studying of convective heat transfer over an aluminum flat plate...
TRANSCRIPT
International Journal of Mechanical & Mechatronics Engineering IJMME-IJENS Vol:17 No:06 1
170206-3434-IJMME-IJENS © December 2017 IJENS I J E N S
Studying of Convective Heat Transfer Over an
Aluminum Flat Plate Based on Twin Jets
Impingement Mechanism for Different Reynolds
Number Mahir Faris Abdullah*, Rozli Zulkifli*, Zambri Harun, Shahrir Abdullah,
Wan Aizon W.Ghopa
Department of Mechanical Engineering and Materials, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor
*Corresponding Author [email protected], [email protected]
Abstract-- The impact of Reynolds number, jet-to-plate spacing,
and jet-to-jet distance on the distribution of local heat transfer to
impinging circular air jet in an aluminium flat surface is studied
through an experimental investigation. For several decades, this
has been an active research topic, Based on nozzle exit condition,
the Reynolds number is 17,000, 13,000 and 10,000, nozzle-to-
nozzle spacing 1-3 cm and jet-to-plate distance is 1, 6 and 11 cm.
Graphtec GL820 multichannel data logger was used to collect
thermal data, while an infrared thermal imaging technique
employing Fluke Ti25 was used to obtain thermal images for
capturing the temperature distribution in front of the aluminium
foil. The analysis of distributions of local heat transfer is based on
theoretical foretelling and experimental results of the fluid flow
characteristics in different places of jet impingement. The heat
flux of the jet impinging on a flat plate surface was measured
through an experimental setup by employing a heat flux micro-
sensor placed away at radial positions of 0–14 cm from the
stagnation point. The heat flux measurement was considered for
the calculation of local Nusselt (Nu) number for air jet
impingement as well as the local heat-transfer coefficient. Based
on the results, calculation of the local Nusselt number was done at
all mensuration points. Moreover, in a steady jet, with increase in
the Re number, the Nu number also increases. On analysing the
connection between the outcomes, it was observed that higher
Reynolds number led to higher localised heat flux in the air jet that
was steadily heated, which was impinged on the flat surface of the
plate. Also, the best heat-transfer coefficient was found at the
region near to the aluminium plate and nozzles as well on the
distance between the nozzles when be close, particularly at the
plate’s first points, which decreased gradually with increase in the
distance from the centre of the aluminium plate for all Reynolds
numbers employed.
Index Term-- Local Nusselt number; enhancement heat transfer;
twin jets impingement; Reynolds number, heat flux;
INTRODUCTION
An important factor that has resulted in high usage of
impingement jets is the high convective heat transfer
coefficient, which also enhances the overall efficiency of many
applications [1-4]. Many industrial applications employ jet
impingement as it allows producing high heat transfer rates. It
is employed in film cooling, turbine blade cooling, bearing
cooling, automobile windshield de-icing/defogging, electronics
cooling, glass tempering and drying of paper [5-8]. Many
studies have been published on enhancement heat transfer by
impingement jet, both in terms of experimental and numerical
aspects [9-11]. Most of the information that is available focuses
on impinging jets’ heat transfer characteristics for normal jet
impingement on a flat surface.
The impact of different velocities of twin jets on the heat
transfer rate number is studied through an experimental
investigation by employing the twin jet impingement
technique. Impinging jets have a broad range of industrial
applications and are crucial in the industry for cooling and
heating applications. In several applications, to achieve
efficient heat transfer rates, the fluids’ thermal conductivity
needs to be enhanced [12, 13]. The wide popularity of jet
impingement heat transfer technique in research studies is
attributed to its ability to produce high heat transfer coefficients
via forced convection action. In many industrial applications,
impinging jets are employed in a broad range of configurations
and disciplines, such as in the food industry, textile drying,
electronic chip cooling, turbine blade cooling, metal annealing
and glass tempering. Comprehensive research has been done to
study how applying twin impinging steady jets can affect the
heat transfer and flow characteristics. Most studies are based on
enhancing heat transfer by employing single and twin
impingement jets [14-16].
Zulkifli and Sopian [17] conducted many experimental studies
on mechanism of jet impingement heat transfer and presented
the results. Three Re numbers were used for measurements,
namely 16,000, 23,300 and 32,000. The recorded value of the
heat flux was referred to calculate the local Nusselt number of
the twin air jet impinging on a plate. A heat flux sensor was
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employed to measure the heat flux. Their results showed higher
values of the calculated local Nu numbers for all radial
locations, even those away from the stagnation point. A high
Nu number at localised radial positions can be achieved through
high instantaneous velocity, as demonstrated by the velocity
profile plotted in the experiment’s first part.
