Temperature profiles of heat sink and air for Model 1 heat sink configuration 0 10 20 30 40 50 o C Fin length of LED, mm Numerical Experimental Figure 4.. Comparison between numerical
Trang 3The 2012 International Conference on Green Technology and Sustainable Development (GTSD2012)
A STUDY ON ENHANCING HEAT TRANSFER EFFICIENCY OF LED
LAMPS
Thanhtrung Dang1, Vanmanh Nguyen1, Nhatlinh Nguyen1, Tansa Nguyen1, Quocdat Vu1, Dinhvu Tran1,
Vanchung Ha1, Jyh-tong Teng2, and Ngoctan Tran2
1
Ho Chi Minh University of Technical Education, Vietnam
2
Chung Yuan Christian University, Taiwan
ABSTRACT
This paper presented investigations for enhancing heat transfer efficiency of LED Lamp, using numerical and experimental methods The solver of numerical simulations – COMSOL – was developed by using the finite element method The results obtained from numerical simulation were in good agreement with those obtained from the experimental data, with the maximum percentage error being less than 8% In addition, an optimization on heat transfer phenomena of LED lamps was also done in the study
KEYWORDS: Temperature, heat transfer, efficiency, heat sink, LED
1 INTRODUCTION
Nowadays, light emitting diode (LED) has
become more popular because it needs only
low consumption in electricity, but it can
provide high luminosity LEDs are more
energy efficient than other conventional
lamps for two reasons - they require less
energy to operate than incandescent and
fluorescent bulbs and they supply more
lighting capability per watt than
incandescent bulbs The increased
efficiency equates to lower energy costs
and less environmental impacts However,
LED's working temperature should be
accounted for It is estimated that
approximately 70-85% LED power is
converted into heat High operating
temperature would reduce the LED lifetime
and brightness With high power LEDs,
they could generate more heat Many
cooling methods have been used to
dissipate heat from LED lamps The normal
methods are using natural convection by
adding additional surface area to be in
contact with the environment which is at
lower temperature One effective way to
increase the contact area is by attaching a
heat sink to the heat source; in this case, the
heat source is the LED lamp [1] Heat sinks
are devices which enhance heat dissipation from a hot surface, usually for the case of a heat generating component, to a cooler ambient Alvin et al [1] studied thermal resistance of extruded fin heat sink on LED lamp In their study, the most significant factor affecting the thermal resistance value between LED and heat sink is the heat sink mounting pressure, followed by thermal interface material and heat sink materials However, the study did not compare the influence of heat sink configurations on the overall thermal resistance for the LED system Luo et al [2] presented temperature estimation of high-power light emitting diode street lamp by a multi-chip analytical solution In their study, the fin-heat-sink is still the predominant method used in the lighting industry due to its highest reliability and lowest cost Heat pipe [3, 4]
is becoming a good option for emerging high power LEDs Thermal analysis of high power LED array packaging with microchannel cooler was done by Yuan et
al [5] Weng [6] studied advance thermal enhancement and management of LED packages by using the FEM modeling technique for simulating the LED package with different heat slug, PCB, cooling condition and chip size In [7, 8], liquid
Trang 4metals were used as the coolants to enhance
heat transfer for heat sinks Liu [9]
presented structural optimization of a
microjet based cooling system for high
power LEDs Several numerical and
experimental investigations were done in
[10-12] on the behaviors of heat transfer
and pressure drop for microchannel heat
sinks and heat exchangers In their study,
DI water was used as a working fluid
Based on reviews of the above literatures, it
is essential to study the heat transfer
behaviors of the LED heat sink, using both
numerical and experimental methods For
the present study, air was used as the
working fluid and the influence of
configuration of LED heat sink on heat
transfer characteristics was investigated In
the following sections, two cases will be
discussed for the LED heat sink: (1) the
case with natural convection and (2) the
case with forced convection
2 METHODOLOGY
2.1 Numerical simulation
The governing equations in this system
consist of the continuity equation,
momentum equations, and energy equation
[10-12] The equations can be expressed by
u/ t+ (u )u= [-pI+ ( u+( u)T)]+F (1)
u = 0 (2)
Cp T/ t+ (- T)=Qi- Cpu T (3)
where is dynamic viscosity, is density,
u is velocity field, p is pressure, I is the unit
diagonal matrix, F is body force per unit
volume (F x = F y = F z = 0 N/m3), Q i is
internal heat generation, T is temperature,
C p is specific heat at constant pressure, and
is thermal conductivity
Numerical study of the behavior of the
LED heat sinks with 3D heat transfer was
done by using the COMSOL Multiphysics
software, version 3.5 The algorithm of this
software was based on the finite element
method The generalized minimal residual
(GMRES) method was used to solve for the
present case and shown in more detail in [1,
10-12] For this study, air was used as the
working fluid No internal heat generation was available Boundary condition for the heat sinks was a constant room temperature
at 30 ºC There are three models to be used for simulation of LED heat sink, as shown
in Fig 1: (1) without any crevice, (2) with one crevice, and (3) with two crevices The substrate material for heat sinks is aluminum having the thermal conductivity
of 237 W/(mK), density of 2,700 kg/m3, and specific heat of 904 J/(kgK) [13, 14].
