IRJET- Numerical Investigation of the Forced Convection using Nano Fluid

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 09 | Sep2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 696
Numerical investigation of the Forced Convection using Nano Fluid
Vishawanath1, Dr Pravin V Honguntikar2
M.Tech Student1 Prof & HOD Mechanical2
M.Tech in Thermal Power Engineering, Poojya Doddappa Appa College of Engineering Kalaburagi-585102
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Abstract - The performance of heat exchangers especially for single phase flows can be enhanced by many augmentation
techniques. One of the most popular method used is a passive heat transfer technique. Researchers have been quite active in
the search of novel ways on heat transfer augmentation techniques using various types of passive techniques to increase heat
transfer performances of heat exchanger. Computational Fluid Dynamics (CFD) simulations of heat transfer and friction factor
analysis in a turbulent flow regime in semi-circle corrugated channels with Tio2 Fe3O4 Sio2-water nanofluid is presented in
this paper. Simulations are carried out at Reynolds number range of 10000-30000, with nanoparticle volume fractions 0-6%
and constant heat flux condition. The results for corrugated channels are examined and compared to those for straight
channels. Results show that the Nusselt number increased with the increase of nanoparticle volume fraction and Reynolds
number. The Nusselt number was found to increase as the nanoparticle diameter decreased. Maximum Nusselt number
enhancement ratio 2.07 at Reynolds number 30,000 and volume fraction 6%.
Keywords: Cfd, Corrugated, Forced Convection, Nano Fluid.
1. Introduction
The sudden compression or expansion in the channels flow is
very important design in many practical applications for
cooling or heating systems. The forward-facing and
backward-facing steps are significant applications in these
types of flow. A number of heat transfer industrial
applications through facing step channel have been included
in energy systems equipment, electronic cooling systems,
chemical processes, combustion chambers, turbine blades
cooling, environmental control systems and high
performance heat exchangers. Particularly, the drop in
pressure and heat transfer enhancement in the reattaching
flow area and inside the reverse flow area was great. For
example, the low pressure drop and the high heat transfer
augmentation obtained near the wall channel region whereas
the low rate of heat transfer gain at the corner where the
sudden change occurs starts in flow region. On the other
hand, the corrugated channels have been used in a wide
range of practical applications to enhance heat transfer. The
augmentation of heat transfer in these channels is dependent
on bulk fluid mixing and re-initiation of the thermal
boundary layer. Through the author's knowledge,
investigations concern on nanofluid flow over facing step and
corrugated channels were still not entirely understood. The
main objective of this review is to summarize the recent
studies of heat transfer enhancement through facing step and
corrugated channels. In addition, this review will provide a
proposed new type of flow in corrugated facing step channels
for future work.
2. Heat transfer through facing step geometry
There is one separated region in the flow geometry of
backwardfacing step, which is developed by the step
downstream. Likewise, the flow geometry of forward-facing
step as well as the flow field that more complicated and one
or two separated regions can develop to one upstream and
the other downstream from the step, which depends on the
ratio of the approaching flow of thick boundary layer to the
forward-facing step height at the step. Flow over a
backward-facing step generates recirculation zones and
forms vortices due to the separation flow obtained from the
adverse pressure gradients in the fluid flow . The phenomena
of flow separation are found in different applications such as
heat exchangers,
nuclear reactors, power plants, cooling devices, etc. In the
past decades, a number of works have been performed on
this phenomena and its effect on heat transfer rate . The heat
transfer and flow characteristics of the conventional fluids
such as air and water through the facing step channels have
been studied by many researchers. Hattori and Nagano have
studied boundary layer turbulent flow through a forward
facing step. The separate regions have occurred in the step
and in front of the forward facing step flow. Sparrow and
Chuck performed a study of heat transfer and fluid flow
through a backward facing step numerically. They
implemented a numerical finite difference for studying the
airflow phenomenon over a two-dimensional channel that
was heated at constant temperature at the bottom wall from
the foot of the step to the end of the channel. The low values
of Nusselt number at the step were observed furthermore, it
advances regularly and achieve an optimum heat transfer

