10
2.2 Fourier Transform Infrared FTIR
An infrared spectrum represents a fingerprint of a specimen with absorption peaks which correlate to the
frequencies of vibrations between the obligations of the atom that making up the material. In order to make an
identification and requires a frequency spectrum, as the measured interferogram signal cannot be interpreted, a
means of decoding the individual frequencies is required. This can be solved only through the well-
known mathematical method called the Fourier transform. This transformation will be performed and
solved by the computer which then presents the user with desired spectral information for analysis.
2.3 Thermal Conductivity Testing
The thermal conductivity test of the nanofluid will be taken at three different temperatures which are at
6°C, 25°C and 40°C. To obtain such temperature of the nanofluid, those three samples will be immersed in the
water bath so that the temperature of the samples will maintain at desired temperature.
3. RESULTS AND DISCUSSION
The morphology of three different types of carbon nanotubes is shown in Figure 1. The nanotubes
morphology are randomly entangled and highly interconnected, probably due to the van der Waal’s.
Figure 1 SEM images of a CNT1, b CNT2, c CNT3 The surface areas contribute to the enhancement of
physical and chemical properties of nanofluids. The properties that found to influence surface area were
number of walls or diameter, impurities, and surface functionalization with hydroxyl and carboxyl groups.
All images shown in Figure 1 illustrated agglomerate carbon nanotube and nanofibers, primarily with non-
uniform tubular structure. The increase in diameter size will reduce the surface area. Higher surface areas are
expected to provide a better media for thermal transport in nanofluid.
Figure 2 shows the FTIR spectra of the CNTs. On the horizontal axis is the infrared wavelengths expressed
in term of a unit called wavenumber cm
-1
which represent the number of waves fit into one centimeter.
The peaks in the COOH spectrum represent the functional groups that are present in the molecule. The
results reveal that the CNT1 fMWNT shows the higher COOH spectrum followed by CNT2
Nanoamor, and CNT3 HHT24. The higher in the peak spectrum will enable a good dispersion of CNT in
nanofluids and improve the stability of nanofluids. Figure 2 FTIR spectra of CNTs
Table 2 Thermal conductivity WmK for CNT at various temperatures
CNT Temperature
o
C 6
25 40
CNT1 0.55
0.50 0.50
CNT2 0.57
0.50 0.60
CNT3 0.58
0.60 0.60
Table 2 shows the thermal conductivity analysis for the all CNTs. CNT3 shows the higher thermal
conductivity compared to others due to the decrement of diameter size in carbon nanofiber. The smallest diameter
generates the best enhancement in thermal conductivity which contribute to the higher surface area.
4. CONCLUSIONS
In conclusion, the study of surface area of the selected CNT nanocarbon shows that the decrement in
diameter size will attributed to the highest surface area and possesses a good thermal conductivity. The
experimental studies shows that CNT3 HHT24 generates the best enhancement in thermal conductivity.
High surface area of the CNT3 HHT24 offers a better media for thermal transport in nanofluids.
5. REFERENCES [1] Weitz, D. A., Huang, J. S., Lin, M. Y., and Sung,
J., “Dynamics of Diffusion-Limited Kinetic Aggregation,” Phys. Rev. Lett., vol. 53, pp. 1657–
1660, 1985. [2] Meakin, P., “Aggregation Kinetics,” Phys. Scr.,
vol. 46, pp. 295–331, 1992. [3] J. Eapen, R. Rusconi, R. Piazza and S. Yip, “The
Classical Nature of Thermal Conduction in Nanofluids”, Journal of Heat Transfer, vol. 132,
no. 10, pp. 1-14, 2010. [4] Iijima.S. 2007. “Nano-carbon materials: Their
Fundamentals and Various Applications including Nano-Biotechnology”. University of Wien.
[5] Lin, T., Bajpai, V., Ji, T. and Dai, L., “Chemistry of Carbon Nanotubes”. Australian Journal of
Chemistry, vol. 56, no. 7, pp. 635-651, 2003.
