improvement of heat transfer by nanofluid and magnetic...
TRANSCRIPT
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 110
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
Improvement of Heat Transfer by Nanofluid and
Magnetic Field at Constant Heat Flux on Tube
Humam Kareem Jalghaf1*, Ali Habeeb Askar1*, Mahir Faris Abdullah2*
*Corresponding author: [email protected]*, [email protected], [email protected] 1Department of Mechanical Engineering, University of Technology, Baghdad-Iraq
2Department of Refrigeration and Air Conditioning Engineering, Al-Rafidain University College. Iraq.
Abstract-- This paper experimentally probes the impacts of
using nanoparticles with and without the use of a magnetic field
throughout flow behaviour characteristics and the heat
transfer rate on forced convection heat transfer of Fe3O4–
water nanofluid with laminar flow regime in a horizontal tube
under constant heat flux conditions. The base working fluid is
distilled water, and the added nanoparticles are Iron Oxide
(Fe3O4), with a volume fraction of (φ = 0. 3, 0.6 and 0.9%). The
intensity of supplied magnetic field is (0.1Tesla). The
experiments are conducted at different constant heat fluxes
(12.7, 15.9, 19.8 kw/m2), two different inlet temperatures (23, 45
o C), four different flow rates (2, 3, 3.5, 4, l/min) and a wide
range of Reynolds numbers (3930-7860). It was derived from
the experiment that an increase in the concentration of
nanofluids and in the heat flux, resulted in an increase in
Nusselt number. Furthermore, it was found that the use of
magnetic intensity enhances the heat transfer even further. The
maximum enhancement in Nusselt number is about 18.3%
without using a magnetic field, whereas it becomes
approximately 20.1% when supplied with a magnetic field at a
nanofluid concentration of (φ = 0.9%) and lower heat flux. It is
proven that as the inlet temperature increases, the heat transfer
decreases.
Index Term-- magnetic nanofluids, heat flux, heat transfer,
Fe3O4, Ferro fluid.
NOMENCLATURE
As Cross-sectional area (m2) B Magnetic field (Tesla) Subscripts
Q Heat transfer rate (W) q Heat flux (W/m2) CCl4 Carbon tetrachloride
C Specific heat (J/kg.K) Re Reynolds number (-) H heat
Nu Nusselt number (-) t time (sec) f fluid
f Friction factor T Temperature (K) (i,o,s) in , out ,surface
h Heat transfer coefficient (W/m2.K) Volume fraction of nanofluid w water
f Friction factor ρ Mass density (kg/m3) nf Nanofluid
𝑙 Length of the test section (m) V Voltage (volts) x Distance
k Thermal conductivity (W/m.K) γ Specific weight pf Particle fluid
ΔP Pressure drop across the tube u Velocity (m/s) v vessel (aluminum vessel)
I Electric Current (A) r Radius of pipe (m) f fluid
D Diameter (m) Volume fraction of nanofluid P Particle
1. INTRODUCTION
Over the years, many researchers faced setbacks in
addressing issues related to heat transfer in engineering
systems. To overcome the problems, a limited number of
methods were employed. In one such approach, heat
transfer could be refined by improving the efficiency of
industrial and engineering applications [1–5]. Studies
indicated that nanofluids were a feasible coolant that
upgraded many engineering devices' performance
efficiency [6].
Magnetic fluid, also called ferrofluid, is a magnetic
colloidal suspension consisting of magnetic nanoparticles
such as iron, nickel, cobalt and their base fluid oxides, and
so on. This magnetic fluid behaves as an intelligent and
functional fluid due to its special properties. As a result, it
finds its niche in different fields such as electronic
packaging and mechanical packaging [7-10].
Nanofluid is a suspension of nanoparticles such as Fe3O4-
in distilled water. The thermal conductivity of most solids
is greater as compared to conventional heat transfer fluids.
Different techniques and methods to reduce the
temperature of surfaces with a high heat transfer rate have
been proposed, all of which enhances the heat transfer rate.
