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Original Article
Experimental investigation andcomparison of subcooled flow boilingof TiO2 nanofluid in a vertical andhorizontal tube
E Abedini1,2, A Behzadmehr1, H Rajabnia1, SMH Sarvari3 and
SH Mansouri3
Abstract
In this study, variations of local heat transfer coefficient are obtained in subcooled flow boiling conditions for water/TiO2
nanofluid in a vertical and horizontal tube. The results for the base fluid are compared with the predictions of the well
known Shah correlation and Gnielinski formula for laminar and turbulent flows for single-phase forced convection and
also with Chen correlation for subcooled flow boiling. A good agreement between the results is realized. At the
subcooled regime, heat transfer coefficient of nanofluid is less than that of the base fluid and it decreases by increasing
nanoparticle concentration for both of the channels; however, addition of the nanopraticles into the fluid causes that thevapor volume fraction increases.
Keywords
Experimental, nanofluid, subcooled, flow boiling
Date received: 2 2 2; accepted: 2 October 2012
Introduction
Nanofluid has been extensively investigated. Eastman
et al.1 measured the thermal conductivity of nanofluid
and a 60% improvement of the thermal conductivity
was achieved as compared to the base fluids for
5 vol.% of nanoparticles. Li and Peterson2 investi-
gated the effects of variations in the temperature
and volume fraction on the effective thermal conduct-
ivity of CuO and Al2O3/water suspensions. Results
showed that nanoparticle material, diameter, volume
fraction, and bulk temperature have significant effects
on the thermal conductivity of the nanofluids. Xuan
and Li3 investigated convective heat transfer charac-
teristics for Cu/water nanofluid into a straight tube
with a constant heat flux at the wall. Their results
showed that the nanofluids give considerable enhance-
ment of heat transfer rate compared to the pure water.
In addition, to investigate the nanofluid behavior
in the single phase application, many experimental
and theoretical works were dedicated to multiphase
regime. The dispersion of small amount of nanopar-
ticles into a fluid has significant effect on the boiling
process.4,5 Some studies reported heat transfer coeffi-
cient enhancement in pool boiling.6–10 Some investi-
gations showed degradation of nucleate boiling heat
transfer coefficient in nanofluids.4,11,12 Li et al.13
observed that the pool boiling heat transfer for
CuO/water nanofluid is deteriorated. They claimed
the reason of deterioration is decrease of the active
nucleation sites by nanoparticle deposition. Liu
et al.14 studied pool boiling of carbon nanotubes in
water. They found enhancement of heat transfer rate.
Kwark et al.15 investigated pool boiling of Al2O3,
CuO, and diamond nanoparticles in water. They
observed boiling heat transfer coefficient is
unchanged. Suriyawong and Wongwises16 studied
pool boiling of TiO2 nanoparticles in water on Cu
and Al plates with two surface roughnesses (0.2 and
4 mm). In their work, boiling heat transfer coefficient
degraded for all nanoparticle concentrations and the
surface roughnesses.
1Mechanical Engineering Department, University of Sistan and
Baluchestan, Zahedan, Iran2Mechanical Engineering Department, Hormozgan University, Bandar
Abbas, Iran3Department of Mechanical Engineering, Shahid Bahonar University,
Kerman, Iran
Corresponding author:
E Abedini, Mechanical Engineering Department, University of Sistan and
Baluchestan, Zahedan, Iran.
Email: [email protected]
Proc IMechE Part C:
J Mechanical Engineering Science
0(0) 1–12
! IMechE 2012
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DOI: 10.1177/0954406212466765
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Situ et al.17 simulated effect of bubble departure
frequency on the subcooled convective boiling. Their
numerical results indicated that the higher departure
frequency causes the lower wall temperature. In add-
ition, they found that the void fraction tends to
decrease by increasing departure frequency. Peng
et al.18 measured convective boiling heat transfer coef-
ficient of CuO nanoparticles in R-113 inside copper
tube. Boiling heat transfer coefficient enhanced up to
30%. In subcooled flow boiling of nanofluids, Kim
et al.19 observed that the heat transfer performance
decreases in nanofluids at low mass flow rate and it
can increase at high mass flow rate, under high heat
flux. A summary of investigations16,18–33 on boiling of
the nanofluids is listed in Table 1.