The local Nu numbers of the pulsating and steady jets were
compared by Zulkifli et al. [18] with different jet velocities,
frequencies, and radial locations away from the stagnation
point. The steady-state heating of a surface plate measured
patterned was evaluated by Dobbertean and Rahman [19]under
free liquid jet impingement. The cooled plate was applied with
a constant heat flux. Re numbers were calculated, which ranged
from 500 to 1,000 with different depths. The local heat-transfer
coefficient decreased with increasing Re number.
The heat-transfer characteristics were studied by Wang et al.
[20] via impingement jet at high-temperature surface plate
measured to determine the effect of surface plate temperature,
jet velocity and water temperature on heat transfer
characteristics for different engineering applications. Water
temperature, Jet velocity and surface temperature were found to
influence heat flux maximum.
High-velocity small-slot jet impingement was considered for
experimentally studying heat-transfer characteristics [21],
which was boiled on Nano scale modification flat in an effort
to increase the heat flux of critical. This also allowed
investigating the quantitative effects as well as surface-
distinguishing parameters’ effect mechanism. Moreover, the jet
impingement heat transfer have been investigated by authors in
[22] at a concave surface of the wing leading edge (correlation
development and experimental study). At the stagnation point,
heat-transfer increases with the Reynolds and <alpha>
numbers, and at the stagnation point, the preferable heat-
transfer efficiency that conforms to specific operating
parameters is achieved by maintaining an optimal nozzle–plate
distance (H/D).
The authors in [9] studied the characteristics of transient heat-
transfer on a surface plate by employing air-jet impingement
circular. While the air jet started its impingement, the local
Nusselt number increased rapidly. However, the increase in Nu
speed gradually decelerated with cooling down of the
impinging jet at the fifty to eighty s region. Moreover, the heat
transfer and fluid flow were studied by the authors in [23] for a
slot impingement jet with a little nozzle-to-plate surface
spacing, which showed a secondary peak in the Nusselt
number. Based on the findings, it was observed that in the
stagnation point, the mean velocity profile deviated from the
standard law of the wall. The Nusselt number was better when
compared to the condition where there were no perturbations,
and near to the location of the secondary Nu number peak,
large-scale vertical structures were spotted. The impact of
nozzle-to-plate surface distance on the fluid flow and heat
transfer of the submerged jet impingement was studied by [24].
Based on the results, the Nu number and pressure were found
to be divided into three zones. In zone I, there was a drastic
increase in the pressure and Nusselt number with decrease in
nozzle-to-plate distance. In zone II, it was observed that there
was negligible impact of the nozzle-to-plate distance on the
pressure and Nusselt number, in zone III, the pressure and
Nusselt number were observed to monotonically decrease with
rise in nozzle-to-plate surface spacing. The impact of
frequency, amplitude and pulse shape on time-averaged and
instantaneous convective heat transfer was theoretically
examined by Mladin and Zumbrunnen [25] in a planar
stagnation area by employing a detailed boundary layer style.
In their study, they recorded the presence of a threshold
Strouhal number, St>0.26, below which there would be no
enhancement of heat transfer effects significantly.
Moreover, comprehensive data still remain limited regarding
the impact of jet impingement on local heat-transfer profiles,
which are placed at radial positions at plate from the stagnation
point towards the plate surface end, and additional investigation
is required. The main objective of the current study is to
examine the twin circular jet heat transfer characteristics for
various Reynolds number as well as put emphasis on the Nu
number and local heat transfer coefficient. Moreover, the
Nusselt numbers on the radial distance are compared for the
aluminium flat plate impingement jet heat transfer. On the
stagnation point, the local Nusselt number is considered to be
radially symmetrical.
EXPERIMENTAL SETUP
To guarantee a flat impingement surface, the aluminium foil
was firmly held. A heat flux-temperature sensor and a square
aluminium foil of 30×30×0.4 cm dimension were settled on the
surface measured of the aluminium foil by employing a high-
conductivity heat sink complex and the impact of air gaps,
between the sensors and aluminium surface, was minimised by
applying Kapton tape.
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Fig. 1. The positions of thermocouples and thermal flux sensor on an aluminium measured surface
Figure 1 displays the positions of thermocouples and the heat
flux (thermal flux) sensor on an aluminium plate surface. For
all models, the nozzles’ arrangement is presented in Figure 2.
