effects of thermal loading on nanofluid behaviour

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International Journal of Nanoscience Vol. 1, No. 1 (2007) 14 World Scientific Publishing Company 1 EFFECTS OF THERMAL LOADING ON NANOFLUID BEHAVIOUR SUDIPTA SOM Department of Applied Physics, Indian School of Mines Dhanbad, Jharkhand -826004, India [email protected] SUBHRAKANTI CHAKRABORTY R&D and Scientific Services, TATA Steel Ltd. Jamshedpur, Jharkhand- 831001, India [email protected] SANDIP K SAHA R&D and Scientific Services, TATA Steel Ltd. Jamshedpur, Jharkhand- 831001, India [email protected] SUMITESH DAS R&D and Scientific Services, TATA Steel Ltd. Jamshedpur, Jharkhand- 831001, India [email protected] Received Day Month Year (14 November 2009) The paper investigates the effect of thermal loading on viscosity and electrical conductivity of weakly dosed nanofluids. Two types of thermal loadings are examined: (a) a continuous increasing loading from sub-ambient 5 ºC to 40 ºC, (b) a heating (5 ºC → 45 ºC) followed by cooling (45 ºC → 5 ºC) loading. Results show that electrical conductivity is weakly dependent on thermal loading and is strongly dependent on nano-particle type. Viscosity shows a strong relationship with thermal loading but is weakly nano-particle dependent. Both electrical conductivity and viscosity show weak hysteresis during the cyclic thermal loading for low dosages. This finding is in contrast for a strong hysteresis pattern reported by Nguyen et al. [1] for highly dosed nanofluids. Keywords: Nanofluids, Viscosity, Electrical conductivity, Hysteresis. 1. Introduction Nanofluid is a mixture of solid nano particles with average particle size smaller than 100 nm, uniformly dispersed in a base fluid like water, ethylene glycol, engine oil etc [2]. The nanofluid can enhance the heat transfer performance better than any other heat transfer fluid. Most of the research on the nanofluid as heat transfer fluid is concentrated on its performance at ambient and higher temperature. Although, it is more or less obvious that at very low temperatures, nanofluid can substantially enhance the heat transfer (e.g. extraction) performance of system and there is a very small amount of work available in this area. Moreover, in authors’ knowledge, till date there is no study reported on the properties of nanofluid even at temperatures less than the room temperature. The present study is aimed at the investigation on viscosity and thermal conductivity behaviour of metallic oxide nanofluids at moderately low temperatures (e.g. 5 - 40 ºC). Viscosity and electrical conductivity are two of the most important transport

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Page 1: Effects of thermal loading on nanofluid behaviour

International Journal of Nanoscience

Vol. 1, No. 1 (2007) 1–4

World Scientific Publishing Company

1

EFFECTS OF THERMAL LOADING ON NANOFLUID BEHAVIOUR

SUDIPTA SOM

Department of Applied Physics, Indian School of Mines

Dhanbad, Jharkhand -826004, India

[email protected]

SUBHRAKANTI CHAKRABORTY

R&D and Scientific Services, TATA Steel Ltd.

Jamshedpur, Jharkhand- 831001, India

[email protected]

SANDIP K SAHA

R&D and Scientific Services, TATA Steel Ltd.

Jamshedpur, Jharkhand- 831001, India

[email protected]

SUMITESH DAS

R&D and Scientific Services, TATA Steel Ltd.

Jamshedpur, Jharkhand- 831001, India

[email protected]

Received Day Month Year (14 November 2009)

The paper investigates the effect of thermal loading on viscosity and electrical conductivity of

weakly dosed nanofluids. Two types of thermal loadings are examined: (a) a continuous increasing

loading from sub-ambient 5 ºC to 40 ºC, (b) a heating (5 ºC → 45 ºC) followed by cooling (45 ºC → 5

ºC) loading. Results show that electrical conductivity is weakly dependent on thermal loading and is

strongly dependent on nano-particle type. Viscosity shows a strong relationship with thermal loading

but is weakly nano-particle dependent. Both electrical conductivity and viscosity show weak hysteresis

during the cyclic thermal loading for low dosages. This finding is in contrast for a strong hysteresis

pattern reported by Nguyen et al. [1] for highly dosed nanofluids.