In this table, some of works show enhancement of
heat transfer,18,25,27,28 some of them show deterior-
ation of heat transfer,16,22,31 and other works show
little change of heat transfer.20,24,29
Witharana21 in 2003 conducted an experiment to
study the effect of pool boiling of nanofluids. In his
experimental work, Au/water nanofluid showed heat
transfer coefficient enhancement, but SiO2/water and
SiO2/EG showed deterioration of heat transfer
coefficient.
Zhou23 in 2004 mentioned all nanofluids contain-
ing metallic nanoparticles enhance heat transfer while
the nanofluids containing non-metallic or metallic
oxide nanoparticles reduce convection heat transfer
compared to the conventional heat transfer fluids.
This result has agreement with the Witharana’s21
work.
Another interesting result was demonstrated by
Prakash et al.26 They showed that the heat transfer
increases with the rough heater surface and it
decreases significantly with the smooth surface.
It seems that in addition to the flow condition,
nanoparticle type, heater surface, and the direction
of the heater in pool boiling, can be important.30
Henderson et al.32 showed that the heat transfer
coefficient decreases with direct dispersion of SiO2
nanoparticles in R-134a in comparison with the pure
R-134a. They found this degradation is due to diffi-
culties in obtaining a stable dispersion. They obtained
excellent dispersion for a mixture of R-134a and
polyolester oil with CuO nanoparticles, and found
that for this mixture, the heat transfer coefficient
increases more than 100% over baseline R-134a/
polyolester results.
Thus, after this literature review, it can be resulted
that many researchers worked on pool boiling of
nanofluid but there are few works on the subcooled
flow boiling and also there is no comparison between
the different directions of the flow channel.
In this study, the heat transfer coefficients of TiO2/
water nanofluid and pure water are measured at the
subcooled flow boiling regime inside the vertical and
horizontal tubes at the atmospheric pressure.
Variations of the heat transfer coefficient are
investigated by increasing nanoparticle concentration
and by changing tube orientation.
Experimental apparatus
The experimental system which is made for this study
to measure the heat transfer coefficient, is shown sche-
matically in Figure 1. The experiments are performed
at atmospheric pressure. Equipments that are used in
this setup are as following: a water storage tank at the
ambient pressure, a centrifugal pump, turbine flow
meter with an uncertainty less than 2%, a preheating
section, a test section, and a condenser. The test sec-
tion is resistively heated using DC power supply with
10V rated output voltage and 500A rated output cur-
rent connected to the tube ends by copper electrodes.
The electric power supplied to the test section is mea-
sured with a calibrated wattmeter with an uncertainty
less than 0.5%. The test section is a circular tube. The
material of the test tube is stainless steel 316 and the
effective length of the test tube is 1m with an inner
diameter of 10mm and the thickness 1.0mm. Five
groups of K-type thermocouples are equally attached
on the outer surface of the tube along the length of the
channel. Each group includes three thermocouples.
The temperatures of thermocouples are recorded by
a data acquisition system. The thermocouples were
carefully calibrated before installation.
Due to electricity flow in the tube wall, a mica sheet
(electricity insulation) with 0.1mm thickness is
inserted between the tube wall and the thermocouple
head. For steady-state condition, it is needed to pro-
vide constant temperature at the inlet of the tube. For
this reason, the bulk temperature sensor at the inlet of
the tube is related to a temperature control system
connected to the preheater section. Also, preheater
is used to remove non-condensable gas by circulating
the fluid for an hour in the beginning of the process.
The working fluid is circulated by a centrifugal
pump and is heated by the heating power in the test
section and preheater section and it is cooled by the
condenser. The test section was thermally isolated
with fiber glass. The system reaches steady-state con-
dition after 40min.
The end effect of the tube can impress the tempera-
ture of the thermocouples. Thus, to decrease this
effect, the end group of the thermocouples is located
1 cm before the outlet of the tube. The bulk tempera-
tures of the inlet and outlet of the test section are
measured by two PT100 sensors that are inserted
into the two calming chambers before and after the
test section with a precision of 0.1 �C. The maximum
uncertainty of the wall temperatures and bulk tem-
peratures are 0.5 �C and 0.8 �C, respectively. Heat
loss is between 2% and 3% of the heat flux.
