Exploring Surfactant-Enhanced Stability and Thermophysical
Characteristics of Water-Ethylene Glycol-Based Al2O3-TiO2 Hybrid
Nanofluids
WAJIHA TASNIM URMI1, M. M. RAHMAN1,2*, K. KADIRGAMA1, D. RAMASAMY1,
M. SAMYKANO1, M. Y Ali3
1Faculty of Mechanical and Automotive Engineering Technology,
Universiti Malaysia Pahang Al-Sultan Abdullah,
26600 Pahang,
MALAYSIA
2Centre for Research in Advanced Fluid & Processes,
Universiti Malaysia Pahang Al-Sultan Abdullah, 26600 Pahang,
MALAYSIA
3Mechanical Engineering Programme Area,
Faculty of Engineering, Universiti Teknologi Brunei,
Tungku Highway, Gadong BE 1410, BRUNEI DARUSSALAM
Abstract: - This study presents an empirical investigation into the impact of surfactant's enhanced stability and
thermophysical characteristics of water-ethylene glycol (60:40) based Al2O3-TiO2 hybrid nanofluids. It aims to
shed light on the nanofluid's behavior, mainly how surfactants affect its stability and thermal performance, thus
contributing to advancements in heat transfer technology and engineering applications. The growing interest in
nanofluids, which involves blending nanoparticles with conventional base fluids, spans diverse sectors like
solar energy, heat transfer, biomedicine, and aerospace. In this study, Al2O3 and TiO2 nanoparticles are evenly
dispersed in a DI-water and ethylene glycol mixture using a 50:50 ratio with a 0.1 % volume concentration.
Three surfactants (SDS, SDBS, and PVP) are utilized to investigate the effect of the surfactants on hybrid
nanofluids. The study examines the thermophysical characteristics of these hybrid nanofluids across a
temperature range of 30 to 70 0C in 20 0C intervals to understand their potential in various industrial
applications. The results show the highest stability period for nanofluids with PVP compared to nanofluids with
surfactant-free and other surfactants (SDS, SDBS). The thermal conductivity is slightly decreased (max 4.61%)
due to PVP surfactant addition compared to other conditions. However, the nanofluids with PVP still exhibit
more excellent thermal conductivity value than the base-fluid and significantly reduced viscosity (max 55%).
Hence, the enhanced thermal conductivity and reduced viscosity with improved stability due to PVP addition
significantly impact heat transfer performance. However, the maximum thermal conductivity was obtained for
surfactant-free Al2O3-TiO2/Water-EG-based hybrid nanofluids that reveal a thermal conductivity that is 17.05
% higher than the based fluid. Instead, the lower viscosity of hybrid nanofluids was obtained at 70 0C with the
addition of PVP surfactant. Therefore, adding surfactants positively impacts Al2O3-TiO2/Water-EG-based
hybrid nanofluids with higher stability, enhancing thermal conductivity and reducing viscosity compared to the
based fluids. The results show that adding surfactants at a fixed volume concentration affects thermal
conductivity at low temperatures and viscosity at high temperatures, suggesting that these fluids might be used
as cooling agents to increase pumping power in industrial applications.
Key-Words: - Thermal conductivity; viscosity; TiO2; Al2O3; surfactant; stability; temperature; volume
concentration.
Received: April 26, 2023. Revised: September 29, 2023. Accepted: November 25, 2023. Published: December 31, 2023.
1 Introduction
Heat transfer devices play a role in our lives as their
efficiency is essential for minimizing energy
consumption and maintaining a compact design.
The heat transfer fluid used can influence these
devices' efficiency in operations, [1]. Boosting heat
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DOI: 10.37394/232012.2023.18.16
Wajiha Tasnim Urmi, M. M. Rahman,
K. Kadirgama, D. Ramasamy,
M. Samykano, M. Y Ali
E-ISSN: 2224-3461
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transfer efficiency can impact a system's
performance, leading to lower operating costs and
improved energy efficiency. However, traditional
methods of heat transfer often face difficulties in
achieving optimal heat transfer performance. The
researchers introduced metals and metal oxides with
heat transfer properties into the liquids to overcome
the difficulties. This enabled the fluids to employ
methods of heat transfer, [2]. The remarkable
thermal properties of nanofluids have attracted
attention as fluids for heat transfer purposes.
Nanofluid consists of a base fluid such as water,
ethylene glycol, and mineral oil that contains
nanoparticles ranging in size from 1 to 100 nm, [3].
Because nanofluids possess improved thermal
conductivity, enhanced heat convective coefficients,
and increased thermal stability, they have gained
significant importance in various heat transfer
applications, [4]. Scientists and researchers have
been conducting extensive research on nanofluids.
They encountered a sheared obstacle that needed to
be addressed. However, nanofluids are considered
fluids that pose challenges in their synthesis,
characterization, and applications. Models do not
adequately describe these aspects, [5], [6]. In
contrast, nanofluids have gained attention across
fields. They are extensively utilized in sectors
including cosmetics, [7], manufacturing [8], [9],
solar energy applications [10], [11], biomedicine
[12], and various heat transfer devices [13], [14].
Therefore, it has become crucial to investigate types
of nanofluids to establish commercially viable
nanofluid formulations. However, it is quite
challenging to summarise all the research conducted
on the characteristics and sensitivity of nanofluids in
the introduction. Nanoparticles have caught the
attention of researchers because of their size, surface
area, and surface-to-volume ratio, and they exhibit
enhanced thermal conductivity. Nanoparticles are
made of metal and metal oxides [15], carbon
nanotubes [16], and graphene-based nanofluids in
the fields of heat transfer, [17]. Choosing the type of
nanoparticle base fluids and their concentration is
vital when preparing nanofluids with thermal
properties that can be utilized in different heat
transfer applications, [18]. The preparation methods
significantly affect the thermal properties.