The basis of these techniques comprises of the application
of an electrical or a magnetic field, vibration of a heated
surface, structure variation or injection as well as suction
mailto:[email protected]:[email protected]:[email protected]
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 111
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
of a fluid, as proposed by Razi and Saeedinia [11]. Al-
dulaimy [12] conducted a study of Al2O3/water nanofluid
in examining the laminar force convection with two
different mass flow rates and heat fluxes of 150, 90,
50W/cm2. An experimental study was undertaken by
Saeedinia and Nasr [13] with the principal aim of analysing
heat transfer rate in addition to the pressure drop of a
laminar flow nanofluid, specifically known as CuO/Base
oil, where this experiment was conducted with different
insertions of coils in a tube under a known and constant
heat flux. It was observed that, on an average, at the highest
values of the Reynolds numbers within the tube inserted
with wire coils, the heat transfer coefficient peaked at 45%,
whereas the pressure drop diminished by 63%. Malvandi et
al. [14] theoretically studied the migration of nanoparticles
on a magneto-hydrodynamic heat transfer by convection
for a nanofluid denoted as alumina/water, flowing through
the inlet side of a microchannel placed vertically. The
boundary condition was specified as a boundary subjected
to varying heat fluxes, and the results demonstrated that
nanoparticles accumulated in the core zone of the heated
walls. Additionally, they tend to accumulate in a region
near the wall close to the lower heat transfer rate.
Furthermore, it was stated that the asymmetric distribution
of the nanoparticles increases the heat transfer rate as
nanoparticles causes velocities that produced movements
headed to the wall, which has a higher thermal energy.
Contrarily, Sheikholeslami et al. [15] conducted an
experimental analysis of heat transfer by the means of
forced convection in a lid-driven semi annulus enclosure
filled with a nanofluid denoted as Fe3O4-water, with an
asymmetric magnetic flux. The assumption made was that
the fluid temperature increased linearly with the intensity
of the magnetic flux as well as with the magnetisation of
the fluid. The governing equations were solved by
vorticity-stream, a finite element method based on the
management of the volume. The equations were solved for
certain parameters such as the Hartmann, Reynolds and
volume fraction of the nanoparticle varieties. It was
observed that the Reynolds number variety increased
linearly with the volume fraction of the nanoparticle,
however, it was on the contrary with the Hartmann variety.
Moreover, Hatami et al. [16] experimentally investigated
magnetic flux under forced convection heat transfer for a
nanofluid, denoted as Fe3O4–water, with a laminar flow
behaviour contained in a pipe placed horizontally and
under constant heat fluxes. The heat transfer rate was
measured by means of convection inside a pipe subjected
to a heat flux, as previously mentioned, with a magnetic
fluid flowing through it. It was observed that the
dimensions of the Fe3O4 nanoparticles were approximately
100 nm with different concentrations and are well
distributed in the water. The results showed an external
flux, Ha, between 33.4x10-4 and 136.6, and with a
concentration of nanoparticles of 1%, 0.5%, 0.1% and 0%,
which is conceded to study the characteristics of the heat
transfers. Also, the results of this investigation indicated
that the presence of a heat flux in the pipe increases the
concentration of nanoparticles, which caused a decline in
the heat transfer coefficient. The study was also conducted
on heat transfer without an external flux, and it was
observed that the addition of magnetic nanoparticles
enhanced the convection heat transfer by 60 times.