A square aluminium foil with surface dimensions and thickness
(L) has been employed as a jet impingement objective.
Fig. 2. Arrangement of 9 models of nozzles
During this article, two K-type thermocouples have been
employed, which were kept 120 mm apart and were linked to
an aluminium plate to keep an eye on the plate temperature. The
comet model H7331 was employed to collect the data from all
sensors, which include static pressure (pitot tube), temperature,
chamber humidity, due point and atmospheric pressure [26].
Uniform distribution of temperature throughout the foil
thickness was achieved due to small thickness of the aluminium
foil and high-thermal conductivity (k) to ensure accurate
temperature measurement at the surface [18]. The Graphtec
GL820 multichannel data logger was used to collect thermal
data. The temperature distribution at the aluminium foil was
captured through a Fluke Ti25 Infrared thermal imager, which
is appropriated for various kinds of thermocouples (i.e. J, B, S,
K, T, E and R types) [18].
Figure 3 shows TJIM with the aluminium foil objective
employed in our work in real life.
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Fig. 3. Twin jet impingement mechanism
EXPERIMENTAL EXECUTION AND METHODOLOGY
A graphical drawing of the experimental instruments setup is
presented in Figure 4. The main compressor was used to supply
compressed air of 4 psi (0.275 bar). The steps of the
experimental procedures are as follows. First, we set the air
flow for each jet to achieve Renumbers of 17,000, 13,000 and
10,000 by employing a pitot tube to measure the twin jet centre
point’s velocity at the nozzle exit. Second, in the TJIM, we
installed a digital airflow meter to determine the velocity and
flow rate of the steady jet flow by maintaining a constant
temperature of 100°C. In this experimental setup, the flow
meter anemometer employed was take up from Dantec
Dynamics. Flow meter device was positioned between the
TJIM pipes passing the twin jets and the refrigerated air dryer.
Meanwhile, the velocity acquired from the pitot tube was
employed to run the twin impingement jets, and a flow meter
was used to confirm this velocity. Then, the highest Re
number=17,000 obtained along with 13,000 and 10,000 was
considered for capturing the heat transfer from the data logger
per unit time (q) as well as to measure the convective heat-
transfer coefficient (h) in terms of units (W/(m²K)).
An air reservoir would store the compressed air, which was
controlled by a ball valve. A refrigerated air dryer was
employed to remove moisture from the compressed air. To
evade fluctuation from the cyclic on/off of the central
compressor as well as control air pressure, a regulator and a
pressure gauge were installed, respectively. On the contrary, a
digital air flow meter (VA 420, CS Apparatus) was employed
to measure the air flow rate. Through the installed two identical
pipe lines, the air would be passed to the twin jet impingement
mechanism (TJIM). A ball valve would control each line to
guarantee similar flow characteristics for the twin jets.
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Fig. 4. A schematic diagram of thermal imaging setup and heat-transfer experiment for twin jets impingement
Subsequently, for the 15 points, we then calculated the localised
Nu number at a measured radial distance surface from the
stagnation point. Thirdly, the pressure difference was created
through the differential pressure as an analogue that was used
as input for data acquisition Ni 6008, which is transformed to a
signal and subsequently transformed to a value in the form of
Scilab code to carry out the results. This setting up of
differential pressure was carried out between the Ni 6008 data
acquisition and the pitot tube. Fourth, we place the aluminium
foil at 1-11 cm away from the nozzle exit towards the measured
surface, where the space amongst the twin nozzles was 1-3 cm.
This meant that the experimental test required developing of
nine models. This preparation was done for determining the
surface temperature and the heat flux on the impingement
surface. Fifth, the temperature distribution and the thermal
images at the surface were captured simultaneously by the
Fluke Ti25 Infrared thermal imager until a steady state was
reached by the heat transfer. The steady heat transfer would
occur only when there was an equilibrium between the heat lost
by natural convection and heat inlet to the aluminium foil by
the jets. To reduce the experimental error, a total of 675 samples
were recorded during the heat flux–temperature sensor
mensuration, and figure 5 presents the average value.
Fig. 5. Twin jets impingement impact
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Before these experiments, we kept constant various parameters related to the thermal imager and TJIM as showed in Table 1.