a) LED heat sink without crevice (Model 1)
b) LED heat sink with one crevice (Model 2)
c) LED heat sink with two crevices (Model 3)
Trang 5The 2012 International Conference on Green Technology and Sustainable Development (GTSD2012)
2.2 Experimental setup
The experimental system includes a power
supply, a temperature measurement unit, a
fan, and a velocity measurement unit, as
shown in Fig 2 The heat dissipation
patterns – fin aluminum heat sink - were
tested under different heat transfer modes:
natural convection and forced convection
The LED with a power supply of 7W was
used in this study Accuracies and ranges of
testing apparatuses are listed in Table 1
Table 1 Accuracies and ranges of testing
apparatuses
Testing apparatus Accuracy Range
Thermocouples 0.1 C 0 100 C
Velocity meter 1 % 0 50 m/s
Figure 2 A photo of the experimental system
Experimental data obtained from the LED
heat sinks were under the constant room
temperature condition of 30 ºC For the
case with natural convection, air velocity
was measured at 0.1 m/s; for forced
convection, air velocity was measured at
1.2 m/s At the middle fin of the heat sink,
five thermocouples were soldered on the
top of fin to obtain the temperature
readings
3 RESULTS AND DISCUSSION
3.1 Natural convection condition
a For Model 1 Heat Sink Configuration
For experiments carried out in this study,
with LED capacity of 7 W and air velocity
of 0.1 m/s, heat transfer from the LED through the heat sink was constant; the bottom temperature of heat sink was measured to be 49 ºC Fig 3 shows temperature profiles of heat sink and air for model 1 heat sink configuration
Figure 3 Temperature profiles of heat sink and
air for Model 1 heat sink configuration
0 10 20 30 40 50
o C
Fin length of LED, mm
Numerical Experimental
Figure 4 Comparison between numerical and
experimental results for Model 1 heat sink
configuration
Comparison between numerical and experimental results for Model 1 heat sink configuration is shown in Fig 4 It is observed that the results obtained from the numerical simulation are in good agreement with those obtained from the experimental data, with the maximum diffrence of 4.6% The difference is due to the error in temperature measurements caused by temperature sensors which were soldered at the outer rims of the fins while
Trang 6the numerical results indicated more exact
phenomena taken place in the air
surrounding the heat sink
b For Model 2 Heat Sink Configuration
For the same experimental condition above,
with air velocity of 0.1 m/s, the bottom
temperature of heat sink was measured to
be 50.4 ºC Temperature profiles of heat
sink and air for Model 2 heat sink
configuration are shown in Fig 5 Fig 6
shows the comparison between numerical
and experimental results
Figure 5 Temperature profiles of heat sink and
air for Model 2 heat sink configuration
0
10
20
30
40
50
o C
Fin length of LED, mm
Numerical Experimental
Figure 6 Comparison between numerical and
experimental results for Model 2 heat sink
configuration
c For Model 3 Heat Sink Configuration
With the same conditions, the bottom
temperature of heat sink was measured to
be 49.7 ºC The Fig 7 shows temperature profiles of heat sink and air for Model 3 heat sink configuration
Figure 7 Temperature profiles of heat sink and
air Model 3 heat sink configuration
0 10 20 30 40 50
o C
Fin length of LED, mm
Numerical Experimental
Figure 8 Comparison between numerical and
experimental results for Model 3 heat sink
configuration
Comparison between numerical and experimental results for Model 3 heat sink configuration is shown in Fig 8 It is also indicated that the numerical and experimental results are in good agreement From Figs 3-8, for the natural convection case, it is observed that the bottom temperature of heat sink for Model 1 heat sink configuration was the lowest It is due
to the fact that Model 1 heat sink configuration has the largest heat transfer area
Trang 7The 2012 International Conference on Green Technology and Sustainable Development (GTSD2012)
3.2 Forced convection condition
Experiments for forced convection
condition were done on Model 3 heat sink
configuration by using a fan with an air
velocity of 1.2 m/s
For this case, the bottom temperature of heat
sink was measured to be 38.5 ºC Figure 9
shows the comparison between numerical
and experimental results for the case with
forced convection It is also indicated that
the numerical and experimental results are
in good agreement, with the maximum
discrepancy of the temperature estimated to
be less than 8 %
From Figs 4-9, it is shown that the heat
transfer capability obtained from the case
with forced convection is higher than that
obtained from the case with natural
convection case: at the same room
temperature condition and LED power
supply capacity, the bottom temperature of
LED heat sink is reduced from 49.7 to 38.5
ºC
0
10
20
30
40
50
o C
Fin length of LED, mm
Numerical Experimental
Figure 9 Comparison between numerical and
experimental results for Model 3 heat sink
configuration with forced convection case
4 CONCLUSION
Numerical and experimental studies have
been performed on three LED heat sinks
with different configurations In natural
convection case, the heat transfer capability
obtained from the heat sink without crevice
was higher than those obtained from the
heat sinks with crevice or crevices The
heat transfer capability obtained from the case with forced convection is higher than that obtained from the case with natural convection case: at the same room temperature condition and LED power supply capacity, the bottom temperature of LED heat sink is reduced from 49.7 to 38.5
ºC Furthermore, the results obtained from the experiments were in good agreement with those obtained from the numerical simulations, with the maximum discrepancy of the temperature estimated to
be less than 8 %
5 ACKNOWLEDGEMENTS
The supports of this work by (1) the projects (Project Nos 54-11-CT/HD-CTTB and 38- 12-CT/HĐ-CTTB) sponsored by New Product & Technology Center (NEPTECH) – Hochiminh City Department
of Science and Technology of Vietnam, (2) the project (Project No T2012-16TĐ /KHCN -GV) sponsored by the specific research fields at Hochiminh City University of Technical Education, Vietnam, (3) the project (Project Nos NSC 99-2221 -E-033-025 and NSC 100-2221 -E-033-065) sponsored by National Science Council of the Republic of China in Taiwan, and (4) the project (under Grant No CYCU-98-CR -ME) sponsored by the specific research fields at Chung Yuan Christian University, Taiwan, are deeply appreciated
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Contact
Thanhtrung Dang, Ph.D
Tel: +84913606261 Email: trungdang@hcmute.edu.vn