Moreover, it was noted that the Nusselt variety diminished
with an increase in the Hartmann variety for a specified
magnetic nanofluid concentration, and this reduced the heat
transfer rate by 25 times. On the other hand, Karamallah et
al. [17] conducted an experimental analysis on the distilled
water flow and nanofluids, as well as in the heat transfer
rate for concentrations of 0.9%, 0.6% and 0.3% in a pipe
placed horizontally and subjected to a uniform magnetic
field. The experimental analysis was conducted with a
varying Reynolds number from 2900 to 9820, and using a
uniform heat flux from 11262 W/m2 to 19562 W/m2. It was
observed that the concentration of the nanofluid, the
Nusselt Number as well as the intensity of the magnetic
field rose. The maximum percentage increases of the
Nusselt numbers with a magnetic nanofluid were 42.7%,
26.4% and 5.4% for the volume concentrations of 0.9%,
0.6% and 0.3% respectively. Conjointly, with a volume
concentration of 0.9%, the enhancement of the intensity of
the magnetic field was 0.1, 0.2 and 0.3 Tesla, with
percentage increases of 43.9%, 44.3% and 46%
respectively. The enhancement on the heat transfer rate
decreased as the Reynolds number increased when the
magnets were used. On the other hand, the friction factor
raised its magnitude when the volume concentration
increased, while the magnet intensity diminished with an
increase of the Reynolds number. A similar study was
conducted by Goharkhah et al. [18] in order to
experimentally investigate the conduction heat transfer rate
of a ferrofluid subjected to dynamic conditions. The
experiment involves the analysis of heat transfer rate
strength by means of conduction of the nanofluid known as
Fe3O4/water ferrofluid moving through a pipe subjected to
a uniform heat flux with several Reynolds number from
400 to 800 and a volume fraction from 1% to 2%. The
results demonstrated that the heat transfer rate by means of
conduction increased when the concentration of the
nanofluids were also increased. Moreover, it was revealed
that a heat flux of zero enhances the conduction heat
transfer rate with an increase in the Reynolds variety, while
contrary behaviour was observed when the system was
subjected to a heat flux. In comparison to the thermal
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 112
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
conduction in water, the higher heat transfer rate by means
of conduction increased to 32.3% for a ferrofluid with 2
Vol% of concentration at a variety Reynolds Number of
400 and under a magnetic flux with a magnitude of 800 G.
In this assignment, different heat fluxes were applied on the
pipe to observe the effects of heat transfer enhancement by
using different magnetic fields with magnetic oxide Fe3O4.
2. Nanofluid Preparation and Properties
Twenty minutes before each experiment is executed, the nanoparticles and purified water were incorporated directly
with a mixer at (2400 rpm), with the volume fraction used in the experiments being (π = 0, 0.3, 0.6 and 0.9 percent by
volume). The test rig was performed by using a water volume of 5 L. Equation (1) specifies the percentage relation for the
determination of the volume concentration:
𝜑 =𝑣𝑜𝑙𝑢𝑚𝑒 𝑜𝑓 𝑛𝑎𝑛𝑜𝑝𝑎𝑟𝑡𝑖𝑐𝑙𝑒
𝑣𝑜𝑙𝑢𝑚𝑒 𝑜𝑓 𝑛𝑎𝑛𝑜𝑝𝑎𝑟𝑡𝑖𝑐𝑙𝑒 + 𝑣𝑜𝑙𝑢𝑚𝑒 𝑜𝑓 𝑤𝑎𝑡𝑒𝑟 × 100 (1)
𝜑 =(𝑚 𝜌⁄ )𝑛𝑎𝑛𝑜𝑝𝑎𝑟𝑡𝑖𝑐𝑙𝑒
(𝑚 𝜌⁄ )𝑛𝑎𝑛𝑜𝑝𝑎𝑟𝑡𝑖𝑐𝑙𝑒 + (𝑚
𝜌⁄ )𝑤𝑎𝑡𝑒𝑟× 100 (2)
The properties of nanoparticle and base fluid (viscosity, density and specific heat) are listed in Table (1) below.
Table I
material properties. [18].