Heat flux in the test section is calculated as
q00 ¼VI
�DiLð1Þ
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Table
1.Asummaryofinvestigationsonboilingofthenanofluids.
Author
Flow
conditions
Nanofluid
Results
Youet
al.20
Poolboilingoncartridge
Al 2O
3/water
Nucleate
boilingchangeslittle
Witharana2
1Poolboilingoncylindricalvessel
Au,SiO
2/water,EG
Au/water
nanofluid
showed
heattransfer
coeffi-
cientenhancement,butSiO
2/water,SiO
2/EG
showed
itsdeterioration
Das
etal.22
Poolboilingontubularheater
Al 2O
3/water
Inclusionofnanoparticles
degraded
theboiling
perform
ance
byincreasingthewallsuperheat
Zhou23
Poolboilingoncopper
tubewith
acousticcavitation
Cu/acetone
Theresultsindicated
that
thecopper
nanoparti-
cles
andacousticcavitationhas
significant
influence
onheattransport
Vassallo
etal.24
PoolboilingonNiCrwire
SiO
2/water
Littlechange
ofheattransfer
Dinget
al.25
Poolboilingonstainless
steelplate
Al 2O
2/water
andTiO
2/water
Heattransfer
enhancesforboth
nanofluids
Prakashet
al.26
Poolboilingonverticaltubularheater
Al 2O
3/water
Heattransfer
increaseswithrough
heatersurface
anditdecreases
significantlywithsm
ooth
surface
Shiet
al.27
Poolboilingoncopper
block
Al 2O
3,Fe/water
Heattransfer
enhancementupto
60%
Truong2
8Poolboilingonstainless
steelwire
Al 2O
3,SiO
2/water
Heattransfer
enhancementupto
68%
Chopkaret
al.29
Poolboilingoncopper
block
ZrO
2/water
Littlechange
ofheattransfer
Prakashet
al.30
Poolboilingontubularheaters
atvari-
ousorientations
Al 2O
3/water
Horizontalheatershowed
enhancementand
inclined
heatershowed
deteriorationofheat
transfer
Pengetal.18
Flow
boilinginsidecopper
tube
CuO/R-113
Heattransfer
coefficientenhancesupto
30%
TrisaksriandWongw
ises
31
Poolboilingoncopper
surface
TiO
2/R-141b
Heattransfer
deteriorates
Kim
etal.19
Flow
boilinginsideverticalstainless
steel
tube
Al 2O
3,ZnO,anddiamondnanoparti-
cles
inwater
Heattransfer
coefficientdecreases
andit
increasesalittlewithhighheatflux.
Hendersonetal.32
Flow
boilingonhorizontalcopper
tube
SiO
2/R-134aandCuO/
R134aþpolyolester
oil
Heattransfer
coefficientofSiO
2/R-134ananofluid
decreases
incomparisonwithpure
fluid
andit
increases100%
forCuO/R134aþpolyolester
oiloverthebaselineR-134a/polyolester
SuriyawongandWongw
ises
16
PoolboilingonCuandAlplates
TiO
2/water
Heattransfer
deteriorates
Abedini et al. 3
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where V and I are the measured voltage and current
and Di and L the inner diameter and the length of the
tube, respectively.
The convective heat transfer coefficient is obtained
by
heff ¼q00
Tw ÿ Tf
ð2Þ
Tf is calculated by considering a linear profile for bulk
temperature by obtaining inlet and outlet bulk tem-
peratures. Vapor volume fraction is low in subcooled
flow boiling. In this study, the low heat flux is applied
to provide a very low volume fraction of vapor.
On the other hand, in this study, the linear rela-
tionship between the temperatures in the inlet and the
outlet of the tube was investigated by a numerical
simulation and the numerical results confirmed that
on specified conditions in the present experiments,
there is nearly a linear relationship between the bulk
temperatures along the channel length. Therefore, it
would be reasonable to assume a linear profile for the
bulk temperature of the tube. The maximum uncer-
tainty in the calculated heat transfer coefficient is
6.5%.
