base fluid is chosen for this
study in which CNT and Graphene nanoparticles are
suspended. The resulting hybrid nanofluid flows
across a surface in which a magnetic field is applied
normally to the flow. The magnetic field is assumed
to have a constant magnetic field strength The
surface is stretching exponentially in the -direction
so that the fluid layers adjacent to the wall have the
same stretching velocity  The flow is
steady, incompressible, two dimensional and the no-
slip condition is considered.
Fig. 1: Flow configuration
WSEAS TRANSACTIONS on FLUID MECHANICS
DOI: 10.37394/232013.2023.18.13
Abayomi S. Oke, Belindar A. Juma, Anselm O. Oyem
E-ISSN: 2224-347X
124
Volume 18, 2023
Adopting the Buongiorno model to correct the
dimensionless units in, [33], and after the boundary
layer analysis, [34], equations governing the flow of
Casson hybrid nanofluid over an ESS in the
presence of thermal


󰇛󰇜





󰇛󰇜


󰇛󰇜




󰇛󰇜






󰇛󰇜




󰇛󰇜
subject to the no-slip boundary and initial conditions




󰇛󰇜
 󰇛󰇜
where all variables are as defined in the
nomenclature and adopting the formulation in, [9],



3 Methodology
The appropriate similarity variables for the system
of equations (2.1 - 2.4) with the boundary conditions
(2.5 - 2.6) are
󰇧
󰇨
󰇡
󰇢󰇡
󰇢󰆒

󰇡
󰇢󰇟󰆒󰇠
󰇡
󰇢
󰇡
󰇢
Setting
󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜
󰇫󰇛󰇜

󰇬
and defining the dimensionless parameters






 





Then the dimensionless forms of the system of
equations (2.1 - 2.4) are

󰆒󰆒󰆒 󰆒󰇛󰆒󰇜󰆒󰆒
󰇛󰇜

󰆒󰆒 󰆒󰆒󰇛󰆒󰇜󰆒
󰆒󰇛󰇜
󰆒󰆒
󰆒󰆒 󰆒󰆒󰇛󰇜
with the boundary conditions
󰆒󰇛󰇜
󰆒󰇛󰇜
Rewriting the dimensionless equations as a system
of first-order ODEs, we have;
󰆒󰇛󰇜
󰆒󰇛󰇜
󰆒
󰇡
󰇢󰇛󰇜
󰆒󰇛󰇜
󰆒

󰇡
󰇢 󰇛󰇜
󰆒󰇛󰇜
󰆒
󰇛󰇜
with boundary conditions given as
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
and
󰆒 󰆒󰆒 
  
The quantities of practical interest are the
coefficient of skin friction, Nusselt number, and
Sherwood number given as
󰇛󰇜
󰇛󰇜
where
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E-ISSN: 2224-347X
125
Volume 18, 2023



 



The dimensionless form of the quantities of interest
are
 󰇡
󰇢󰇛󰇜
 󰇛󰇜
󰇛󰇜
In this study, the Shooting Technique is
employed to convert the dimensionless boundary
value problem above to its equivalent initial value
problem. The conditions (3.13) and (3.14) are
written as
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
󰇛󰇜
󰇛󰇜󰇛󰇜󰇛󰇜󰇛󰇜
and solve the system of equations (3.6 - 3.12) with
some initial guesses for and the results are
compared with the three free stream conditions
(3.14). The guesses are updated based on errors
found in the comparison. The process is repeated
until a tolerable error is achieved. Once the
equivalent initial value ordinary differential
equation has been obtained, then the 3-stage Loabtto
IIIa is executed to solve the problem (Other methods
of solution can be found in, [35]). The Lobatto IIIa
method is a symmetric and nonstiff A-stable method
whose stability function 󰇛󰇜 is 󰇛󰇜-Pade
approximation to By setting 
and in the present work and setting
in, the two models coincide. The results from
this study are therefore compared with the outcomes
of, [17], as shown in Table 1 and it shows that there
is a good agreement between the results from this
present study and the work of, [17].
Table 1. Validation of results

Present work
0.5
0
0
0.5965
1
0
0
0.9548
2
0
0
1.4714
1
1
0
0.8615
1
1
1
0.4619
25
1
1
1.2016
4 Analysis and Discussion of Results
Equations (3.6 - 3.14) are solved using MATLAB
bvp4c with a tolerance level of 10−6 and the
following default values of the parameters are
chosen