augmentation near the wall. Beyond the optimum point,
Nusselt number decreases regularly with fully developed
value. This behavior reflects the re-attachment, re-
development and separation by the flow experience. Chiang
et al conducted a topological study of a 3D backward facing
step channel to improve the visualization of oil flow field.
The size of the roof recirculation zone was observed to be
dependent on Reynolds number. Saldana et al. reported the
numerical results of simulating airflow through a forward
facing step horizontal channel under three different
Reynolds values. The expansion ratio (E =2) and the aspect
ratio (A =4) of rectangular forward-facing step channel have
been considered. In addition, a recirculation area was
developed next to upstream and the bottom step wall. The
separation of flow occurs early with increasing of Reynolds
number. The flow through a facing step has simulated
numerically . The results showed that the separation flow
occurs with the increasing of Reynolds number.
2. Literature Review
Nanotechnology would be noted as the most important
locomotive for the major industrial revolution of the present
time. The poor performance of thermal conductivity of
conventional fluids such as air, water, oil, and ethylene glycol
mixture is the primary restriction to enhance the
performance of heat exchangers [1]. Nanofluids are
considered by suspending nanoparticles in conventional
base liquids, and also the random motion process and
dispersion structure of the suspended nanoparticles are the
investigation fields of nanofluids [2]. Xuan and Li [3] have
experimentally investigated the heat transfer and flow field
of copper-water nanofluids flowing through a tube. They
conclude their investment for a range of Re (10,000-25,000)
and volume friction (0.3-2%). Yang et al [4] have
investigated experimentally the convective heat transfer of
graphite in oil nanofluid for laminar flow in a horizontal tube
heat exchanger. Santra et al [5] showed that the heat transfer
owing to laminar flow of copper-water nanofluid through
two-dimensional channel with constant temperature walls
and they conducted that the rate of heat transfer
enhancement with the rising in flow Reynolds number, Re, as
well as the increase in solid volume fraction. Kakac et al [6]
revealed the nanofluid flow can be considered as a single-
phase incompressible flow. Their investigation of the
simplest approach for the single-phase assumption is the
usage of the governing equations of pure fluid flow with
taking the thermophysical properties of the nanofluid. Nield
and Kuznetsov [7] made an analytical work of fully-
developed laminar forced convection in a parallel-plate
channel being concerned by a nanofluid which was subjected
to uniform-flux boundary conditions, constant heat flux
boundaries and constant temperature boundaries. Their
model included the effects of Brownian motion and
thermophoresis and they found that the combination of
these effects caused decrease the Nusselt number.
Selimefendigil and Oztop [8] implemented a numerical
examination of laminar pulsating rectangular jet with
nanofluids to investigate the effects of pulsating frequency,
Reynolds number, and volume fraction on the nanofluid flow
which can use heat transfer characteristics by using FLUENT
finite volume-based code. From their results, in the pulsating
flow case, the combined effect of pulsation and inclusion was
not favorable for the rising of the stillness point. Manca et al
[9] studied a numerical analysis on forced convection using
Al2O3 nanoparticles in the water. They are considered the
particle size is set equal to 38 nm, nanoparticle volume
fractions from 0% to 4% and the flow regime is turbulent
and Reynolds numbers are in the range 20,000-60,000.
Their results indicate that particle volume concentration
provides to proliferate heat transfer enhancement even
though the minimum power to pump the nanofluid must be
increased. Also, heat transfer coefficient and pressure loss
are investigated by using artificial roughness ducts with grid
ribs [10] and semi attached rib–groove channels [11]. Peng
et al [12] stated that the 45° V-shaped continuous ribs among
different V-shaped ribs have the best thermal achievement.
Promvonge et al [13] were carried a numerical analyze heat
transfer characteristics in a square-duct with inline 60° V-
shaped ribs placed on two opposite heated walls. It revealed
the maximum thermal performance was around 1.8 for the
rib with BR (rib height to duct diameter ratios) = 0.0725
where the heat transfer rate was about four times above the
smooth duct at reduced Reynolds number. Choi [14] was the
first who used the term nanofluids to refer to the fluids with
suspended nanoparticles. Several researches have
demonstrated that with low (1-5% by volume) nanoparticle
concentrations, the thermal conductivity can be increased by
about 20% [15- 16]. Xuan et al [16] experimentally studied
and obtained thermal conductivity of copper-water nanofluid
up to 7.5% of solid volume fraction. Several researches have
studied heat transfer enhancement with nanofluid [17- 18].
Block and fin fitting in channel can be noted as control
elements for rising or reducing of natural or forced
convection heat transfer. Most of the investments on
changing the flow pattern were performed using partitioning
rectangular or square blockades [19-20]. Varol et al [21]
studied the effects of fin placement on the bottom wall of a
triangular enclosures filled with porous media. Heidary et al
[22] have researched free convection and entropy generation
in an inclined square cavity filled with a porous medium.
Valinataj-Bahnemiri et al [23] investigated of two-
dimensional laminar flow of nanofluids in a sinusoidal wavy
channel with uniform temperature grooved walls. Tiwari et
al [24] studied the heat transfer effect and fluid flow
characteristics of nanofluids CeO2 and Al2O3 flowing in a
counter flow. The corrugated plate heat exchanger has been