Substance
Averagedi
ameter
(nm)
Density
(Kg/m3)
Thermal
conductivity
(W/m.K)
Specific
heat
(J/kg.K)
viscosity
(pa.s)
Fe3O4 80 5180 80.4 670 -
Water - 997 0.607 4180 0.000891
The measurement of the density as well as the specific heat of a nanofluid can be evaluated by applying the mixture laws of
convection shown in equations (3) and (4) [19]:
𝐶𝑛𝑓 = (1 − 𝜑)𝐶𝑏𝑓 + 𝜑𝐶𝑛𝑝 (3)
𝜌𝑛𝑓 = (1 − 𝜑)𝜌𝑏𝑓 + 𝜑𝜌𝑛𝑝 (4)
Brickman [20] explained viscosity correlation as it applies to concentrated particle suspension:
𝜇𝑛𝑓 = (𝜇𝑏𝑓
(1 + 𝜑)2.5) (5)
In order to determine the thermal conductivity, the Wasp model is taken into account [21]:
𝐾𝑚 = 𝐾𝑓 [2 + 𝐾𝑝𝑓 + 2∅(𝐾𝑝𝑓 − 1)
2 + 𝐾𝑝𝑓 − ∅(𝐾𝑝𝑓 − 1)] (6)
Where:
𝐾𝑝𝑓 =𝐾𝑝𝐾𝑓
(7)
3. Experimental Setup
The experiment was executed with a tube of copper of
(0.014, 0.0158 m) inner and outer diameters and (1.5 m)
test section length, helical heat exchanger nanofluid tank,
pumps, flow meters, thermos recorder, variac, electric
board, magnets and fittings, as shown in Figure (1). The
copper tube is heated uniformly by wrapping it with a
Nichrome heater of 2000 watt. To achieve a uniformed heat
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 113
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
flux, the outer layer of the pipe was subjected to an
electrical current using a coil. The electrical fibreglass
insulator winds through the tube. To insulate the electrical
heater, drilled ceramic bead elements were placed around
the wire heater and then the wire heater is wound around
the tube. Aluminium foil and sectional pipe insulation glass
wool form were used to reduce heat despite of this.
Temperature was gauged using eight thermocouples (k–
type), which allowed determining the temperature in
different test rig points. On the contrary, in order to
measure temperature along the outer layer of the tube
heated section, six thermocouples were used. The
thermocouples were located along the test section with a
distance of 22 cm between them. Two immersed
thermocouples were used to measure the fluid temperatures
at the inlet and outlet of the pipe. A stainless steel tank of
(24 L) capacity was used to supply the pump with the
required amount of working fluid. The spiral heat
exchanger consisted of a copper tube coil with a diameter
of 24 L. A coil was then placed in a stainless steel tank of
125 L capacity filled with re-circulating water. To measure
the pressure drop along the test section, a manometer U-
Tube type with CCL4, Carbon Tetrachloride, was used.
Magnets were used in this experimental work as illustrated
in Table (2). It was determined by the researchers using a
gauss meter [17].
Table II
strength of the magnet.
Magnet type Number of
magnet used
Strength at center of
pipe (20 mm). (Gauss)
Strength of magnet at
surface (Gauss)
Ferrite 5 600 1000
http://www.zhaobao-magnet.com/product/77.shtml?gclid=*
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 114
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
Fig. 1. Diagram of experimental apparatus.
The experiment was conducted with distilled water, nanofluid: Iron Oxide (Fe3O4- distilled water) with the volume
fraction (φ = 0. 3, 0.6 and 0.9 % by volume), magnetic field with each concentration with the intensity of (0.1Tesla),
different constant heat fluxes (12.7, 15.9, 19.8 kw/m2), and different inlet temperatures (23, 45) o C. All of these tests were
carried out under a turbulent flow at the entrance, with magnitudes of Reynolds Number from (3930 to 7860), heat fluxes
of (12.7 to 19.8 kW/m2) and flow rates of (2, 3, 3.5 and 4 L/min).