Nanoparticles in suspended nanofluids tend to
cluster when they are not well dispersed. This
clustering phenomenon significantly influences the
nanofluids' stability and performance, reducing
thermal conductivity and enhanced viscosity, [1]. It
is vital to maintain the thermal characteristics of the
base fluid to ensure long-term stability that enables
nanofluids to be consistently used in heat transfer
applications. The nanoparticles can be affected by
gravity even though they are tiny, which eventually
causes the nanoparticle to settle and cluster. In a
study conducted using ZnO nanofluids based on
water-ED, a heat transfer enhancement of 9.8 % was
achieved at a volume concentration of 1.5 %, [19].
However, this improvement came with the
weakness of increased pressure drop. The exergetic
and energetic efficiencies can also be boosted with
the rising weight and mass fraction of MWCNT
while analyzing the exergy and energy of solar
collectors using nanofluid, [20]. In another study, a
quantum dot nanofluid was prepared to explore a
customized electronic system's cooling capability
when graphene-silver quantum dots were
synthesized using silver nitrate and citric acid, [21].
The prepared 1200 ppm nanofluid revealed
excellent stability in terms of higher zeta potential
value (-49 mV), maintaining a neutral pH value
while the thermal conductivity improved
significantly (46%). Besides, electronic system
temperature declined by applying nanofluid,
increasing nanofluid's Reynolds number and volume
concentration. The results also concluded that
compared to improved convective heat transfer
capability, the pumping power needed for the
nanofluid does not result in a substantial penalty
(<5.12%). The study unveiled the highest 13% heat
transfer along with 8% pressure drop enhancement
while investigating the efficiency of graphene
nanofluids in microchannel heat transfer devices,
[22].
Nanofluids are relatively innovative in cooling
mediums and frequently demonstrate improved
cooling and lubrication properties compared to
traditional coolants. Nevertheless, in the base fluid,
nanoparticles are prone to agglomeration driven by
Brownian motion and van der Waals forces. This
agglomeration results in clusters that can settle and
adversely affect performance. Therefore, it is crucial
to adopt effective strategies to improve the
dispersion stability of nanofluids significantly,
thereby maintaining their optimal functionality,
[23]. The surfactants are essential components,
particularly in uses involving sustainable machining
coolants, improving heat transfer, and vehicle
cooling systems. Nanofluid stability and efficiency
are of the most tremendous significance for these
uses. While several studies have been performed on
nanofluid properties, such as thermal conductivity,
viscosity, stability, and heat transfer capacity, the
effects of various surfactants used during synthesis
have yet to be explored. Usually, various kinds of
dispersants or surfactants are used to achieve
homogeneity of nanofluids, which is the most
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Wajiha Tasnim Urmi, M. M. Rahman,
K. Kadirgama, D. Ramasamy,
M. Samykano, M. Y Ali
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crucial challenge in the study of nanofluids, [24].
For example, while preparing a stable nanofluid,
treated TiO2 particles with CTAB and SDS and
finally found stability for over two weeks, [25]. The
research also revealed an enhancement of 15% and
10% in thermal conductivity at a volume
concentration of 1.25%. After sufficient sonication
with SDS surfactant addition, Al2O3/distilled water
nanofluid behaved as a homogeneous nanofluid with
nearly 30 mV zeta potential value, [26]. Another
study suggested using [BMIM] PF6 ionic liquid to
prepare a stable Al2O3 nanofluid, [27]. However, the
effect of various kinds of dispersants or surfactants
on nanofluids, a crucial issue, is discussed in a
limited number of scientific studies. However, there
is a lack of research investigating the impacts of
surfactants on the thermal conductivity, viscosity,
and stability of TiO2-Al2O3 hybrid nanofluids based
on 60: 40 Water-EG. Hence, the present research
focuses on the impacts of various surfactants on the
stability and thermophysical properties of TiO2-
Al2O3 hybrid nanofluid. Besides, the sensitivity
analysis of thermophysical properties is also
discussed in this study. This is an extension of our
previous research where the reason for choosing
TiO2 and Al2O3 nanoparticles is mentioned due to
their excellent properties, [28]. Following the
previous study, one scientific report is published on
the thermophysical properties of the 80:20 ratio of
TiO2-Al2O3 hybrid nanofluids, [19]. Therefore, this
study chooses a 50:50 ratio of TiO2-Al2O3
nanoparticles as it is proved that an increasing
percentage of Al2O3 nanoparticles enhances thermal
conductivity with the formidable challenge of
achieving stability. So, the present study is about
accepting the stability challenge of applying
surfactants, analyzing the effects of surfactants on
stability and thermal properties, and exploring the
sensitivity of thermal properties.
Fig. 1: A two-step technique employed to prepare the hybrid nanofluids utilizing the chosen based fluid and
nanoparticles
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2 Materials and Methods
2.1 Preparation of Hybrid Nanofluids and
Their Stability
Table 1 presents the thermophysical properties of
selected base fluids, including DI-water and
ethylene glycol, alongside nanoparticles such as
Al2O3 and TiO2. This research utilizes the widely
recognized two-step synthesis technique for
preparing Al2O3- TiO2 hybrid nanofluids in water-
ethylene glycol as the base fluid. Figure 1 illustrates
a two-step technique to prepare the hybrid
nanofluids utilizing the chosen based fluid and
nanoparticles. Utilizing individual beakers, the
Al2O3 and TiO2 nanoparticles mixed in a 50:50
proportion were blended with the base fluid (DI-
water and EG) at a weighting ratio of (60:40) and
three different surfactants. Eq. (1) was utilized to
calculate the volume concentration of the
nanoparticles. Four hybrid nanofluids samples were
synthesized with a 0.1 % volume concentration of
the nanofluids. These surfactants were
polyvinylpyrrolidone (PVP), sodium dodecyl
sulfonate (SDBS), and sodium dodecyl sulfate
(SDS). Information on a selection of surfactants is
presented in Table 2.