Keywords: Nanofluids, Viscosity, Electrical conductivity, Hysteresis.

1. Introduction

Nanofluid is a mixture of solid nano particles with

average particle size smaller than 100 nm, uniformly

dispersed in a base fluid like water, ethylene glycol,

engine oil etc [2]. The nanofluid can enhance the heat

transfer performance better than any other heat transfer

fluid. Most of the research on the nanofluid as heat

transfer fluid is concentrated on its performance at

ambient and higher temperature. Although, it is more

or less obvious that at very low temperatures,

nanofluid can substantially enhance the heat transfer

(e.g. extraction) performance of system and there is a

very small amount of work available in this area.

Moreover, in authors’ knowledge, till date there is no

study reported on the properties of nanofluid even at

temperatures less than the room temperature.

The present study is aimed at the investigation on

viscosity and thermal conductivity behaviour of

metallic oxide nanofluids at moderately low

temperatures (e.g. 5 - 40 ºC). Viscosity and electrical

conductivity are two of the most important transport

Page 2: Effects of thermal loading on nanofluid behaviour

2 Som et al.

properties of a colloidal dispersion. These properties

play an important role in governing the flow

behaviour, heat transfer and colloidal stability of a

dispersion. Hence, a detail analysis of these two

properties is of utmost importance for scientific

analysis of the nanofluid properties. In this study the

two transport properties, viz. electrical conductivity

and viscosity of ZnO, TiO2 and SiO2 nanofluids are

measured against the temperature variation in the sub-

ambient temperature regime. This study is also carried

out in both the heating and the cooling phases.

2. Experimental procedure

Random shape nano particles of ZnO, TiO2 and SiO2

are selected for the present study. SEM studies using

FESEM, SUPRA 25 (Ziess, Germany) reveals the

particle sizes in the following ranges:

(a) TiO2 (24- 28 nm)

(b) SiO2 (38 – 122 nm)

(c) ZnO (58 – 77 nm)

This sizes are representative of the enter material

used in the study. The appropriate quantity of nano-

particles is mixed using a ultrasonic bath for 20 mins.

No surfactants are used for the study.

A noble experimental procedure is developed to

impose the thermal loading. These are

(a) Continuous heating from a sub-ambient

temperature 5 °C to a higher temperature of 45

°C.

(b) Heating following by cooling.

The lowest temperature attempted is 5 °C that is

obtained by putting the “as-is” room temperature.

Stable nanofluid in a refrigerator for heating up and

cooling the sample and indigenous method as

schematically outlined in figure 1 is employed. The

design consists of two containers- the inner one

containing the experimental nanofluid and the outer

one contains the medium for applying the thermal

load. During the heating process the medium is heated

up using additional amount of hot water. During the

cooling process the medium is ice that is gradually

added. RTDs are used to measure the temperature of

the experimental nanofluid. A vibro-viscometer (SV-

10) and electrical conductivity meter (Cond 340i/ SBT

WTW, Germany) is used to measure the change

viscosity and electrical conductivity.

Fig. 1: Schematic diagram of experimental setup

3. Results and Discussions

The behaviour of the nanofluid subject to a single

thermal load is examined. Figure 2 shows the

nanofluid behaviour of TiO2, ZnO and SiO2 as a

function of temperature. It is observed that there is a

marginal 2~5% change in the electrical conductivity

value over the temperature range of 5- 20 ºC.

Figure 3 shows the viscosity behaviour as a function

of rising temperature. The effect here is of the order of

35- 48 ºC as the temperature rises from 5- 25 ºC. The

effect of nanoparticle type is slightly pronounced at

higher temperature.

The results of the cycle thermal load are presented

next. Here the nanofluid is first heated up using the

procedure outlined in the earlier section. Figure 4

shows the behaviour of electrical conductivity in

thermal loading. The nanoparticle type effect is similar

to that in figure 3. Only a weak hysteresis is observed

for the ZnO nanofluid. Figure 5 shows the effect on

viscosity for the cyclic loading condition. There is a

prominent hysteresis loop for all nanofluids including

DM water.