Nanofluid preparation
In this study, TiO2 nanoparticles and water are used
to provide nanofluid. Size and purity of the nanopar-
ticles are 20 nm and 99%, respectively. The TiO2
nanofluid is subjected to 1 h with 100W power of son-
ication in an ultrasonic homogenizer. The nanofluids
are prepared without surfactants. The apparent dens-
ity is considered for making nanofluid with the con-
centration of 0.1%, 0.5%, and 2.5% volume fraction.
The preparation of nanofluid must insure proper dis-
persion of nanoparticles in the liquid. In this study,
nanofluids are found stable and the stability is lasted
over a week for 0.1 vol.% and more than 6 h for
2.5 vol.%.
Validation
Single phase forced convection and subcooled flow
boiling are two flow regimes that are tested to validate
this study. Shah33 correlation and Gnielinski34 correl-
ation are used for validating the Nusselt number in
single phase regime and Chen35 correlation is applied
for predicting the temperature in subcooled flow boil-
ing of the base fluid. Shah33 correlation is
Nulocal ¼
1:953RePrD
Z
� �1=3
ðRePrD=ZÞ33:3
4:364þ0:0722RePrD
ZðRePrD=ZÞ533:3
8
>
>
<
>
>
:
ð3Þ
Gnielinski correlation is used for turbulent flow and it
is as following36
Nulocal ¼f=8 Reÿ 1000ð ÞPr
1þ 12:7ffiffiffiffiffiffiffi
f=8p
Pr2=3 ÿ 1ð Þ1þ
D
Z
� �2=3" #
f ¼1
1:82 logReÿ 1:64ð Þ2
ð4Þ
Chen correlation is as below
hFC ¼kl
Di
� �
0:023GDi
�l
� �0:8�lcp,l
kl
� �0:4
ð5Þ
Figure 1. Schematic representation of the flow system.
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hNB ¼ 0:00122k0:79f c0:45p,f �0:49f
�0:5�0:29f h0:24fg �0:24g
" #
Tw ÿ Tsatð Þ0:24
� Pÿ Psatð Þ0:75S ð6Þ
S ¼1
1þ 2:53� 10ÿ6 GDi=�f
ÿ �1:17ð7Þ
As shown in Figure 2, the difference between the
experimental data and the Shah correlation is low.
However, the discrepancy between the results happens
at the last cross section which is believed to be the end
effect.
The experimental data for the turbulent flow
regime are predicted by the Gnielinski correlation.
Uncertainty is about 8% that is the least in compari-
son to other well-known existing correlations
(Figure 3). (Modified Gnielinski model for the
Nusselt number takes into account the heat flux by
means of the factor (Pr/Prw)0.11. Since the wall tem-
perature changes with the heat flux, Prandtl number
at the wall temperature Prw changes as well. However,
due to the small exponent of 0.11, the correction
factor is not very much.)
The experimental data for the subcooled flow boil-
ing regime was predicted by the Chen correlation
(Table 2). This correlation is used to find Tw but it
cannot provide variations of the wall temperature
along the channel length. For this reason, in this
study, the average temperature along the channel
length is compared with the prediction of this
correlation.
Table 2 shows a good agreement between the mea-
sured wall temperatures and the predicted data
obtained by the Chen correlation.
Figure 2. Comparison of the experimental result with Shah correlation in vertical tube.
Figure 3. Comparison of the experimental result with Gnielinski correlation in horizontal tube.
Abedini et al. 5
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Results and discussion
Subcooled flow boiling experiments using TiO2 nano-
fluids (0.01%, 0.1%, 0.5%, and 2.5% concentrations)
with different concentrations are conducted in atmos-
phere pressure through a vertical and horizontal tube.
Pure water and nanofluid flow rates are tested at three
different values of the mass flux (G¼ 137, 210, and
303 kg/(m2s)) for evaluating the variation of heat
transfer coefficient.
In the boiling region, in contrast to the single phase
region, there is no boundary layer. Thus, the oper-
ation of the nanoparticles near the surface can be
completely different in subcooled boiling regime com-
pared with the single phase. There is a thin film layer
near the surface that causes to create vapor
bubble.36,37 During the nucleate boiling process,
nanoparticles are deposited on the surface.
Nanoparticles settle out from the nanofluids and
form a porous layer on the surface. Microlayer evap-
oration with subsequent settlement of the nanoparti-
cles initially contained in it could be the reason for the
formation of the porous layer.5
Such sedimentation changes the number of micro-
cavities and the contact angle of the surface. In fact,
nanoparticles impress the nucleate sites, size, and the
departure frequency of the vapor bubbles. Moreover,
it changes thermal properties of the fluid.