Table 1. Thermal properties of base fluids (DI
Water and ethylene glycol) and nanoparticles (Al2O3
and TiO2)
Description
DI Water
(volume
%)
Ethylene
glycol
(volume %)
Al2O3
TiO2
Proposition
ratio
60
40
50
50
Colour
-
-
White
White
Average
particle size
-
-
> 30
nm
5-10 nm
Molecular
mass (g.mol-
1)
18.02
62.07
101.96
79.86
Thermal
conductivity
(W.m-1.K-1)
0.60
0.22
40
8.40
Density
(kg.m-3)
998.21
1113.20
4000
4230
Table 2. Surfactants used in this study
Surfactants
Abbreviation
Chemical
formula
Purity
(%)
Sodium Dodecyl
Sulfate
SDS
CH3(CH2)11OS
O3Na
> 99
%
Sodium dodecyl
benzene sulfonate
SDBS
CH3(CH2)11C6
H4SO3Na
>99.9
3 %
Polyvinylpyrrolidone
PVP
C6H9NO)n
-
The SDS, SDBS, and PVP surfactants were
individually synthesized at volume concentrations
of 10% for each of these three samples. The fourth
sample was prepared uniquely and did not include
any surfactant to provide a surfactant-free variant
for comparison analysis. To begin, we first used
nanoparticle-based liquids with surfactants.
Afterwards, we used a hotplate stirrer to stir the
mixture for 45 minutes at 35 0C. The duration of
sonification noticeably impacted the stability of the
nanofluids. The increase of stability of nanofluids
with increasing sonication time while decreasing has
a reverse force effect. The sonication time also
affects the viscosity of the nanofluids due to
breaking the larger particles. It reduces the viscosity
and lowers the flow resistance, [1]. Therefore, the
optimum sonification time is necessary for good
stability. In this study, samples were ultrasonicated
for five hours at a temperature that ranged from 30
to 70 degrees Celsius. The transmission electron
micrographs (TEM) are used to determine the
dimensions and shapes of the nanoparticles. TEM
images revealed that the typical diameters of TiO2
and Al2O3 are between 5 and 10 nanometers and
between 20 and 30 nanometers, respectively. The
TiO2 particles have a spherical shape in their
appearance. However, the micrographs of Al2O3
nanoparticles do not contain any varieties that have
been specifically identified.
󰇛󰇜
󰇧
󰇨󰇧
󰇨
󰇧
󰇨󰇧
󰇨󰇧
 󰇨
 (1)
where m and
represent the mass and density of
nanoparticles and base fluid.
The repulsive force that prevents nanoparticles
from settling in suspension is known as stability,
[28]. This study follows the most straightforward
quantitative technique of the zeta potential test to
depict the stability of samples. Several previous
investigations also applied this method to state fluid
homogeneity, [29]. Finally, the visual inspection
also confirms the uniformity of nanofluids.
2.2 Thermophysical Properties Measurement
Understanding the properties of nanofluids requires
consideration of the thermal conductivity and
viscosity of the hybrid nanofluids. These factors
impact the pumping power of the system, making
them incredibly important. The research examines
the thermal conductivity and viscosity are essential
properties of Al2O3 and TiO2 hybrid nanofluids. The
KD2 Pro analyzer is equipped with a temperature-
controlled water bath to analyze thermal
conductivity. The method it employs involves using
a heat source and interchangeable sensors to
measure thermal properties such as thermal
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M. Samykano, M. Y Ali
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conductivity. The KD2 Pro utilizes an approach to
identify the heat source for either single or dual-
needles. The KD2 Pro analyzer sensor, which is thin
and needle-shaped, is inserted vertically into the
sample without making contact with the container
walls. It ensures that the sample remains
undisturbed while measurements are taken. Three
different temperatures, 30, 50, and 70 degrees, are
being examined to assess their properties. Ten
readings are collected for each sample and
temperature, with a 15-minute delay between each
reading, and the average results are finally
considered during the procedure.
The viscosity measurement was conducted using
the Brookfield LVDV III Ultra Rheometer equipped
with an oil bath. Its purpose is to analyze the
properties of the viscosity of the fluids. The LVDV
III Ultra employs a shaft powered by a motor and
connected to a calibrated spiral spring. The motor’s
drive shaft powers a spindle immersed in the tested
fluid. We measured the resistance of the flow
movement by observing the increasing torque
values. When the LVDV III Ultra motor rotates, we
measured the fluid's ability to resist movement by
monitoring the increasing torque values. The
experiments included the viscosity changes at 30 to
70 0C with 20 0C intervals using a designed Rheocal
Program. Similarly, we gathered ten readings for
each sample and temperature, keeping a consistent
time interval of 15 minutes. The final dataset is then
determined by calculating the average values
obtained from these readings.
3 Results and Discussion
3.1 Stability Analysis of Hybrid Nanofluids
One way to determine the consistency of the
colloidal mixture is by the zeta potential method.
This indicates the repulsive force between the
suspension mixture and the stationary fluid layer
when the nanoparticles are present. The zeta
potential absolute value can provide insight into the
stability of the hybrid nanofluids. However, it is
essential to note that this approach has limitations
when dealing with highly viscous fluids, [30].
However, the colloidal suspension with a zeta
potential absolute value of 15 mV exhibits
minimum stability. On the other hand, when the zeta
potential absolute value reaches 30 mV, 45 mV, and
60 mV, it demonstrates good, very good, and
excellent stability, respectively, [26]. Table 3
presents the zeta potential absolute value changes
for hybrid nanofluids at a 0.1 % volume
concentration with and without surfactants.
According to the information presented in Table 3,
it can be observed that the sample without surfactant
exhibited a level of moderate stability (28 mV).