Nguyen et al. conducted experiments with Al2O3 at

higher concentrations of 7% and reported a hysteresis

effect. Table 1 compares the different experimental

conditions used by Nguyen et al. and the present

authors. Two observations are pertinent:

(a) The time taken for heating and cooling is

substantially higher than the present study.

(b) A higher concentration of 1~7% compare to

0.025% in the present study.

Page 3: Effects of thermal loading on nanofluid behaviour

Effect of nanoparticles on electrical conductivity and viscosity under cyclic temperature pattern 3 Temperature Vs. Electrical conductivity graph

0

200

400

600

800

1000

0 5 10 15 20 25

Temperature(oC)

Ele

ctr

ical

co

nd

ucti

vit

y (

mic

ro S

/Cm

)

TiO2DM waterZnOSiO2

Fig. 2: Temperature variation of electrical conductivity during

heating cycle

0.8

0.9

1

1.1

1.2

1.3

1.4

1.5

1.6

1.7

1.8

0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

Temperature ( oC)

Vis

co

sit

y (

m P

a.S

)

TiO2

ZnO

DM Water

SiO2

Fig. 3: Temperature variation of viscosity during heating cycle

0

100

200

300

400

500

600

700

800

900

0 5 10 15 20 25 30 35 40 45 50

Temperature (oC)

Ele

ctri

cal

Co

nd

uct

ivit

y (

mic

ro S

/Cm

)

ZnO

SiO2

TiO2

DM Water

Fig. 4: Temperature variation of electrical conductivity during

heating and cooling cycle

Figure 6 compares the findings of the present author

with those of Nguyen et al. The hysteresis loop is only

for the higher concentration of 7% and above. Time

for supplying the thermal load in terms of heating and

cooling rates does not affect the hysteresis pattern.

This is observed for the low concentration of 1% and

4% Al2O3 in the experiments of Nguyen et al.

Fig. 5: Temperature variation of viscosity during heating and

cooling cycle Temp. vs viscosity graph

0

0.5

1

1.5

2

2.5

0 10 20 30 40 50 60 70

Temperature(oC)

Vis

cosi

ty(m

Pa.S

)

TiO2

1 % Al2O3

4 % Al2O3

7% Al2O3

Fig. 6: Heating-cooling comparison curve for viscosity variation

with Al2O3 and TiO2 nanofluids

Table 1: Comparison between Nguyen et al. and the present

experiments

Experiment

performed by

Nguyen et al.

Present experiment

Time taken for

heating

(approximately)

240 mins 10 mins

Time taken for

cooling

(approximately)

300 mins 50 mins

Temperature

range

20 0C to 80 0C 5 0C to 40 0C /20 0C

Particle used Al2O3 SiO2, ZnO, TiO2

Particle size 47 nm TiO2 (24- 28 nm)

SiO2 (38 – 122 nm)

ZnO (58 – 77 nm)

Concentration

(in volume

fraction)

7% 0.025%

Page 4: Effects of thermal loading on nanofluid behaviour

4 Som et al.

4. Conclusions

In the present paper, the effect of temperature on

electrical conductivity and viscosity of three

nanofluids (TiO2, SiO2 and ZnO) as compared with the

base fluid (i.e. D.M water) is investigated. The

following conclusions can be drawn,

(a) The electrical conductivity is weakly dependent

on thermal loading

(b) Electrical conductivity is a strong function of

nanoparticle type.

(c) On the other hand, the viscosity of nanofluids is a

strong function of temperature (variation is 35-

48%), which decreases with increase in

temperature in the sub-ambient range.

(d) Low concentration shows negligible amount of

hysteresis in a temperature cycle for the range of

volume fraction tested.

Acknowledgement

The authors acknowledge Dr. D. Rautray and Dr.

Sachin Parashar, TATA Chemicals innovation cenre

for supply of ZnO and SiO2 sample for the present

study. The authors also acknowledge TATA Steel Ltd.

for the permission to publish the research work.

References

1. C. T. Nguyen et al., (2008), International Journal of

Thermal Sciences, 47, 103–111.

2. S. K. Das, S. U. S. Choi and H. B. Patil, (2006), Heat

transfer Engg., 295, 3-19.