Figures 4 to 9 show the result for the pure water
and nanofluid in G¼ 137 kg/(m2s). Use of the nano-
fluid in subcooled flow regime has a negative effect on
the heat transfer coefficient in vertical and horizontal
tubes (Figures 4 and 6). Variations of the wall tem-
perature also are shown for vertical and horizontal
tubes in Figures 5 and 7, respectively. These figures
show that the nucleate boiling begins near the first
measurement cross section of the channel. By increas-
ing heat flux in constant mass flux, nucleate boiling
happens at throughout the channel (Figures 8 and 9).
Moving along the channel, due to the increase of
nanoparticle effect on the nucleate sites and then on
the bubbles, variation of the heat transfer coefficient is
very low at the start section and it is considerable at
the end section of the channel (Figures 4, 6, 8 and 9).
In these figures, it is clear that the nanofluid decreases
the heat transfer coefficient and it degrades more by
Table 2. Comparison of the experimental results with the predictions by Chen correlation.
Tin (�C) Tout (
�C) Heat flux (kW/m2) Mass flux (kg/(m2s)) Twallÿsubcooled (K) Tprediction (K)
55.6 89.5 51.5 137 378 377
56.5 97.6 63 137 381.9 378.7
52.2 78.9 62.5 210 378.3 380
58.4 91.5 76.5 210 381.3 381.6
61.8 88 88 303 381 382.3
63.1 93.3 102 303 384.7 383.3
Figure 4. Effect of increasing concentration of nanoparticles on heat transfer coefficient with subcooled boiling near the first
measurement cross section in vertical tube.
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increasing nanoparticle concentration in vertical and
horizontal tubes.
In this study, concentration of 2.5% with apparent
density is equal to 0.29% with true density and con-
centration of 0.5% with apparent density is equal to
0.058% with true density. Thus, as a whole, concen-
tration is low. Therefore, sedimentation cannot be
high and difference between sedimentation in horizon-
tal tube and the vertical tube is low.
On the other hand, more sedimentation can create
more nucleate sites and then create more vapor bub-
bles. It is well known that the vapor buoyancy is more
effective in horizontal tube than that in vertical tube.
In fact, it seems that the more vapor buoyancy
compensate the more sedimentation in horizontal
tube. Moreover, sedimentation is not uniform and
the same for both of the orientations and it can
change during the process.
In higher mass flux (G¼ 210 kg/(m2s), G¼ 303 kg/
(m2s): Figures 10 to 13), Reynolds number of the inlet
flow increases and the laminar flow becomes the tur-
bulent flow.
In higher mass flux (G¼ 210 kg/(m2s), G¼ 303 kg/
(m2s)), there is the same situation (Figures 10 to 13).
Nanoparticles cause the heat transfer coefficient
deteriorates. As seen in previous figures, increasing
the mass flux (the mass flux of G¼ 137 kg/(m2s) com-
pared to the mass flux of G¼ 210 kg/(m2s) and
Figure 6. Effect of increasing concentration of nanoparticles on heat transfer coefficient with subcooled boiling near the first
measurement cross section in horizontal tube.
Figure 5. Effect of increasing concentration of nanoparticles on the wall temperature with subcooled boiling near the first meas-
urement cross section in vertical tube.
Abedini et al. 7
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Figure 7. Effect of increasing concentration of nanoparticles on the wall temperature with subcooled boiling near the first meas-
urement cross section in horizontal tube.
Figure 8. Effect of increasing concentration of nanoparticles on heat transfer coefficient with subcooled boiling throughout the
vertical tube.
Figure 9. Effect of increasing concentration of nanoparticles on heat transfer coefficient with subcooled boiling throughout the
horizontal tube.
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Figure 10. Effect of increasing concentration of nanoparticles on heat transfer coefficient with subcooled boiling throughout the
vertical channel.
Figure 11. Effect of increasing concentration of nanoparticles on heat transfer coefficient with subcooled boiling near the first
measurement cross section in horizontal tube.