4. Data Reduction
Equation (8) specifies the heat transfer rate produced by an electrical current, which is the heat flux applied to the outer
layer of the tube:
𝑃 = 𝑉 × 𝐼 (8)
The heat transfer rate exchanged to the nanofluid from the heating wire can be determined by applying equation (9):
𝑄𝑛𝑓 = �̇� × 𝐶𝑛𝑓 × (𝑇𝑜 − 𝑇𝑖) (9)
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 115
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
The balance between the heat input P and the nanofluid𝑄𝑛𝑓 can be computed by using equation (10), where common
values are under 10%:
𝜂 =𝑃 − 𝑄𝑛𝑓
𝑃< 10 % (10)
The heat flux is given by:
�̇� =𝑄𝑛𝑓𝐴𝑠
=𝑄𝑛𝑓
𝜋𝐷𝑜𝐿 (11)
The following steps indicate the processes to determine the local heat transfer coefficient:
1. The following values are known: {�̇�, Tso(x)}.
2. The temperature on the outer surface of the tube, Tsi(x), can be determined from the following equation [21]:
�̇� =𝑄𝑛𝑓𝐴𝑠
=2𝜋𝑘∆𝑥[𝑇𝑠𝑜(𝑥) − 𝑇𝑠𝑖(𝑥)]
𝜋𝐷∆𝑥 × ln (𝑟𝑜
𝑟𝑖)
=2𝑘[𝑇𝑠𝑜(𝑥) − 𝑇𝑠𝑖(𝑥)]
𝐷 × ln (𝑟𝑜
𝑟𝑖)
(12)
3. The mean temperature of the bulk fluid, Tm(x) at section (x):
𝑑𝑞 = 𝑞"𝑝𝑑𝑥 = �̇� 𝐶𝑛𝑓 𝑑𝑇𝑚 (13)
Where 𝑝 = 𝜋𝐷𝑖 is the
𝑑𝑇𝑚 =𝑞"𝜋𝐷𝑖�̇�𝐶𝑛𝑓
𝑑𝑥 (14)
The changes in the mean of the bulk fluid temperature in the function of position x is computed by an integration of
equation (14). The limits of the integration are from 0 to x, and this yields to:
𝑇𝑚(𝑥) = 𝑇𝑖 +(𝑇𝑜 − 𝑇𝑖)
𝐿 𝑥 (15)
Hence, the local heat transfer coefficient is computed from equation (16):
ℎ(𝑥) =�̇�
𝑇𝑠𝑖(𝑥) − 𝑇𝑚(𝑥) (16)
The local Nusselt Number is given by [2]:
𝑁𝑢(𝑥) =ℎ𝑥𝐷
𝑘𝑛𝑓 (17)
Equation (18) can be used to determine the mean Nusselt Number for the thermal developing zone:
𝑁𝑢 =1
𝐿∫ 𝑁𝑢 (𝑥)
𝐿
0
𝑑𝑥 (18)
Based on the empirical correlation of Gnielinski’s [22] as shown in equation (19), the experimental magnitudes of the
Nusselt Number were compared [23].
𝑁𝑢 =(
𝑓
2) (𝑅𝑒 − 1000)𝑃𝑟
1 + 12.7 (𝑓
2)
0.5(𝑃𝑟
3
2 − 1) (19)
And represented in Figure (2)
Where
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 116
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
𝑓 = (1.58𝑙𝑛𝑅𝑒 − 3.82)−2 𝑓𝑜𝑟 2300 < 𝑅𝑒 < 5 × 106,0.5 < 𝑃𝑟 < 2000
Experimental Friction Factor
The Darcy Friction Factor can be determined by using equation (20), which is based on the pressure drop [24].
𝑓 =2 × ∆𝑝 × 𝐷
𝐿 × 𝜌 × 𝑢2 (20)
Where:
∆𝑃 = 𝛾𝑛𝑓 (𝜌𝐶𝐶𝑙4𝜌𝑛𝑓
− 1) × 𝐻 (21)
This is the pressure drop across the test section. The comparison of the present work with Gnielinski’s and Blasius
equation (𝑓 = 0.316𝑅𝑒−0.25) for distilled water, to validate the rig performance, show positive concordance.