However, the PVP surfactant sample demonstrated
good stability, as indicated by the highest zeta
potential absolute value of 39.8 mV. The samples
with SDS and SDBS surfactant represented minimal
stability. Hybrid nanofluid samples containing PVP
exhibit fluctuations in zeta potential values because
changes in solution modify the surface charge
density [2]. Visual inspection was also employed in
this study to conclude the stability period of the
samples. The visual inspection results presented that
the samples with SDS and SDBS surfactants started
to sediment after 2-3 hours, and the sample with
SDS also created some foam during sonication.
However, the sample without surfactant showed the
beginning of nanoparticle sedimentation after three
days, while the sample with PVP showed uniformity
until eight days. Hence, the sample with PVP stars
showed little apparent sedimentation around one
week. Finally, the study concluded that the sample
without any dispersant and with PVP dispersant had
uniformity until 3 and 8 days, respectively. Hence,
these two samples are considered for
thermophysical properties analysis. In contrast, the
samples with SDS and SDBS did not undergo
properties analysis because of minimal stability for
a few hours.
Table 3. Zeta potential absolute value of Al2O3-TiO2
(50:50) hybrid nanofluids
Samples (0.1% Volume
concentration)
Value of Zeta Potential
(±mV)
0.1% Al2O3-TiO2
(Without surfactant)
Moderate stability
(28 mV)
0.1% Al2O3-TiO2 (SDS)
Slight stability (16 mV)
0.1% Al2O3-TiO2 (SDBS)
Slight stability (22 mV)
0.1% Al2O3-TiO2 (PVP)
Good stability (39.8mV)
3.2 Thermophysical Properties Behaviour
It is crucial to analyze the various factors and their
effects to understand the thermal conductivity of
hybrid nanofluids. It enhances thermal conductivity
in industrial applications, and there is a need for
minor changes. We utilized the KD2 Pro Analyzer
to perform experiments on hybrid nanofluids
containing water-EG and Al2O3-TiO2 and to
investigate their thermal conductivity. These studies
aimed to evaluate the impact of adding surfactants
and temperature variation in hybrid nanofluids. The
thermal conductivity is evaluated for two samples of
Al2O3 -TiO2 (without surfactant, with 0.01% PVP)
at three different temperatures, as the other two
samples (with SDS and SDBS) showed limited
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stability or instability. Figure 2 demonstrates the
intricate interplay between temperature and the
percentage enhancement of thermal conductivity for
Al2O3-TiO2 hybrid nanofluids, providing valuable
insights into their complex thermal behavior. Based
on the information in Figure 2(a), the thermal
conductivity of samples with and without
surfactants surpasses that of the base fluid (water;
EG) as the ASHRAE reference value. A noticeable
increase in the thermal conductivity of tested hybrid
nanofluids as temperature rises. The noticeable
increase in thermal conductivity is mainly attributed
to the interaction between protons and the interface
between solid and liquid walls as nanoparticles'
unpredictable movement within the uniformly
dispersed hybrid nanofluid, [31]. Two factors
contribute to the increase in thermal conductivity.
The first factor is the nanoparticles' random motion,
which leads to collisions. The second factor is the
composition of the nanoparticles and the type of
surfactants employed. In addition, the increasing
kinetic energy of the nanoparticles and the repetitive
collisions of the nanoparticles with the increasing
temperature are additional factors that contribute to
improving thermal conductivity, [31], [32]. The
highest thermal conductivity is achieved for the
sample without surfactant at 70 oC, while the lowest
value is revealed for the sample with PVP at 30 oC.
From the result, it is also clear that adding
nanoparticles significantly improves thermal
conductivity. However, the thermal conductivity
slightly decreases due to surfactant addition,
showing noticeable enhancement to base fluid. The
thermal conductivity enhancement is expressed in
Eq. (2).
Thermal Conductivity 󰇛󰇜

  (2)
The thermal conductivity of nanofluid was
assessed with and without surfactant, as well as with
0.1 % of the volume concentration of nanoparticles.
Figure 2(b) illustrates the percentage of
improvement observed in samples without
surfactant and those that included PVP surfactant
when subjected to different temperatures. A
maximum of 17.05% enhancement of thermal
conductivity is observed for the sample without
surfactant at 70 oC, while a minimum of 5.33%
enhancement is derived for the Al2O3-TiO2 with
PVP at 30 oC. In addition, the thermal conductivity
is reduced by 2.92%, 1.41%, and 4.61% at 30 oC, 50
oC, and 70 oC, respectively, due to PVP addition
compared to the Al2O3-TiO2 hybrid nanofluid
without surfactant. The increasing specific surface
area that results from the mixing of nanoparticles is
a factor that contributes to the enhancement of
thermal interactions inside the hybrid nanofluids. It
is accomplished by Brownian motion and the
agglomeration of particles, [33]. Additionally, PVP
surfactant enhances the synthesized fluid's stability,
prevents particle agglomeration and sedimentation,
and demonstrates a more excellent Brownian motion
and thermo-migration effect, ultimately improving
the synthesized fluid's thermal conductivity.
(a) Thermal conductivity versus temperature
(b) Thermal conductivity enhancement (%)
Fig. 2: The thermal conductivity trends exhibited by
0.1% Al2O3 -TiO2 (50:50) hybrid nanofluids
3.3 Viscosity Analysis of Hybrid Nanofluids
Viscosity was measured for the samples without
surfactant and with PVP for 30 oC, 50 oC, and 70 oC.
Figure 3(a) represents the samples' viscosity values
for various temperatures. Figure 3(a) reveals that the
viscosity of both samples is higher than the viscosity
of the base fluid (W: EG). The viscosity of the
sample without surfactant is comparatively higher
than that of PVP surfactant. For both samples of
Al2O3 -TiO2, the viscosity decreases with increasing
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temperature due to the higher movement of
nanoparticles into the medium at a higher
temperature which retards the sedimentation of
particles. This is because the attraction interactions
between the nanoparticles are reduced, resulting in
wider gaps between the molecules in the fluid, [2].
