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“LATEST DEVELOPMENTS ON THE
VISCOSITY OF NANO-FLUIDS”
Md. Mydul Islam
# 0417102028
Mechanical Engineering
BUET
1
ABOUT THIS PAPER
 Published in ELSEVIER
(Accepted: 7 October 2011)
 Authors:
I.M. Mahbubul, R. Saidur, M.A. Amalina
(Department of Mechanical Engineering, University of Malaya,
Malaysia)
 Keywords:
Nanofluid, Viscosity, Temperature, Particle size, Volume
concentration
2
WHAT IS NANO-FLUID
 Nanofluid is a solid–liquid mixture which consists of
nanoparticles and a base liquid.
 Nanoparticles:
- Metal (Cu, Ni, Al, etc.)
- Metal oxides (Al2O3, TiO2, CuO, SiO2, Fe2O3, Fe3O4,
BaTiO3, etc.)
- Some other compounds (AlN, SiC, CaCO3, graphene, etc.)
and
 Base fluids:
Water, EG (Ethylene Glycol, PG (Propylene Glycol), Engine
oil, etc.
3
IMPORTANCE OF NANO-FLUID
 Nanofluid draws researcher's attention because of its potential
application in heat transfer.
 Due to very small sizes and large specific surface areas of
the nanoparticles, nanofluids have superior properties like
high thermal conductivity, minimal clogging in flow passages,
long-term stability, and homogeneity.
 Better than conventional fluids.
 Works by Choi was the pioneer in the research area of
nanofluids.
4
RELATED WORKS
 Mainly focused on Thermal Conductivity.
 Related other properties:
- Heat Transfer enhancement
- Thermal Conductivity enhancement
- Thermal Transport
- Electrical Conductivity
- Thermal Diffusion
- Cooling property etc.
 Very few works on Viscosity.
5
VISCOSITY AND RELATED FACTORS
 Viscosity:
- Internal resistance of a fluid to flow
- Important property for all thermal applications involving fluids
- Pumping power is related with the viscosity
 Main Factors:
- Temperature
- Particle Size
- Volume concentration of nanoparticles
 Most of the works gave priority to the Volume Concentration.
(Table: 1)
6
7
NANO-FLUID PREPARATION
 Important for both Experimental and Application purpose.
 2 ways of preparation:
(i) Single Step Method
- Increased stability
- Minimal agglomeration
- Limited to low pressure fluids
(ii) Two Step Method
- Mostly preferred
- Suitable for oxide nanoparticles
- Partial dispersion, Quick agglomeration risk
8
EXPERIMENTAL STUDIES
Effect of Temperature
 Most of the experiments are done within the temperature
range of 5~10 to 50~60 degree Celsius.
 There are some contradictory results.
 Viscosity decreased with Temperature rise:
- Yang et al.
- Nguyen et al.
- Anoop et al.
- Duangthongsuk and Wongwises
- Turgut et al.
- Kole and Dey
- Pastoriza-Gallego et al.
- Lee et al.
- Namburu et al.
- Kulkarni 9
 Both Namburu and Kulkarni showed that the
inverse relation between viscosity and temperature
are Exponential in nature.
10
 Contradiction:
- Chen et al. works on the range of 5 C to 65 C for
MWCNT/DW and indicated that relative viscosity increases
significantly with temperature after 55 C
- Prasher stated that viscosity is independent of temperature.
11
Effect of Particle Size
- Few studies on it.
- Contradictory results.
 Nguyen et al. have some good findings:
- very less effect of particle size in case of low volume
concentration.
- at high %volume Viscosity follows the Uptrend manner with
increasing particle size.
 He et al. also found similar result.
12
 Lu and Fan found different results:
- Viscosity decreases with particle diameter
 Anoop, Chevalier, Namburu, Pastoriza-Gallego also colcluded
to the same findings.
13
 Prasher et al. Stated:
- Nanofluid viscosity is not an exact function of nanoparticle
diameter
14
Effect of Volume Fraction
 No significant contradiction.
 All experiments concluded that:
- viscosity increases with higher value of volume fraction.