5. Results and Discussion
The Nusselt Number variation with the Reynolds Number at different uniform heat fluxes and (a, b, c), using a volume
concentration of 0.3%, 0.6% and 0.9%, respectively, and shown in Figures (2) without magnetic and Figures (3) with
magnetic field with the strength of (0.1Tesla), the increase in heat flux, volume concentration, Reynolds number, and
magnetic field due to the increase in Nusselt number and enhanced heat transfer.
(a)
(a)
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 117
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
(b)
(b)
(c)
(c)
Fig. 2. The impact of Reynolds number on average Nusselt number
with different constant heat flux and without magnets. Fig. 3. The impact of Reynolds number on average Nusselt number
with different constant heat flux and with magnets.
The average Nusselt number increases with a surge in the concentration of ferrofluid and magnetic strength for each
concentration, and decreases with an increase in the number of Reynolds since the effective thermal conductivity of
nanofluid decreases with an increase in the volume fraction of nanoparticles as shown in Figures (4) and (5). The effect of heat flux (nanoparticles migration from the surface with heat flux increase) with the magnetic field is due to the fact that
the viscous sub-layer is very small (at the entrance region), and the particles accumulate on the surface increasing in
fraction, both of these reasons due to the increase in heat transfer [16].
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 118
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
(a)
(a)
(b)
(b)
(c)
(c)
Fig. 4. The impact of Reynolds number on Nusselt number with
different constant heat flux, volume concentration and without
magnets.
Fig. 5. The impact of Reynolds number on Nusselt number with
different constant heat flux, volume concentration and with
magnets.
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 119
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
The effect of inlet temperature on heat transfer is discerned when the temperature increases, the heat transfer decreases as
shown in Figure (6) and the friction factor decreases when temperature increases as shown in Figure (7). The pressure drop
is increased with the increase of Reynolds number, ferrofluid concentration and the magnetic field intensity. It was
acknowledged that the friction factor heightens in magnitude when the volume concentration and the intensity of the magnet
increased, and the friction factor diminishes in magnitude when the Reynolds number decreased, as illustrated in Figure
(8).
Fig. 6. the impact of Reynold on Nusselt number with different
inlet temperature and Volume concentration =0.9% and constant
heat flux =19.8Kw.m2.
Fig. 7. the impact of Reynold on friction factor with different inlet
temperature and Volume concentration =0.9% and constant heat
flux =19.8Kw.m2.
Fig. 8. The impact of Reynolds number on friction factor without
magnets at different constant heat flux. Fig. 9. The impact of Reynolds number on friction factor with
magnets at different constant heat flux.
The increase in the Nusselt Number of the magnetic nanofluid with respect to the water reaching maximum value is
presented in Table (3). Table III
The maximum value of enhancement.
Volume concentration
%
Enhancement %with
B=0.0Tesla
Enhancement %with
B=0.1Tesla
Heat flux Kw/m2 Heat flux Kw/m2
12.7 15.9 19.8 12.7 15.9 19.8
0.3 11.6 6.4 6.9 13 10 8.2
0.6 14.98 9.5 8.6 16.7 11.5 9.9
0.9 18.3 13.1 12.7 20.1 14.1 13.9
-
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:20 No:03 120
I J E N S 2020 IJENS JuneIJENS © -IJMME-7171-202303
6. Conclusions
This article discussed the impacts of heat flux and magnetic
nanofluid with a magnetic field on heat transfer in a
horizontal pipe, thus the following points were derived.