simulated, and the three dimensional temperature graphs
and velocity fields have been provided through
computational fluid dynamics. Darzi et al [25] experimentally
studied to investigate the effect of nanoparticles on heat
transfer and friction factor inside helically grooved tubes.
Nanoparticles and helical grooves simultaneously augmented
the heat transfers by factor of 3.2 for higher concentration of
water-Al2O3 nanofluids. Navaei et al [26] investigated
numerical simulations of turbulent forced convection heat
transfer in a rib–groove duct exposed to uniform heat flux.
Kareem et al [27] have researched spirally grooved tubes
experimentally and numerically, they studied to analysis the
effects of new spiral corrugation characteristics and showed
the influence of the parameter called severity index on the
total thermal performance. Ramadhan et al [28] investigated
the fluid flow of turbulent heated flow inside a grooved tube
and numerical analysis was used to find the heat transfers.
Their study concerned fluid of air and grooved geometry for
heat transfer enhancement. To the best of our knowledge a
few papers in the literature has so far studied heat transfer in
different corrugated wall ducts with nanofluid. Therefore,
the present study aims to extend the investigation of the
effects of corrugated shape, nanoparticle and Reynolds
number on heat transfer and flow behavior. Numerical
method is employed for flow in channels having different
corrugated shapes such as circular, triangular, and
trapezoidal under constant wall temperatures with
nanoparticle volume fraction 0.5% and Reynolds number
ranging from 10,000 to 20,000.
3. Methodology
In the Current Project Simulation of the Semi circular
Corrugated Channel is Done with the Nano Fluids of the
different Volumetric concentrations where Different nano
Fluids is Used to solve the analysis to determine the best
possible solution for this particular application when we
define the Reynolds number of 30000 for nano fluids of
volume concentrations for 1% 3% & 5% respectively with
the nano fluids of Al2o3 Fe3o4 Tio2 and Sio3 to determine
the Best possible nano particle and best possible
Concentration in this simulation nano fluid concentration is
determined and assumed as homogenous Mixture where the
solid particle density is Mixed with the water and
determined Theoretically
Density if the Nano Fluid is Determined by the Following
Equation.
Specific Heat of the Nano Fluid is determined by the
following equation.
Viscosity of the Nano fluid is determined by following
equation.
Thermal Conductivity of the Nano Fluid is Defined By
following Equation.
3.1 INTRODUCTION OF CFD
Computational Fluid Dynamics (CFD) has8grown from a
8mathematical curiosity to become8an essential tool8in
almost every8branch of8fluid8dynamics, from8aerospace
propulsion to8weather prediction. CFD8is commonly
accepted8as referring8to the8broad topic encompassing8the
numerical solution, 8by computational8methods. These
governing8equations, which8describe fluid8flow, are the8set
of8NavierStokes8equation, continuity equation8and any
additional8source terms, for example, 8porous medium or
electric8body force.
Since the8advent of8the digital8computer, CFD, as
a8developing science, has8received extensive8attention
throughout the international8community. The8attraction of
the subject8is two8fold. Firstly, there8is the desire to 8be
able to model8 physical fluid phenomena 8that cannot8be
easily8simulated or measured8with a physical experiment,
8for example, weather8systems. Secondly, there8is desire to
be able to investigate physical8fluid systems more8cost
8effectively8and more rapidly8than with
experimental8procedures.
Traditional restrictions in flow8analysis and design8limit the
accuracy in8solving and visualisation8of8the fluid-
flow8problems. This applies8to both single and
multiphase8flows, and is8particularly true8of problems
that8are three8dimensional in nature8and involve
turbulence, 8additional source8terms, 8and/or heat and
mass transfer. 8All these can8be considered together in
the8application of8CFD, a powerful8technique that can8help
to overcome many8restrictions inherent in traditional
analysis.
FD is a method for8solving complex fluid flow8and heat
transfer8problems on a computer. CFD allows8the study
of8problems8that are too difficult to solve8using
classical8techniques. The flow inside 8the ESP is 8complex