- at lower concentration, this increase follows almost linear
trend.
- at higher volume fraction, most of the nanofluid suspensions
show shear-thinning property.
15
THEORETICAL STUDIES
 Einstein is the pioneer to the theoretical formulations on
nanofluid viscosity.
 Einstein’s proposal:
Here,
ÎĽnf - viscosity of the nanofluid
ÎĽbf - viscosity of the base fluid
Ď• - volume fraction of the particle
 Limitations:
- does not consider structure & particle–particle interaction
- only valid for very low volume fraction
16
 Modification from Einstein’s equation:
- Batchelor:
- Lundgren :
- Franken and Acrivos :
Here,
Ď•m = maximum particle volume fraction (experimentally)
 There are other correlations similar to these ones.
17
 All of the previous correlations are based on
volume fraction.
 There are few formulations with particle size and
temperature in it.
 Graham used Franken - Acrivos and Einstein
relation to obtain:
Here,
dp - particle radius
h - inter-particle spacing. 18
 Correlation with Temperature formulated by White:
Here,
(ÎĽo,To) are reference values and (a, b, c) given in the table by
White, are dimensionless curve-fit constants.
 Correlation by Yaws:
Here A, B, C and D are fitting parameters
19
 There are some more research works that tried to
form a correlation that relates all factors, i.e.
Temperature, Particle Size, Volume Fraction etc.
 Masoud Hosseini et al. developed this formulation
for the viscosity of Al2O3/Water nanofluid:
Φh - hydro dynamic volume fraction
d - particle diameter
r - thickness of the capping layer
To - reference temperature
T - measured temperature
a, b, and c - empirical constants (experimental)
m is a factor
20
CONCLUSION
 Viscosity of nanofluids varies with different factors.
 Temperature and Nanoparticle Size are the two
contradictory factors. They shows different
outcomes for different conditions.
 Volume fraction augments the viscous effect.
 There is not a single correlation that can work for
all types of nanofluids in all conditions.
 Different formulations are developed and more can
be done later.
 There is a huge scope to work both experimentally
and theoretically on nanofluid properties.
21
Thank You
22

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Nano-Fluid Viscosity [review]

  • 1. “LATEST DEVELOPMENTS ON THE VISCOSITY OF NANO-FLUIDS” Md. Mydul Islam # 0417102028 Mechanical Engineering BUET 1
  • 2. ABOUT THIS PAPER  Published in ELSEVIER (Accepted: 7 October 2011)  Authors: I.M. Mahbubul, R. Saidur, M.A. Amalina (Department of Mechanical Engineering, University of Malaya, Malaysia)  Keywords: Nanofluid, Viscosity, Temperature, Particle size, Volume concentration 2
  • 3. WHAT IS NANO-FLUID  Nanofluid is a solid–liquid mixture which consists of nanoparticles and a base liquid.  Nanoparticles: - Metal (Cu, Ni, Al, etc.) - Metal oxides (Al2O3, TiO2, CuO, SiO2, Fe2O3, Fe3O4, BaTiO3, etc.) - Some other compounds (AlN, SiC, CaCO3, graphene, etc.) and  Base fluids: Water, EG (Ethylene Glycol, PG (Propylene Glycol), Engine oil, etc. 3
  • 4. IMPORTANCE OF NANO-FLUID  Nanofluid draws researcher's attention because of its potential application in heat transfer.  Due to very small sizes and large specific surface areas of the nanoparticles, nanofluids have superior properties like high thermal conductivity, minimal clogging in flow passages, long-term stability, and homogeneity.  Better than conventional fluids.  Works by Choi was the pioneer in the research area of nanofluids. 4
  • 5. RELATED WORKS  Mainly focused on Thermal Conductivity.  Related other properties: - Heat Transfer enhancement - Thermal Conductivity enhancement - Thermal Transport - Electrical Conductivity - Thermal Diffusion - Cooling property etc.  Very few works on Viscosity. 5
  • 6. VISCOSITY AND RELATED FACTORS  Viscosity: - Internal resistance of a fluid to flow - Important property for all thermal applications involving fluids - Pumping power is related with the viscosity  Main Factors: - Temperature - Particle Size - Volume concentration of nanoparticles  Most of the works gave priority to the Volume Concentration. (Table: 1) 6