The results from the simulations are depicted as
graphs. The thermophysical properties of the
nanoparticles and the base fluid are shown in Table
2.
Table 2. Thermophysical properties
ρ
cp
K1
Source
SWCNT
2600
425
6600
[36]
Graphene
2250
2100
2500
[37]
Blood
1093
3210
0.451
[38]
4.1 Effects of Various Parameters on the
Velocity Profile
The effects of the various dimensionless parameters
on the velocity profiles are shown in Figure 2,
Figure 3, Figure 4 and Figure 5. Figure 2 shows that
increasing the Casson parameter causes a decrease
in the primary velocity. Increasing the Casson fluid
parameter leads to an increase in the viscous
boundary layer thickness thereby increasing the
viscous effects in the flow. The presence of a
magnetic field in the flow field generates an
impeding force known as the Lorentz force. The
Lorentz force opposes fluid flow and increasing the
magnetic field strength implies an increase in the
Lorentz force. This explains why increasing
magnetic field strength reduces the velocity profiles.
Figure 3 shows the decrease in primary velocity
with increasing Magnetic parameters. The
continuous collision of the suspended nanoparticles
with each other and the wall of the stretching
surface leads to increased kinetic energy in the flow
which in turn leads to an increase in the velocity
profiles (Figure 4). Furthermore, increasing the
Radiation parameter increases heat energy in the
flow. The influx of heat excites the fluid particles
which increases the flow velocity. Hence, there is a
notable increase in the velocity profiles when the
Radiation parameter is increased (Figure 5).
4.2 Effects of Various Parameters on the
Temperature Profiles
As the Casson fluid parameter increases to infinity,
the fluid becomes Newtonian. Hence, increasing the
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Casson fluid parameter leads to an increase in the
thermal boundary layer thickness, which in turn
creates a surge in the temperature gradient. This
explains why the temperature profile increases with
increasing Casson fluid parameters as shown in
Figure 6. Figure 7 shows that increasing the
Magnetic field parameter increases the temperature
profile. This observation can be traced to the fact
that the Lorentz force generated from the magnetic
field creates a lot of internal friction between the
fluid molecules within the thermal boundary layer.
Additional internal energy is created in the form of
heat which raises the flow temperature profiles as
magnetic field strength increases. An increase in the
volume fraction increases the surface area of the
nanoparticles which enhances an improved thermal
conductivity. Therefore, as expected, Figure 8
shows an increase in the volume fraction increases
the temperature profile. The increase in the
temperature profile in Figure 9 is a result of the
increasing thermal radiation.
4.3 Effects of Various Parameters on the
Concentration Profile
Figure 10, Figure 11 and Figure 12 illustrate the
effects of the dimensionless parameters on the
concentration. As the Casson parameter γ increases,
the concentration profile increases due to the
increase in the concentration at the boundary layer
(as shown in Figure 10). Increasing the magnetic
field parameter generates the Lorentz force which
results in the thickening of the momentum boundary
layer. Hence, Figure 11 shows the concentration
profile increases with increasing Magnetic
parameters. Figure 12 shows that increasing the
Radiation parameter results in a decrease in the
concentration profile. This is because, as the
Radiation parameter increases, heat is generated in
the flow. An increase in the flow temperature
enhances the migration of nanoparticles from the
boundary layer and consequently reduces the
particle concentration within the boundary layer.
Fig. 2: Primary velocity with Casson parameter
Fig. 3: Primary velocity with Magnetic parameter
Fig. 4: Brownian motion and Thermophoretic
parameters with Primary velocity
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Fig. 5: Primary velocity with Radiation parameter
Fig. 6: Temperature with Casson parameter
Fig. 7: Temperature with Magnetic parameter
Fig. 8: Temperature with volume fraction
Fig. 9: Temperature with Radiation parameter
Fig. 10: Concentration with Casson parameter
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Fig. 11: Concentration with Magnetic parameter
Fig. 12: Concentration with Radiation parameter
4.4 Quantities of Interest
The Skin friction coefficient, Sherwood number,
and Nusselt number are computed and shown in
Table 3 (Appendix). Local skin friction increases
with increasing buoyancy, Casson fluid parameter,
and radiation parameter but decreases with
increasing magnetic field strength and Prandtl
number. The Nusselt number increases with
increasing buoyancy and Prandtl number but
decreases with increasing magnetic field strength,
Casson fluid parameter, and radiation parameter.
Sherwood number increases with increasing
buoyancy and radiation parameters but decreases
with increasing magnetic field strength, Casson
fluid parameter, and Prandtl number. By comparing
SWCNT water-based nanofluid with the current
SWCNT graphene Casson-based hybrid nanofluid,
there is a 78.41 percent reduction in skin friction (by
comparing the results with, [31]).
5 Conclusion
This study analyses the MHD flow of CNT-
Graphene Casson hybrid nanofluid over an ESS.
The flow of a hybrid Casson nanofluid is formulated
and nondimensionalized using the similarity
variables. The effects of pertinent parameters on the
flow velocity, flow temperature, and concentration
are analyzed and discussed. The results are
summarised as follows;
The primary velocity decreases with the Casson
fluid parameter and Magnetic field parameter but
increases with Brownian motion, Thermophoretic
parameter, and Radiation parameter.
1. The temperature profiles increase with the
Casson fluid parameter, magnetic field
strength, Brownian motion, haphazard motion,
volume fraction, and Radiation parameter.
2. The concentration profiles experience an
increase with the Casson parameter and
Magnetic field strength but a decrease with the
Radiation parameter.
3. The Skin friction coefficient increases with the
Grashof number, Casson fluid parameter, and
radiation parameter but decreases with
magnetic field strength and Prandtl number.
4. Nusselt number increases with the Grashof
number and Prandtl number but decreases with
the Casson fluid parameter, magnetic field
strength, and radiation parameter.
5. Sherwood number increases with Grashof
number and radiation parameter but decreases
with Casson fluid parameter, magnetic field
strength, and Prandtl number.
The impact of this paper in modern Fluid
Mechanics will be more visible when the thermal
conductivity effect is varied alongside other
parameters as directions for further research.
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APPENDIX
Table 3. Quantities of Engineering Interests