Table I
constant value parameters
Constant parameter Value
Nozzle-to-plate distance 1 to 11 cm
Nozzle-to-nozzle spacing 1 to 3 cm
Reynolds number
17,000,13,000,
10,000
Ambient temperature 24oC
Aluminium plate temperature 100oC
Emissivity of foil aluminium 0.97
Background temperature 25oC
Transmission 100%
We need to consider fluid mechanics and heat-transfer to
address jet impingement heat transfer problems. Consequently,
dimensionless numbers that are related also have to
be specified.
The computation of Re number (the velocity) of the twin air jet,
which also correlates to the inertial forces because of viscous
forces, is given as follows [19]:
Revd
(1)
when μ represents the fluid’s dynamic viscosity (Pa·s or kg/(s)
or N·s/m2), ν signifies the fluid velocity x (m/s) and ρ denotes
the fluid density (kg/m3).
Forced convection is dominated during the jet impingement
heat transfer. The Newton’s law equation can be employed to
determine the heat-transfer coefficient (h), i.e.[27]
( )s jQ h T T , which gives:
s j
qh
T T
(2)
When sT represents the surface temperature,
jT signifies the
air jet temperature and q denotes the amount of heat flux
(W/m2).
The Nu number equation can be used to calculate the ratio of
convective to conductive heat transfer as follows [28]:
hdNu
k (3)
When h indicates the convective heat-transfer coefficient, d
represents the pipe diameter and k signifies the fluid’s thermal
conductivity.
RESULT AND DISCUSSION
As presented in Figures 6–14, to obtain the Nu numbers, heat-
transfer enhancement tests were performed with defined the
distance between nozzle and surface plate (H/d=1 to 11 cm) and
nozzle-to-nozzle spacing (S/d=1,2 and 3cm). These results
verify that the use of the TJIM improved Nu number. Further,
employing the nine models with different velocities resulted in
steady jets giving different Nu numbers.
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Fig. 6. Values of Nusselt number at H/d=1 and S/d=1 (Model 1)
As per Figure 6, the first model included a distance of H/d=1
cm between the aluminium plate surface and the nozzles and
spacing of S/d=1 cm between nozzles. In the first point, the
heat-transfer enhancement reduced gradually with the moving
away of the heat flux sensor towards the end of the surface flat
plate until it reached almost 44.3 at Re=17,000, 41.6 at
Re=13,000 and 35.3 at Re=10,000 while the maximum Nusselt
numbers were 136.6 at Re=17,000, 122.7 at Re=13,000 and
116.4 at Re= 10,000.
Fig. 7. Nusselt number values at H/d=6 and S/d=1 (Model 2)
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Figure 7 shows the second model with spacing of S/d=1 cm
between nozzles and a distance of H/d=6 cm between the
aluminium plate surface and the nozzles. In the first four points,
the heat-transfer enhancement reduced gradually with opposite
movement of the twin jets in a horizontal direction towards the
end of the plate surface until it arrived near to 48.3 when
Re=17,000, 44.7 when Re=13,000, and 38 when Re=10,000,
with the maximum Nu numbers at almost 136.4 at Re=17,000,
127.6 at Re=13,000 and 118.9 at Re=10,000.
Fig. 8. Values of Nusselt number at H/d=11 and S/d=1 (Model 3)
Figure 8 above shows values of the Nusselt number where the
spacing was S/d = 1 cm between nozzles and the distance was
H/d=11 cm between the aluminium plate surface and the
nozzles. In the first points, the heat-transfer enhancement
reduced gradually with movement away from the heat flux
sensor towards the end of the aluminium plate until it arrived
almost 48.3 at Re=17,000, 41.4 at Re=13,000 and 35.5 at
Re=10,000, while the maximum Nu numbers were near to
149.4 at Re=17,000, 136.8 at Re=13,000 and 120.8 at
Re=10,000.
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Fig. 9. Values of Nusselt number at H/d=1 and S/d=2 (Model 4)
Figure 9 shows the spacing was S/d = 2 cm between nozzles
and the distance was H/d = 1 cm between the aluminium plate
surface and nozzles (fourth model). In the first 4 points, the
heat-transfer enhancement reduced gradually with the
movement away from the twin impingement jets in the opposite
horizontal direction towards the end of the flat plate surface
until it arrived 48.9 at Re=17,000, 42 at Re=13,000 and 36.3
when Re=10,000 and the maximum Nu numbers were almost
156.8 at Re=17,000, 135.3 at Re=13,000 and 119.4 at
Re=10,000.