  • 7. 7
  • 8. NANO-FLUID PREPARATION  Important for both Experimental and Application purpose.  2 ways of preparation: (i) Single Step Method - Increased stability - Minimal agglomeration - Limited to low pressure fluids (ii) Two Step Method - Mostly preferred - Suitable for oxide nanoparticles - Partial dispersion, Quick agglomeration risk 8
  • 9. EXPERIMENTAL STUDIES Effect of Temperature  Most of the experiments are done within the temperature range of 5~10 to 50~60 degree Celsius.  There are some contradictory results.  Viscosity decreased with Temperature rise: - Yang et al. - Nguyen et al. - Anoop et al. - Duangthongsuk and Wongwises - Turgut et al. - Kole and Dey - Pastoriza-Gallego et al. - Lee et al. - Namburu et al. - Kulkarni 9
  • 10.  Both Namburu and Kulkarni showed that the inverse relation between viscosity and temperature are Exponential in nature. 10
  • 11.  Contradiction: - Chen et al. works on the range of 5 C to 65 C for MWCNT/DW and indicated that relative viscosity increases significantly with temperature after 55 C - Prasher stated that viscosity is independent of temperature. 11
  • 12. Effect of Particle Size - Few studies on it. - Contradictory results.  Nguyen et al. have some good findings: - very less effect of particle size in case of low volume concentration. - at high %volume Viscosity follows the Uptrend manner with increasing particle size.  He et al. also found similar result. 12
  • 13.  Lu and Fan found different results: - Viscosity decreases with particle diameter  Anoop, Chevalier, Namburu, Pastoriza-Gallego also colcluded to the same findings. 13
  • 14.  Prasher et al. Stated: - Nanofluid viscosity is not an exact function of nanoparticle diameter 14
  • 15. Effect of Volume Fraction  No significant contradiction.  All experiments concluded that: - viscosity increases with higher value of volume fraction. - at lower concentration, this increase follows almost linear trend. - at higher volume fraction, most of the nanofluid suspensions show shear-thinning property. 15
  • 16. THEORETICAL STUDIES  Einstein is the pioneer to the theoretical formulations on nanofluid viscosity.  Einstein’s proposal: Here, ÎĽnf - viscosity of the nanofluid ÎĽbf - viscosity of the base fluid Ď• - volume fraction of the particle  Limitations: - does not consider structure & particle–particle interaction - only valid for very low volume fraction 16
  • 17.  Modification from Einstein’s equation: - Batchelor: - Lundgren : - Franken and Acrivos : Here, Ď•m = maximum particle volume fraction (experimentally)  There are other correlations similar to these ones. 17
  • 18.  All of the previous correlations are based on volume fraction.  There are few formulations with particle size and temperature in it.  Graham used Franken - Acrivos and Einstein relation to obtain: Here, dp - particle radius h - inter-particle spacing. 18
  • 19.  Correlation with Temperature formulated by White: Here, (ÎĽo,To) are reference values and (a, b, c) given in the table by White, are dimensionless curve-fit constants.  Correlation by Yaws: Here A, B, C and D are fitting parameters 19
  • 20.  There are some more research works that tried to form a correlation that relates all factors, i.e. Temperature, Particle Size, Volume Fraction etc.  Masoud Hosseini et al. developed this formulation for the viscosity of Al2O3/Water nanofluid: Φh - hydro dynamic volume fraction d - particle diameter r - thickness of the capping layer To - reference temperature T - measured temperature a, b, and c - empirical constants (experimental) m is a factor 20
  • 21. CONCLUSION  Viscosity of nanofluids varies with different factors.  Temperature and Nanoparticle Size are the two contradictory factors. They shows different outcomes for different conditions.  Volume fraction augments the viscous effect.  There is not a single correlation that can work for all types of nanofluids in all conditions.  Different formulations are developed and more can be done later.  There is a huge scope to work both experimentally and theoretically on nanofluid properties. 21