As a consequence of this,
The nanofluid undergoes a decrease in
resistance to the fluid flow, decreasing its viscosity.
Furthermore, the fluid molecules increase energy
when the temperature rises. This increased energy
enables them to overcome the forces within the
nanofluid medium, resulting in a decrease in
viscosity [32]. Figure 3(b) shows the enhancement
percentage of viscosity of the hybrid nanofluid
against temperature, which can be derived using Eq.
(3).

  (3)
(a) Viscosity versus temperature
(b) Viscosity enhancement (%)
Fig. 3: The viscosity variation of 0.1% Al2O3-TiO2
(50:50) hybrid nanofluids
Al2O3 -TiO2 hybrid nanofluid without surfactant
presented the highest viscosity enhancement at 70
oC by 97.93%, while the lowest enhancement by
33.62% was found for the sample with PVP
surfactant at 30 oC. The enhancement rate with
temperature for the sample without surfactant is
steeper than that with PVP. Adding PVP surfactant
significantly reduces the sample’s viscosity by
19.91 %, 55.95 % and 44.33 % at 30 0C, 50 0C and
70 0C, respectively, compared to the sample without
surfactant. Hence, it can be concluded that the
sample with PVP has comparatively significantly
lower viscosity with improved thermal conductivity
and stability, which can potentially affect various
heat transfer applications. The nanoparticles start
moving randomly and dispersing throughout the
fluids when the temperature increases. In addition,
the nanofluid's molecular activity becomes stronger,
making the molecules more distinct from one
another as the temperature increases, [33], [34].
Consequently, the interactions between the
nanoparticles and the molecules in the base fluids
are expected to weaken, potentially reducing the
fluid’s viscosity.
3.4 Sensitivity Analysis
Conducting a sensitivity analysis on nanofluids to
design energy systems helps gain insights into the
primary parameters' contributions to thermal
conductivity. We added a 10% proportion of
surfactants with a nanoparticle mixture (based on
the nanoparticle content) to the nanofluid to study
how the thermal conductivity and viscosity of
Al2O3-TiO2-based hybrid nanofluids are affected
when adding the different surfactants at various
temperatures. Afterwards, we measured the thermal
conductivity and viscosity values, covering a range
of selected temperatures using the methods
described in the methodology section. Equations (4-
5) are used to evaluate the sensitivity of thermal
conductivity and viscosity of the hybrid fluids,
respectively.
󰇛󰇜
󰇧󰇛󰇜
󰇛󰇜 󰇨 (4)
󰇛󰇜
󰇧󰇛󰇜
󰇛󰇜 󰇨 (5)
Figure 4 and Figure 5 comprehensively portray
the sensitivity analysis for thermal conductivity and
viscosity, showcasing the impact of volume fraction
variations across different temperature ranges.
Figure 4 illustrates the diminishing thermal
conductivity sensitivity with volume concentration
as temperatures increase for both samples.
According to the findings of the sensitivity analysis,
the hybrid nanofluid that did not contain the
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DOI: 10.37394/232012.2023.18.16
Wajiha Tasnim Urmi, M. M. Rahman,
K. Kadirgama, D. Ramasamy,
M. Samykano, M. Y Ali
E-ISSN: 2224-3461
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surfactant exhibited the highest sensitivity at a
temperature of 50 0C and a volume fraction of 0.1
%. However, the hybrid nanofluid containing 0.1 %
volume concentration and a PVP surfactant
exhibited significant sensitivity regarding thermal
conductivity at a temperature of 30 0C. This implies
that after introducing a specific quantity of
nanoparticles into the nanofluid suspension, the
thermal conductivity exhibits reduced efficiency at
higher temperatures in contrast to lower
temperatures.
(a) Sensitivity analysis for 0.1% Al2O3-TiO2 (without
surfactant)
(b) Sensitivity analysis for 0.1% Al2O3-TiO2 (with PVP
surfactant)
Fig. 4: Sensitivity analysis of thermal conductivity
versus temperature for Al2O3-TiO2 (50:50) hybrid
nanofluids
According to the findings in Figure 5, the
viscosity of the hybrid nanofluid, both with and
without the surfactant, exhibited the maximum level
of sensitivity at a temperature of 70 degrees Celsius
and a volume concentration of 0.1 %. On the
contrary, in case the sensitivity of viscosity of TiO2-
Al2O3 hybrid nanofluid to the volume concentration
increases with rising temperature, and the increasing
rate of sensitivity is comparatively higher for the
sample without surfactant, which means the sample
with PVP shows less viscosity even after adding a
meaningful amount of nanoparticles into the
nanofluid. This feature can help design a heat
transfer system. The strategic integration of
surfactants, such as PVP, into Al2O3-TiO2 hybrid
nanofluids marks a significant advancement in
optimizing their viscosity and thermal conductivity
for superior heat transfer applications. This
approach strikingly balances reduced viscosity with
sustained thermal efficiency, highlighting the
transformative potential of these nanofluids in
advancing heat transfer technologies. Ongoing
research in this domain is imperative to unlock the
full spectrum of nanofluids' capabilities in industrial
settings.
󰇛󰇜
󰇧󰇛󰇜
󰇛󰇜 󰇨 (4)
󰇛󰇜
󰇧󰇛󰇜
󰇛󰇜 󰇨
(5)
(a) Sensitivity analysis for 0.1% Al2O3-TiO2
(without surfactant)
(b) Sensitivity analysis for 0.1% Al2O3-TiO2 (with
PVP)
Fig. 5: Sensitivity analysis of viscosity versus
temperature for Al2O3-TiO2 (50:50) hybrid
nanofluids.