and this can be analyzed 8using CFD tool, 8which
provides an insight8into the complex flow8behavior.
3.2 CFD SIMULATIONS
The process of8performing CFD simulation is split into three
components:
 Pre processing
 Solving
 Post Processing
The preprocessor contains all the fluid
flow inputs for a flow problem. It can be seen as a user
friendly interface and a conversion of8all the input into the
solver in CFD8program. At this stage, quite a lot
of8activities are carried out before the problem is being
solved. These stages are listed below:
Geometry Definition -
The region of interests that is the computational
domain which has to be defined.
Grid generation-
It is the process of8dividing the domain into a
number of8smaller and non- overlapping sub-
domains.
Physical and chemical properties-
The flow behavior in terms of8physical and chemical
characteristics are to be selected.
Fluid property Definition -
The fluid properties like density and viscosity are to
be defined.
Boundary conditions-
All the necessary boundary conditions have to be
specified on the cell zones. The8solution of8the flow
problem such as temperature, velocity, pressure etc.
Is defined at the nodes insides each cell. The
accuracy of8the CFD solution is governed by the
number of8cells 8in the grid and is dependent on
the fineness of8thegrid.
1) Geometry.
2) Mesh.
3) Setup.
4) Solution.
1) Geometry.
In the Current Simulation a pipe geometry is used
simulate the Heat transfer in cfd for nanofluid the
pipe is with the Thickness of 4.5mm and the length
of 0.9m is drawn using the tools present in the
design modeler.
Design Criteria.
The design of the Semi circular corrugated Channel is defined
as per the Following Dimensions
Fig 3.1 Dimensions of the Semi circular Corrugated Channel.
Fig 3.2 3D model of test section for the Simulaion
2) Mesh.
Generally the process of dividing the Total volume in
to number of sub domains is called mesh to
discretise the domain we use mesh window in the
Ansys workbench to Discretize the Total pipe using
Quad elements.
Figure 3.4: Meshed Rectangular channel in meshing module.

Figure 3.5: Closely sectioned View of meshed pipe.
3) Setup.
Initially in the setup the Pressure based solver is used to
define the type of problem along with the gravity Coming to
the models The type of viscous flow is laminar to define the
type of flow with energy equation on to simulate heat effects
in the simulation.
Materials:
As the software database does not contain the Nano fluids by
default we need to input the physical properties of the Fluid
manually by calculating the Density Thermal Conductivity
and Viscosity of the Fluid Manually by consider the liquid
water properties and the Solid nanoparticle Pro
4. Results
The current Chapter Deals with the Results obtained from
the Simultaion obtained from the Boundary conditions and
Setup discussed in Chapter 3 where All the Cases is
compared with each other with Respective results.
In this Chapter due to the space Constrain the Discussion of
only Higher Volumetric Ratio is Presented.
Case 1 Semi Circular Corrugated Channel with Al203 0.05
Fig 4.1 Pressure Distribution of Corrugated Channel with
0.05 AL2o3
The above Fig Represents the Pressure distribution of the
semi circular Corrugated Channel with Al2o3 0.05 where left
side of the picture is called Legend which shows the
distribution scale of minimum to maximum in the picture
where the blue colored region represents the minimum
Pressure 14.62 pa and the Red colored region represents the
maximum pressure 2166 pa.
Fig 4.2 Temperature Distribution in semi circular corrugated
channel with Al2o3 0.05
The above Fig represents the Temperature distribution of
the Semi circular corrugated channel using Al2o3 0.05where
left side is the legend with colored ranges in the contour Blue
color region represents the minimum temperature and the
Red Represents the maximum temperature due to the Heat
flux given to the wall with 10Kw /m2 the maximum
temperature Occuring at the Wall region the Nusselt number
Calculated from the obtained values is 320.478.