Fig. 10. Values of Nusselt number at H/d=6 and S/d=2 (Model 5)
Figure 10 above shows the Nu values when the spacing was
S/d=2 cm amongst nozzles and the distance was H/d=6 cm
between the aluminium plate surface and the nozzles. In the
first 4 points, the heat-transfer enhancement reduced gradually
with the movement of the air twin jets in the opposite horizontal
direction towards the end of the flat plate surface until it reached
almost 52.1 at Re=17,000, 46.2 at Re=13,000 and 39.7 at
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Re=10,000 and the maximum Nu numbers were 143.7 at
Re=17,000, 131.3 at Re=13,000 and 117.09 at Re=10,000.
Fig. 11. Values of Nusselt number at H/d=11 and S/d=2 (Model 6)
Moreover, in the first 4 points, at a radial distance of flat surface from the stagnation point, through the TJIM, the maximum Nu numbers were approximately
152.6 at Re=17,000, 136.8 at Re=13,000 and 127.1 at Re= 10,000, which reduced gradually towards the end of the aluminium flat plate surface until it reached
almost 48.5 at Re=17,000, 42.6 at Re=13,000 and 37.6 at Re= 10,000 towards the end of the aluminium plate, when the S/d=2 cm amongst nozzles and the distance was H/d=11 cm between the aluminium plate surface and the nozzles (Figure 11).
Fig. 12. Nusselt number values at H/d=1 and S/d=3 (Model 7)
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Figure 12 shows the spacing was S/d=3 cm amongst nozzles
and the distance was H/d=1 cm (seventh model) between the
aluminium plate surface and the nozzles. In the first 4 or 5
points, the enhancement of heat transfer reduced gradually with
the movement of the air twin jets in the opposite horizontal
direction towards the end of the measured surface until it
arrived almost 48.5 at Re=17,000, 42.8 at Re=13,000 and 41.2
at Re=10,000, where the maximum Nu numbers were 151.5 at
Re=17,000, 133.7 at Re=13,000 and 119.5 at Re=10,000.
Fig. 13. Values of Nusselt number at H/d=6 and S/d=3 (Model 8)
Figure 13 shows the spacing was S/d=3 cm amongst nozzles
and the distance was H/d=6 cm between the aluminium plate
surface and the nozzles (eighth model). In the first points, the
heat-transfer enhancement increased gradually. When the heat
flux sensor moved away towards the end of the aluminium flat
plate, it started decreasing until it reached almost 52.9 at
Re=17,000, 48.1 at Re=13,000 and 41.8 at Re=10,000, while
the maximum Nu numbers were around 144.8 at Re=17,000,
129.7 at Re=13,000 and 119.8 at Re=10,000.
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Fig. 14. Values of Nusselt number at H/d=11 and S/d=3 (Model 9)
Lastly, the ninth model had the maximum Nusselt numbers
where the spacing was S/d=3 cm amongst nozzles and the
distance was H/d=11 cm between the aluminium plate surface
and the nozzles; it was almost 150.5 when Re=17,000, 133.4
when Re=13,000 and 117.09 when Re=10,000. In the first 5
points, this was obtained by the TJIM with an approximate
radial distance of plate surface from the stagnation point, which
gradually reduced towards the end of the aluminium plate
surface until it arrived less than 50 at Re=17,000, 43.9 at
Re=13,000 and 39.7 at Re=10,000 towards the end of the
aluminium plate. Figure 14 displays the Nu numbers when the
spacing was S/d=3cm amongst nozzles and the distance was
H/d=11 cm between the aluminium plate surface and the
nozzles.
In outline, we can conclude that the values of Nusselt number
exhibited a reasonable change with increase in Reynolds
number values [18, 29-31]. These results looks more logically
clear on comparing with other research works that reflect the
Nu number’s behaviour qualitatively and quantitatively, when
steady or where impinging air twin jets on a hot plate surface
near the interference zone’s centre line passing to all the twin
jets’ holes towards the end of the surface plate [31]. This section
presents the results from the experimental data. Figures 15, 16
and 17 demonstrate the effect of TJIM on the surface
temperature as measured through a heat flux-temperature
sensor placed on the front of flat plate surface and the thermal
image on the surface. At the first 4 or 5 points, there is an
increase in surface temperature on the plate surface, which then
starts decreasing gradually after the 5-point distance on the
aluminium surface plate measured.