4 Conclusions
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DOI: 10.37394/232012.2023.18.16
Wajiha Tasnim Urmi, M. M. Rahman,
K. Kadirgama, D. Ramasamy,
M. Samykano, M. Y Ali
E-ISSN: 2224-3461
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The present study has successfully synthesized
water-EG-based Al2O3-TiO2 (50:50) hybrid
nanofluid employing the most widely recommended
two-step technique. This study investigates hybrid
nanofluids' stability and thermophysical properties
with various temperature ranges. It has also
explored the impact of three distinct surfactants on
these properties, including SDS, SDBS, and PVP.
The sensitivity of thermophysical properties to the
volume concentration at various temperatures was
evaluated. The findings of this study are detailed as
follows:
i) The Al2O3-TiO2 hybrid nanofluid, in the
absence of any surfactant, demonstrated
moderate stability, as indicated by a zeta
potential value of 28 mV. Conversely,
including PVP significantly enhanced
stability, evidenced by a notable zeta
potential of 39.8 mV. Samples with SDS
and SDBS exhibited only marginal stability
improvements. The surfactant-free and
PVP-enhanced samples maintained stability
for three days, while those with SDS and
SDBS remained stable for merely a few
hours.
ii) The surfactant-free Al2O3-TiO2 nanofluid
exhibited superior thermal behavior
compared to its PVP-containing
counterpart. However, the PVP-infused
sample demonstrated a significant increase
in thermal conductivity relative to the base
fluid, with the highest enhancement
(17.05%) observed at 70 °C.
iii) An inverse relationship was observed
between viscosity and temperature. The
surfactant-free sample exhibited a notably
higher viscosity compared to the PVP-
treated sample. The most pronounced
increase in viscosity (97.93%) was recorded
at 70 °C for the surfactant-free sample.
Notably, applying PVP resulted in a
substantial viscosity reduction, with a
maximum decrease of 55.95% at 50 °C
compared to the surfactant-free sample.
This marked viscosity reduction and
improved thermal conductivity are
anticipated to influence heat transfer
applications significantly. The behavior of
the nanofluid at elevated temperatures offers
a promising avenue for future exploration.
iv) The study uncovered that thermal
conductivity is more responsive at lower
temperatures, while viscosity exhibits
greater sensitivity at higher temperatures,
particularly when adjusting the nanoparticle
concentration.
The ramifications of these findings are
extensive, especially in machining and automotive
cooling. Al2O3-TiO2 hybrid nanofluids are
revolutionizing these sectors by enhancing heat
dissipation and improving tool life and precision in
machining operations. In automotive contexts, these
nanofluids surpass traditional coolants in efficiently
cooling engines, which is crucial for high-
performance vehicles. This leads to optimal engine
temperature regulation, heightened fuel efficiency,
diminished wear and tear, and prolonged component
longevity, fostering sustainable automotive
technologies. In summary, the Al2O3-TiO2 hybrid
nanofluids developed in this study exhibit
significant promise for elevating heat transfer
efficiency in various industrial applications,
heralding a new era of more sustainable and
effective cooling solutions.
Acknowledgment:
The authors would like to thank Universiti Malaysia
Pahang Al Sultan Abdullah (UMPSA), Malaysia,
for their support in providing the laboratory
facilities and financial assistance
References:
[1] Rehman, Abdul, Sana Yaqub, Majid Ali,
Hassan Nazir, Nadia Shahzad, Sehar Shakir,
Rabia Liaquat, and Zafar Said. Effect of
surfactants on the stability and thermophysical
properties of Al2O3 + TiO2 hybrid nanofluids.
Journal of Molecular Liquids, Vol. 391, Part.
B, 2023, pp. 123350.
[2] Kiruba, R., and A. Kingson Solomon Jeevaraj.
Rheological characteristics and thermal
studies of EG-based Cu: ZnO hybrid
nanofluids for enhanced heat transfer
efficiency. Chemical Physics Impact, Vol. 7,
2023, pp. 100278.
[3] Hanbazazah, Abdulkader S., Abulhassan Ali,
Mustafa Alsaady, Yuying Yan, Ghulam
Murshid, Kuan Shiong Khoo, Muhammad
Mubashir, Aymn Abdulrahman, Anas Ahmed,
Abdullah Bin Mahfouz, Ahmed Alsaadi, and
Pau Loke Show. Optimization and
experimental analysis of sustainable solar
collector efficiency under the influence of
magnetic nanofluids. Applied Nanoscience,
Vol. 12, No. 12, 2022, pp. 3859-3870.
[4] Ajeena, Ahmed M., Istvan Farkas, and
Piroska Víg. Characterization, rheological
WSEAS TRANSACTIONS on HEAT and MASS TRANSFER
DOI: 10.37394/232012.2023.18.16
Wajiha Tasnim Urmi, M. M. Rahman,
K. Kadirgama, D. Ramasamy,
M. Samykano, M. Y Ali
E-ISSN: 2224-3461
203
Volume 18, 2023
behavior, and dynamic viscosity of ZrO2-SiC
(5050)/DW hybrid nanofluid under different
temperatures and solid volume fractions: An
experimental study and proposing a new
correlation. Powder Technology, Vol. 431,
2024, pp. 119069.
[5] Rudyak, Valery. Thermophysical
characteristics of nanofluids and transport
process mechanisms. Journal of Nanofluids,
Vol. 8, No. 1, 2019, pp. 1-16.
[6] Smaisim, Ghassan Fadhil, Doaa Basim
Mohammed, Ahmed M. Abdulhadi,
Khusniddin Fakhriddinovich Uktamov, Forat
H. Alsultany, Samar Emad Izzat, Mohammad
Javed Ansari, Hamzah H. Kzar, Moaed E. Al-
Gazally, and Ehsan Kianfar. Nanofluids:
properties and applications. Journal of Sol-
Gel Science and Technology, Vol. 104, No. 1,
2022, pp. 1-35.
[7] Rudyak, V. Ya, A. V. Minakov, and M. I.
Pryazhnikov. Preparation, characterization,
and viscosity studying the single-walled
carbon nanotube nanofluids. Journal of
Molecular Liquids, Vol. 329, 2021, pp.