4000 3500
3000 2500
2000 1500
1000 500
10 26
13 83
16 24
34 37
Nanoamor MWCNT
HHT24
Tr an
sm itt
an ce
[a .u
]
Wavenumber [cm
-1
]
a b
c
CNT2 CNT1
CNT3
__________ © Centre for Advanced Research on Energy
Thermal properties and heat transfer study of dispersed fluid with functionalized Multi-Walled Carbon Nanotube MWCNT particles
F.N. Zahari
1,
, M.R.H. Noor Salim
1
, I.S. Mohamad
1
, N. Abdullah
2
, S. Thiru
3 1
Faculty of Mechanical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
2
Department of Chemistry, Centre for Foundation Studies, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, 57000, Kuala Lumpur, Malaysia.
3
Department of Mechanical Engineering, King Abdul Aziz University - North Campus P.O. Box 80204, Jeddah 21589, Kingdom of Saudi Arabia.
Corresponding e-mail: fatinbellanabilagmail.com
Keywords: Thermal conductivity; MWCNT; specific heat capacity ABSTRACT – Water, ethylene glycol and engine oil
are commonly used in heat exchanger applications as coolant. However, these fluids possess low thermal
conductivity. The advancement in nanotechnology has enabled nano-size particles to be included in a base fluid
and this is known as nanofluids. The aim of this study is to investigate the most stable and homogeneous
nanofluids with different weight percentage that produced excellent result in thermal properties and heat
transfer characteristics. For this study, the usage of MWCNT as nanoparticles and deionized water as based
fluids with surfactant were investigated for their stability and thermal properties. Different temperature
and particle volume concentration were used in this study and this will affect the thermal conductivity,
viscosity and specific heat as well as the heat transfer characteristics of nanofluids. As a result, the thermal
conductivity and specific heat capacity of nanofluids were increased when the temperature and particle
volume concentration increased. Besides that, the viscosity of nanofluids seem to decreased when
temperature was increased but not for its particle concentration.
1. INTRODUCTION
Nanofluids are a new generation of thermal fluids which have particular features that affect their behavior.
One of these features is response of nanofluids to temperature difference. Nanofluids have been found to
possess enhanced thermophysical properties such as thermal conductivity, thermal diffusivity, viscosity and
convective heat transfer coefficients as compared to those of base fluids like oil or water. Owing to their
enhanced properties as thermal transfer fluids for instance, nanofluids can be used in engineering
applications ranging from use in the automotive industry to the medical arena. Besides, it also being use
in power plant cooling systems as well as computers. Focused on the nanofluids thermal properties, the
temperature are greatly affected their thermal properties. It increasing the thermal conductivity for nanofluid
when the temperature range increased [1,5]. The results suggested the application of nanofluids as coolant for
devices with high energy density where the cooling fluid works at temperature higher than room
temperature. Besides that, the viscosity of nanofluids also increased with increasing MWCNT concentration
and decreasing temperature [2] meanwhile the specific heat of nanofluids decreases with an increase in
concentration and an increase in temperature [3].
2. METHODOLOGY 2.1 Preparation of Nanofluids
To produce nanofluids, the MWCNT particles were used in this study and deionized water DI as well
as polyvinylpyrrolidone PVP were used as base fluid and surfactant respectively. The nanofluids were
prepared by dispersing MWCNT nanoparticles and PVP in a base fluid. They were mixed together by using a
homogenizer at a rotational speed of 10000 rpm for about 5 minutes. Each of the samples will undergo 30
minutes of intensive ultrasonication to disperse the nanoparticles. This process was conducted by using the
Elmasonic S30H Ultrasonicator 50-60 kHz frequency with 280W of output power. It generates high shear
forces that break particle agglomerates into single dispersed particles.
2.2 Stability Test
Each samples need to undergo stability test. As for an investigation of the stability characteristics, the
sedimentation of the nanofluid samples was observed for the duration of 100 hours by visual inspection and
also by using laser shot technique. The stability of the nanofluid is generally determined by penetration of the
laser beam emitted from the semiconductor laser diode which will travel through the nanofluid. If the laser light
can travel through the nanofluid, the samples are considered as stable nanofluids. The stable nanofluid
was then used for further experimentation. The stability of nanofluid was affected by the characteristics of
suspended particle and base fluids such as the particle morphology, the chemical structure of the particles and
base fluid [4,6].