0.5 2
3.5
5
1
10
7.2
2
-1.245633315
-0.581040882
0.013917089
0.569252613
0.817985874
0.917571328
0.980956426
1.029835214
0.175714756
0.263425671
0.312889511
0.348744744
1
0.5
2
3.5
5
-0.770475997
-1.416580567
-1.904957996
-2.310164241
0.89768154
0.794891068
0.721866343
0.666172034
0.251527008
0.160088346
0.113210799
0.087029664
1
0.5
2
3.5
5
-1.878560408
-1.226410213
-1.11489622
-1.068341673
0.914037518
0.875955507
0.867363509
0.863537079
0.273490546
0.229718612
0.22127766
0.217717838
10
0.5
2
3.5
5
-0.798933832
-0.880842247
-0.931761986
-0.969721143
0.195647542
0.407504098
0.562481803
0.692952712
0.81439048
0.642261504
0.500400584
0.375550069
7.2
0.5
2
3.5
5
-1.104480262
-1.012422753
-0.965114487
-0.934952758
1.299137965
0.858737594
0.680157903
0.578255755
-0.22112938
0.213431548
0.388498895
0.486205056
Nomenclature
Variables and parameters
Velocity components along the -axes
Skin friction coefficient
Temperature at the wall and free stream
Density coefficient
Concentration at the wall and free stream

Specific heat capacity
Temperature
Thermal diffusivity
Concentration
Characteristic length
Dynamic and Kinematic viscosity
Volume fraction
Radiative and wall heat flux

Prandtl number
Thermal expansion coefficient

Grashof number
Electric conductivity coefficient

Reynold number
Acceleration due to gravity

Sherwood number
Magnetic field strength

Nusselt number
Thermophoretic and Brownian diffusivity

Schmidt number
Thermal conductivity
Magnetic parameter
Stefan-Boltzmann constant
Casson fluid parameter
Brownian motion parameter
Radiation parameter
Thermophoretic parameter

dimensionless velocity
Mean absorption coefficient
dimensionless distance
dimensionless temperature
dimensionless concentration
subscripts
hybrid nanofluid
carbon nanotubes-Casson fluid nanofluid
base Casson fluid
graphene-Casson fluid nanofluid
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Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy)
The authors equally contributed to the present
research, at all stages from the formulation of the
problem to the final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The authors have no conflicts of interest to declare.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
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