115517.
[8] Yıldırım, Çağrı Vakkas, Şenol Şirin, Turgay
Kıvak, and Murat Sarıkaya. The effect of
nanofluids reinforced with different
surfactants on the machining and friction-
wear properties of Waspaloy. Tribology
International, Vol. 181 2023, pp. 108316.
[9] Urmi, Wajiha Tasnim, Md Mustafizur
Rahman, Kumaran Kadirgama, Zetty Akhtar
Abd Malek, and Wahaizad Safiei. A
comprehensive review on thermal
conductivity and viscosity of nanofluids.
Journal of Advanced Research in Fluid
Mechanics and Thermal Sciences, Vol. 91,
No. 2, 2022, pp. 15-40.
[10] Bozorg, Mehdi Vahabzadeh, Mohammad
Hossein Doranehgard, Kun Hong, and
Qingang Xiong. CFD study of heat transfer
and fluid flow in a parabolic trough solar
receiver with internal annular porous structure
and synthetic oilAl2O3 nanofluid. Renewable
Energy, Vol. 145, 2020, pp. 2598-2614.
[11] Sun, Lei, Liu Yang, Ning Zhao, Jianzhong
Song, Xiaoke Li, and Xiaohu Wu. A review
of multifunctional applications of nanofluids
in solar energy. Powder Technology, Vol.
411, 2022, pp. 117932.
[12] Nobrega, Glauco, Reinaldo Rodrigues de
Souza, Inês M. Gonçalves, Ana S. Moita, João
E. Ribeiro, and Rui A. Lima. Recent
developments on the thermal properties,
stability, and applications of nanofluids in
machining, solar energy, and biomedicine.
Applied Sciences, Vol. 12, No. 3, 2022, pp.
1115.
[13] Maleki, Hamid, Mohammad Reza Safaei,
Hussein Togun, and Mahidzal Dahari. Heat
transfer and fluid flow of pseudo-plastic
nanofluid over a moving permeable plate with
viscous dissipation and heat
absorption/generation. Journal of Thermal
Analysis and Calorimetry, Vol. 135, 2019,
pp. 1643-1654.
[14] Sheikholeslami, M., M. Jafaryar,
Mohammadali Hedayat, Ahmad Shafee,
Zhixiong Li, Truong Khang Nguyen, and
Mohsen Bakouri. Heat transfer and turbulent
simulation of nanomaterial due to compound
turbulator including irreversibility analysis.
International Journal of Heat and Mass
Transfer, Vol. 137, 2019, pp. 1290-1300.
[15] Sujith, Surendran V., Hansoo Kim, and
Joonho Lee. A review on thermophysical
property assessment of metal oxide-based
nanofluids: industrial perspectives. Metals,
Vol. 12, No. 1, 2022, pp. 165.
[16] Esfe, Mohammad Hemmat. The dual behavior
of the dynamic viscosity of multiwalled
carbon nanotubesAl2O3(3:7)/ethylene glycol
hybrid nanofluids: an experimental study. The
European Physical Journal Plus, Vol. 137,
No. 6, 2022, pp. 668.
[17] Zapata-Hernandez, Camilo, Geraldine
Durango-Giraldo, Diana López, Robison
Buitrago-Sierra, and Karen Cacua. Surfactants
versus surface functionalization to improve
the stability of graphene nanofluids. Journal
of Dispersion Science and Technology, Vol.
43, No. 11, 2022, pp. 1717-1724.
[18] Marulasiddeshi, Hallera Basavarajappa,
Praveen Kumar Kanti, Mehdi Jamei, Sajjal
Basanna Prakash, Somalapura Nagappa
Sridhara, and Zafar Said. Experimental study
on the thermal properties of Al2O3-CuO/water
hybrid nanofluids: Development of an
artificial intelligence model. International
Journal of Energy Research, Vol. 46, No. 15,
2022, pp. 21066-21083.
[19] Wen Tao, Lin Lu, Shaojie Zhang, and Hong
Zhong. Experimental study and CFD
modeling on the thermal and flow behavior of
EG/water ZnO nanofluid in multiport mini
channels. Applied Thermal Engineering, Vol.
182, 2021, pp. 116089.
[20] Eltaweel, Mahmoud, Ahmed A. Abdel-
Rehim, and Ahmed AA Attia. A comparison
WSEAS TRANSACTIONS on HEAT and MASS TRANSFER
DOI: 10.37394/232012.2023.18.16
Wajiha Tasnim Urmi, M. M. Rahman,
K. Kadirgama, D. Ramasamy,
M. Samykano, M. Y Ali
E-ISSN: 2224-3461
204
Volume 18, 2023
between flat-plate and evacuated tube solar
collectors in terms of energy and exergy
analysis using nanofluid. Applied Thermal
Engineering, Vol. 186, 2021, pp. 116516.
[21] Selvaraj, Vishnuprasad, and Haribabu
Krishnan. Graphene-silver alloyed quantum
dots nanofluid: Synthesis and application in
the cooling of a simulated electronic system.
Applied Thermal Engineering, Vol. 187,
2021, pp. 116580.
[22] Jamshidmofid, Mohammad, Abbas Abbassi,
and Mehdi Bahiraei. Efficacy of a novel
graphene quantum dots nanofluid in a
microchannel heat exchanger. Applied
Thermal Engineering, Vol. 189, 2021, pp.
116673.
[23] Peng, Ruitao, Xixi Zhu, Minzi Zhou, Linfeng
Zhao, Xiangwu Xiao, and Meiliang Chen.
Preparation and tribological properties of
hybrid nanofluid of BNNs and SiC modified
by plasma. Tribology International, Vol. 191,
2024, pp. 109168.
[24] Urmi, Wajiha Tasnim, M. M. Rahman, K.
Kadirgama, D. Ramasamy, and M. A.