It is important to show how TJIM can impact the Nusselt
number in the midpoint or centre between the air twin jets
passing to the end of the interference zone near the terminal
aluminium plate surface. The figures demonstrate how Nu
numbers are influenced based on measurements through micro
foil sensors. The recorded Nu number was found to decrease
with increase in distance from the centre of the aluminium plate
surface towards the terminal of the surface (low rates at distant
points away from the flat plate surface centre). This result was
logical as, in this experiment, the increase in heat-transfer rate
occurred until the twin jets were close to the flat plate surface
and when under direct impact experienced by the heat flux
sensor under the twin jets air flow on the surface. There was a
gradual decrease as the distance from the centre of the
interference zone increased on Comparing to other researchers
[18, 29-31]
Figures 15, 16 and 17 present the images that were captured
through a thermal imager. These thermo images show how
TJIM affected and distributed on the plate surface measured of
the impinged target. The images are labelled with the centre of
the temperature values. The presented steady jet cases below
are for the nine models. Moreover, 18 pictures were captured
for all models, with one picture for each model at Re=17000,
13000 and 10000. In these images, some observations can be
clearly made. First, the hottest spots could be clearly seen,
which was due to the impact of twin jets impingement. Then,
after the midlevel point of temperature, an elliptical
temperature distribution can be seen. Further, higher
temperature rates were achieved through the steady jet case as
a result of high flow rates for the jets. In contrast, in TJIM, due
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to its duty principles, the lower flow rate was supplied. In
addition, Figure 15 displaying the higher centre temperature of
165.8°C when H/d=1 and S/d=2 (Fourth Model). Also, twin jets
had the highest temperature due to high sensitivity of the
thermal imager that can detect even the minimal temperature
changes between both jets. Refer Figure 15 given below.
Fig. 15. Thermographic distribution on aluminium flat plate Model (1) to (9) at Re=17,000
Figure 16 shows the thermal distributions and the heat-transfer
behaviour for the steady jet case. Nine pictures were captured
for the all different models. Some monitoring can be clearly
made in these images. First, the hottest spots can be seen
viewed, which is a result of the effect of twin jets impingement.
Then, after the midlevel point of temperature, an elliptical
temperature distribution can be seen. Higher temperature rates
were achieved by the steady jet case due to jets’ high flow rates.
In contrast, in TJIM, due to its duty principles, a lower flow rate
was supplied. As seen in Figure 16, the fourth model produced
higher centre temperature of 164.4°C when H/d=1 and 6 and
S/d=2.
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Fig. 16. Thermographic distribution on aluminium flat plate Model (1) to (9) at Re=13,000
Figure 17 shows the thermal distributions and the heat-transfer
behaviour for the steady jet case. Nine pictures were captured
for all different models. Some surveillances can be clearly made
in these images. First, the hottest spots can be seen viewed,
which is a result of the effect of twin jets impingement. Then,
after the midlevel point of temperature, an elliptical
temperature distribution can be seen. Higher temperature rates
were achieved by the steady jet case due to jets’ high flow rates.
In contrast, in TJIM, due to its duty principles, a lower flow rate
was supplied. As seen in Figure 16, the eighth model produced
higher centre temperature of 163.1°C when H/d=6 and 6 and
S/d= 3.
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Fig. 17. Thermographic distribution on aluminium flat plate Model (1) to (9) at Re=10,000
CONCLUSION
This paper presents a study to enhance heat transfer by
employing twin jet impingement technique as well as to
examine the effect of different velocities on the localised
Nusselt number. This investigation is based on IR thermal
imaging and measurements of heat flux–temperature micro foil
sensor. The results show significant improvement in localised
Nu number of the steady flow at a radial distance on the
aluminium with measured flat plate surface of 0–4 cm when Re
numbers were 17,000, 13,000 and 10000, which gradually
reduced as the distance increased from the centre of the
interference zone. thereafter, on the aluminium foil flat target
surface, we conduct the thermography capturing process while
different Re on the impinged plate surface of the target were
employed to collect the heat flux–temperature data for the all
different nine models. For all parameters, the results presented
logical behaviour under consideration. The performance of the
air twin jets system confirms the identical effect of air twin jets,
which was designed to produce identical two jets. Furthermore,
for the current problem, the optimal condition to achieve higher
heat-transfer rates was based on the distance between twin
nozzles and the spacing between nozzles and the plate surface.
In conclusion, the different results presented here could explain
the effect of the nine different models on TJIM’s heat-transfer
characteristics, which could contribute to enhancement of the
performance for several engineering and industrial
applications.
ACKNOWLEDGEMENTS
We are thankful to the National university of Malaysia
FRGS/1/2013/TK01/UKM/02/3 and Arus Perdana AP-2015-
003 for providing the financial supports and Prof. Dr. Faris
Abdullah Aljanaby.
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