The nanofluid employed, Fe3O4– distilled water with a
particle size of 80 nm resulted in an enhancement in the
heat transfer as well as in the Nusselt Number. The
nanoparticles displayed characteristics of heat transfer
greater than the base fluid (distilled water). The average
enhancement is (20.1 percent) for the magnetic nanofluid
at a concentration of 0.9 percent and a magnetic field of 0.1
Tesla with the heat flux of 12.7 kW/m2 while the minimum
enhancement is (1.5 percent) for the magnetic nanofluid at
a concentration of 0.3 percent with the heat flux of 19.8
kW/m2 without the magnetic field. Applying a magnetic
field often promotes heat transfer enhancement, as the
magnetic field produces higher numbers of Nusselt as
compared to water-distilled and magnetic nanofluid.
Conclusively, with higher inlet temperature, the heat
transfer decreases.
References
[1] Abdullah, M.F.; Zulkifli, R.; Harun, Z.; Abdullah, S.;
Ghopa,W.A.W.; Abbas, A.A. Experimental investigation on
comparison of local Nusselt number using twin jet
impingement mechanism. Int. J. Mech. Mechatron.
Eng.IJMME-IJENS 2017, 17, 60–75.
[2] Sheikholeslami, M.; Gorji-Bandpy, M.; Ganji, D.D. Review of
heat transfer enhancement methods: Focus on passive methods
using swirl flow devices. Renew. Sustain. Energy Rev. 2015,
49, 444–469.
[3] Abdullah, M, F. Zulkifli, R. Harun, Z. Abdullah, S. WAW
Ghopa. 2018. Experimental and Numerical Simulation of the
Heat Transfer Enhancement on the Twin Impingement Jet
Mechanism. Energies. 11(4), 927.
[4] Mahir Faris Abdullah, Humam Kareem, Rozli Zulkifli, Zambri
Harun, Shahrir Abdullah, Wan Aizon, W Ghopa, Heat
Transfer and Flow Structure of Multiple Jet Impingement
Mechanisms on a Flat Plate for Turbulent Flow, International
Journal of Mechanical & Mechatronics Engineering IJMME-
IJENS Vol:19 No:03.
[5] Abdullah, M.F.; Zulkifli, R.; Harun, Z.; Abdullah, S.;
Ghopa,W.A.W. Studying of convective heat transfer over an
aluminum flat plate based on twin jets impingement
mechanism for different Reynolds number. Int. J. Mech.
Mechatron. Eng. 2017, 17, 16.
[6] Faris Abdullah, M.; Zulkifli, R.; Harun, Z.; Abdullah, S.; Wan
Ghopa, W.A.; Soheil Najm, A.; Humam Sulaiman, N. Impact
of the TiO2 Nanosolution Concentration on Heat Transfer
Enhancement of the Twin Impingement Jet of a Heated
Aluminum Plate. Micromachines 2019, 10, 176.
[7] Xuan, Y.; Roetzel, W. Conceptions for heat transfer
correlation of nano fluids. Int. J. Heat Mass Transf. 2000,43,
3701–3707.
[8] Q. Li, Y. Xuan, Exp. Therm. Fluid Sci. 33 (2009) 591–596.
[9] Q. Li, Y. Xuan, J. Wang, Exp. Therm. Fluid Sci. 30 (2005)
109–116.
[10] N. Hatamia, A. Kazemnejad Banaria, A. Malekzadehb, A. R.
Pouranfardc, The effect of magnetic field on nanofluids heat
transfer through auniformly heated horizontal tube, Physics
Letters A, The effect of magnetic field on nanofluids heat
transfer through auniformly heated horizontal tube.
[11] Razi, P., & Saeedinia, M. (2011). Pressure drop and thermal
characteristics of CuO –base oil nano fl uid laminar fl ow in fl
attened tubes under constant heat flux , 38, 964–971.
[12] Al-dulaimy, F. M. A. (2013). Heat Transfer Enhancement in
MCHS using Al2O3/ Water Nanofluid, 2012.1-2.
[13] Saeedinia, M., & Nasr, M. (2012). Experimental study on heat
transfer and pressure drop of nanofluid flow in a horizontal
coiled wire inserted tube under constant heat flux.
Experimental Thermal and Fluid Science, 36, 158–168.