Fig 4.3 Velocity Distribution in Semi Circular Corrugated
Channel with Al2o3 0.05.
The Above Figure Represents the Velocity Distribution of the
semicircular corrugated channel with Al2o3 0. 05where left
side is the legend with colored ranges in the contour Blue
color region represents the minimum Velocity at wall region
there is no velocity therefore 0 and the Red Represents the
maximum Velocity at the Throat region of Corrugated
Channel is 1.94m/s
Plot 4.1 Volume Fraction Vs NU of Aluminum oxide
The above Plot is Drawn between Variable Volume Fraction
Vs Nusselt Number where in the Trend of the plot we can see
the Significant increase in the Nusselt Number with increase
in the volume fraction of nano particles this is due to the
increase of thermal conductivity within the Fluid. Maximum
Nusselt number at 0.05 is 320.478.
Case 2 Semi Circular Corrugated Channel with Fe3O4 0.05
Fig 4.4 Pressure Distribution in Semi Circular Corrugated
Channel with Fe3O4 0.05.
semi circular Corrugated Channel with Fe3o40.05 where left
Fig 4.5 Temperature Distribution in Semi Circular
Corrugated Channel with Fe3O4 0.05.
the Semi circular corrugated channel using Fe3o4 0.05where
temperature Occurring at the Wall region the Nusselt
number Calculated from the obtained values is 332.25478.
0
50
100
150
200
250
300
350
0 0.02 0.04 0.06
NU
Volume Fraction
NU Al203

Channel with Fe3O4 0.05.
semicircular corrugated channel with Fe3o4 0. 05where left
Channel is 1.88m/s
Plot 4.2 Volume Fraction Vs NU of Ferric oxide
Case 3 Semi Circular Corrugated Channel with SiO2 0.05
Channel with SiO2 0.05.
semi circular Corrugated Channel with Sio2 0.05 where left
Corrugated Channel with SiO2 0.05.
the Semi circular corrugated channel using Sio2 0.05where
0
50
100
150
200
250
300
350
0 0.02 0.04 0.06
NU
Volume Fraction
Nu Fe3o4

Channel with SiO2 0.05.
semicircular corrugated channel with Sio2 0. 05where left
Channel is 1.615m/s
Plot 4.3 Volume Fraction Vs NU of Silicon dioxide
Case 4 Semi Circular Corrugated Channel with TiO2 0.05
Channel with TiO2 0.05.
semi circular Corrugated Channel with Tio20.05 were left
Corrugated Channel with TiO2 0.05.
the Semi circular corrugated channel using Tio2 0.05where
0
50
100
150
200
250
300
350
0 0.02 0.04 0.06
NU
Volume Fraction
NU Sio2

Channel with TiO2 0.05.
semicircular corrugated channel with Tio2 0. 05where left
Channel is 1.90m/s
Plot 4.4 Volume Fraction Vs NU of Titanium dioxide
Nusselt number at 0.05 is 328.447
5. Conclusions
Numerical simulations of turbulent forced convection heat
transfer in a semi-circular corrugated channel subjected to
uniform heat flux were carried out. The computations were
performed for a symmetrical semi-circular corrugated
channel with varying Volume Concentrations (1% ≤ Ø ≤5%),
For Different Nano fluids of Tio2 Sio2 Fe3o4 Al2o3 The
results of numerical solution showed that Nu increase with
increasing the Ø . The results of the present study are
consistent with the results presented by [7], [8], [9], [10],
[11] and [12]. Finally, higher Nusselt number enhancement
ratio which indicates the optimum configuration is Fe3o4
and volume fraction 5%. Based on the above results, the use
of nanofluids in semi-circular corrugated channel is a
suitable method to achieve a good enhancement in the
performance of many thermal devices as a passive method.
The Below Graph Represents the Behaviour of Nu with
various Nano fluid Concentrations from the graph we can say
that For Fe3o4 5% we observe High Nusselt Number
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Name: VISHAWANATH
Branch:M.TECH IN THERMAL POWER ENGINEERING
Guide name:"Dr PRAVIN V HONGUNTIKAR"prof and Head of
the Mechanical Department Poojya Doddappa Appa College
of Engineering Kalaburagi-585102

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