Figure 12. Effect of increasing concentration of nanoparticles on heat transfer coefficient with subcooled boiling near the first
measurement cross section of the vertical tube.
Abedini et al. 9
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G¼ 303 kg/(m2s), the negative effect of the nanofluid
on the heat transfer coefficient decreases that has
agreement with the results of Kim et al.19
Another interesting result is the increase of vapor
volume fraction in nanofluid compared to the pure
water. As observed from Table 3, for G¼ 137 kg/
(m2s), G¼ 210 kg/(m2s), and G¼ 303 kg/(m2s), tem-
perature difference between the outlet and the inlet
of the vertical tube decreases by increasing nanopar-
ticle concentration. There is the same behavior in
horizontal tube. Applied heat flux is partitioned
between the phases of liquid and vapor. Decreasing
the bulk temperature at the end of the channel means
the vapor volume fraction increases. Thus, in spite of
increasing vapor volume fraction, heat transfer coef-
ficient decreases in nanofluid. During nanofluid boil-
ing, the heater surface is coated with a porous layer of
nanoparticles and it significantly increases surface
wettability.5 In fact, the bubble departure size
increases with the increase of surface wettability.
TiO2 deposition causes to decrease of contact angle
and then the bubble grows and spreads over the
wall.38,39 This causes the bubble emission frequency
decreases and then the heat transfer coefficient
deteriorates.
As mentioned before, Situ et al.17 simulated the
effect of bubble departure frequency on subcooled
convective boiling. They found that the lower depart-
ure frequency is caused the higher wall temperature
and the higher void fraction.
Another reason for the heat transfer deterior-
ation could be the change in the thermal properties
near the wall surface. As mentioned before, the nucle-
ate boiling causes the nanoparticles deposit on
the surface. This increases the nanoparticle concentra-
tion near the wall. At last, viscosity increases in
this region and it impresses the heat transfer
performance.
Conclusions
In this study, subcooled flow boiling of the
TiO2/water nanofluid is investigated. Investigation
of the heat transfer coefficient of nanofluid shows it
deteriorates in subcooled flow boiling regime and
decreases more by increasing nanoparticle concentra-
tion in vertical and horizontal tubes. On the other
hand, the negative effect of the nanoparticles on the
heat transfer coefficient decreases in higher mass flux.
In subcooled flow boiling, the bulk temperature
decreases at the end of the channel in nanofluid com-
pared to the pure water that means the vapor volume
fraction increases in the nanofluid.
Figure 13. Effect of increasing concentration of nanoparticles on heat transfer coefficient with subcooled boiling near the first
measurement cross section of the horizontal tube.
Table 3. Temperature difference between outlet and inlet of the vertical tube.
ToutÿTin
q00 ¼ 51 kW/m2,
G¼ 137 kg/(sm2)
q00 ¼ 63 kW/m2,
G¼ 137 kg/(sm2)
q00 ¼ 76.5 kW/m2,
G¼ 210 kg/(sm2)
q00 ¼ 102 kW/m2,
G¼ 303 kg/(sm2)
Pure water 33.4 39.8 33.4 30.1
Nanofluid 0.5% 32.8 39.3 31.6 29.1
Nanofluid 2.5% 29.9 37.1 31.1 29
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Funding
This research received no specific grant from any
funding agency in the public, commercial, or not-for-profit
sectors.
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Appendix
Notation
A current (A)
c specific heat (J/kgK)
D diameter (m)
G mass flux (kg/m2s)
h specific enthalpy (J/kg)
k thermal conductivity (W/mK)
L tube heater length (m)
Nu Nusselt number
P pressure (Pa)
Pr Prandtl
q00 heat flux (W/m2)
Re Reynolds number
S nucleate boiling suppression parameter
T temperature (K)
v specific volume (m3/kg)
V voltage (V)
Z distance (m)
� dynamic viscosity (Ns/m2)
� density (kg/m3)
� surface tension (N/m)
Subscripts
a apparent
b bulk liquid
eff effective
f liquid phase at saturation condition
fg liquid-to-vapor transition at saturated
condition
FC forced convection
g vapor phase at saturated condition
i inner
l liquid phase
NB nucleate boiling
o outer
p constant pressure
sat saturation
w wall
12 Proc IMechE Part C: J Mechanical Engineering Science 0(0)