[14] Malvandi, a., Kaffash, M. H., & Ganji, D. D. (2015).
Nanoparticles migration effects on magnetohydrodynamic
(MHD) laminar mixed convection of alumina/water nanofluid
inside microchannels. Journal of the Taiwan Institute of
Chemical Engineers, 52, 40–56.
[15] M. Sheikholeslami, M.M. Rashidi, and D.D. Ganji. Effect of
non-uniform magnetic field on forced convection heat transfer
of Fe3O4-water nanofluid.Comput. Methods Appl. Mech.
Engrg.,accepted manuscript: 15 June 2015.
[16] N. Hatami, A. Kazemnejad Banari, A. Malekzadeh, and A.R.
Pouranfard. The effect of magnetic field on nanofluids heat
transfer throughauniformly heated horizontal tube. Elsevier
Inc. Physics Letters A. Article in press, 2016.
[17] Abdulhassan A. Karamallah, Laith Jaafer Habeeb,and Ali
Habeeb Asker. The Effect of Magnetic Field with nanofluid on
Heat Transfer in a Horizontal Pipe. Al-Khwarizmi
Engineering Journal, Vol. 12, No. 3, P.P. 99- 109(2016).
[18] Mohammad Goharkhah, Samira Gharehkhani,Sepehr Fallah,
and Mehdi Ashjaee. Dynamic measurement of ferrofluid
thermal conductivity under anexternal magnetic field.Heat and
Mass Transfer,Springer,December 2018.
[19] L. Syam Sundar, M.T. Naik, K.V. Sharma, M.K. Singh
andT.Ch. Siva Reddy. Experimental investigation of forced
convection heat transfer and friction factor in a tube with
Fe3O4 magnetic nanofluid. Elsevier Inc. Experimental
Thermal and Fluid Science 37 (2012) 65–71.
[20] H.C. Brinkman, The viscosity of concentrated suspensions and
solutions,Journal Chemistry Physics 20 (1952) 571–581.
[21] F.J. Wasp, Solid–liquid slurry pipeline transportation, Trans.
Tech., 1977.
[22] V. Gnielinski. New equations for heat and mass transfer in
turbulent pipe andChannel flow, International Chemical
Engineering 16 (1976) 359–368.
[23] Holman J. P. Heat Transfer, Tenth Edition, by the McGraw-
Hill Companies, Inc., 2010.
[24] Frank M. White. Fluid Mechanics, Fourth edition, MacGraw-
Hill books, 2001.
https://www.researchgate.net/profile/Humam_Kareem/publication/335819819_Heat_Transfer_and_Flow_Structure_of_Multiple_Jet_Impingement_Mechanisms_on_a_Flat_Plate_for_Turbulent_Flow/links/5d7cf214a6fdcc2f0f6f6440/Heat-Transfer-and-Flow-Structure-of-Multiple-Jet-Impingement-Mechanisms-on-a-Flat-Plate-for-Turbulent-Flow.pdfhttps://www.researchgate.net/profile/Humam_Kareem/publication/335819819_Heat_Transfer_and_Flow_Structure_of_Multiple_Jet_Impingement_Mechanisms_on_a_Flat_Plate_for_Turbulent_Flow/links/5d7cf214a6fdcc2f0f6f6440/Heat-Transfer-and-Flow-Structure-of-Multiple-Jet-Impingement-Mechanisms-on-a-Flat-Plate-for-Turbulent-Flow.pdfhttps://www.researchgate.net/profile/Humam_Kareem/publication/335819819_Heat_Transfer_and_Flow_Structure_of_Multiple_Jet_Impingement_Mechanisms_on_a_Flat_Plate_for_Turbulent_Flow/links/5d7cf214a6fdcc2f0f6f6440/Heat-Transfer-and-Flow-Structure-of-Multiple-Jet-Impingement-Mechanisms-on-a-Flat-Plate-for-Turbulent-Flow.pdf