Maleque. An overview of synthesis, stability,
opportunities, and challenges of nanofluids.
Materials Today: Proceedings, Vol. 41, 2021,
pp. 30-37.
[25] Ouikhalfan, Mohammed, Abdelouhab Labihi,
Mohamed Belaqziz, Hassan Chehouani,
Brahim Benhamou, Ahmet Sarı, and Ahmed
Belfkira. Stability and thermal conductivity
enhancement of aqueous nanofluid based on
surfactant-modified TiO2. Journal of
Dispersion Science and Technology, Vol. 41,
No. 3, 2019, pp. 374-382.
[26] Choudhary, Rajesh, Deepak Khurana, Aditya
Kumar, and Sudhakar Subudhi. Stability
analysis of Al2O3/water nanofluids. Journal of
Experimental Nanoscience, Vol. 12, No. 1,
2017, pp. 140-151.
[27] Heidarshenas, Amir, Zoha Azizi, S. M.
Peyghambarzadeh, and S. Sayyahi.
Experimental investigation of heat transfer
enhancement using ionic liquid-Al2O3 hybrid
nanofluid in a cylindrical microchannel heat
sink. Applied Thermal Engineering, Vol. 191,
2021, pp. 116879.
[28] Urmi, WajihaTasnim, M. M. Rahman, and W.
A. W. Hamzah. An experimental investigation
on the thermophysical properties of 40%
ethylene glycol based TiO2-Al2O3 hybrid
nanofluids." International Communications in
Heat and Mass Transfer, Vol. 116, 2020,
pp. 104663.
[29] Asadi, Amin, Meisam Asadi, Alireza
Rezaniakolaei, Lasse Aistrup Rosendahl,
Masoud Afrand, and Somchai Wongwises.
Heat transfer efficiency of Al2O3-
MWCNT/thermal oil hybrid nanofluid as a
cooling fluid in thermal and energy
management applications: An experimental
and theoretical investigation. International
Journal of Heat and Mass Transfer, Vol. 117,
2018, pp. 474-486.
[30] Sajid, Muhammad Usman, and Hafiz
Muhammad Ali. Thermal conductivity of
hybrid nanofluids: a critical review.
International Journal of Heat and Mass
Transfer, Vol. 126, 2018, pp. 211-234.
[31] Khan, Masood, Mahnoor Sarfraz, Awais
Ahmed, M. Y. Malik, and Ali S. Alqahtani.
Study of engine-oil based CNT nanofluid flow
on a rotating cylinder with viscous
dissipation. Physica Scripta, Vol. 96, No. 7,
2021, pp. 075005.
[32] Moldoveanu, Georgiana Madalina, Alina
Adriana Minea, Gabriela Huminic, and Angel
Huminic. Al2O3/TiO2 hybrid nanofluids
thermal conductivity: an experimental
approach. Journal of Thermal Analysis and
Calorimetry, Vol. 137, 2019, pp. 583-592.
[33] Said, Zafar, Sahil Arora, Sajid Farooq, L.
Syam Sundar, Changhe Li, and Amine
Allouhi. Recent advances on improved
optical, thermal, and radiative characteristics
of plasmonic nanofluids: Academic insights
and perspectives. Solar Energy Materials and
Solar Cells, Vol. 236, 2022, pp. 111504.
[34] Ghafouri, Ashkan, and Davood Toghraie.
Experimental study on thermal conductivity
of SiC-ZnO/ethylene glycol hybrid nanofluid:
Proposing an optimized multivariate
correlation. Journal of the Taiwan Institute of
Chemical Engineers, 2023, pp. 104824.
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DOI: 10.37394/232012.2023.18.16
Wajiha Tasnim Urmi, M. M. Rahman,
K. Kadirgama, D. Ramasamy,
M. Samykano, M. Y Ali
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NOMENCLATURE
Al2O3
Aluminium oxide
ASHRAE
American Society of Heating,
Refrigerating and Air-Conditioning
Engineers
CTAB
Cetyl trimethylammonium bromide
E.G.
Ethylene glycol
TiO2
Titanium oxide
MWCNT
Multiwalled carbon nanotube
PVP
Polyvinylpyrrolidone
SDS
Sodium dodecyl sulfate
SDBS
Sodium dodecyl benzene sulfonate
TC[W/mK]
Thermal conductivity
ZnO
Zinc oxide
M [gm]
Mass
Subscripts
np
Nanoparticles
nf
Nanofluid
bf
Base fluid
Greek Symbols
[Kg/m3]
Density
ø
Volume concentration (%)
Contribution of Individual Authors to the
Creation of a Scientific Article (Ghostwriting
Policy).
- Wajiha Tasnim Urmi: Writing, Original draft,
Conceptualization, Methodology, Investigation,
Formal analysis, Data curation, Visualization.
- M. M. Rahman and K. Kadirgama:
Conceptualization, Methodology, Investigation,
Data curation, Validation; Writing Review &
Editing, Supervision, Final Approval
- D. Ramasamy and M. Samykano: Experimental
study, Investigation, Validation, Writing- Review
and Editing
- M. Y. Ali: Writing Review & Editing,
Validation.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
The Universiti Malaysia Pahang Al-Sultan Abdullah
(UMPSA), Malaysia, for providing laboratory
facilities and financial support. The International
Publication Research Grant supports this work
under project No. RDU223301.
Availability of Data and Materials
Data can be provided on request.
Conflict of Interest
The authors have no conflicts of interest to declare.
Creative Commons Attribution License 4.0
(Attribution 4.0 International, CC BY 4.0)
This article is published under the terms of the
Creative Commons Attribution License 4.0
https://creativecommons.org/licenses/by/4.0/deed.en
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DOI: 10.37394/232012.2023.18.16
Wajiha Tasnim Urmi, M. M. Rahman,
K. Kadirgama, D. Ramasamy,
M. Samykano, M. Y Ali
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