TY - GEN

T1 - Determining the effective thermal conductivity of a nanofluid using Brownian dynamics simulation

AU - Bhattacharya, P.

AU - Saha, S. K.

AU - Yadav, A.

AU - Phelan, Patrick

AU - Prasher, R. S.

PY - 2003/1/1

Y1 - 2003/1/1

N2 - A nanofluid is a fluid containing suspended solid particles, with sizes of the order of nanometers. Normally the fluid has a low thermal conductivity compared to the suspended particles. Therefore introduction of these particles into the fluid increases the effective thermal conductivity of the system. It is of interest to predict the effective thermal conductivity of such a nanofluid under different conditions like varying particle volume fraction, varying particle size, changing fluid conductivity or changing fluid viscosity, especially since only limited experimental data are available. Also, some controversy exists about the role of Brownian motion in enhancing the nanofluid's thermal conductivity. We have developed a novel technique to compute the effective thermal conductivity of a nanofluid using Brownian dynamics simulation, which has the advantage of being computationally less expensive than molecular dynamics. We obtain the contribution of the nanoparticles towards the effective thermal conductivity using the equilibrium Green-Kubo method. Then we combine that with the thermal conductivity of the base fluid to obtain the effective thermal conductivity of the nanofluid, and thus are able to show that the Brownian motion contributes greatly to the thermal conductivity.

AB - A nanofluid is a fluid containing suspended solid particles, with sizes of the order of nanometers. Normally the fluid has a low thermal conductivity compared to the suspended particles. Therefore introduction of these particles into the fluid increases the effective thermal conductivity of the system. It is of interest to predict the effective thermal conductivity of such a nanofluid under different conditions like varying particle volume fraction, varying particle size, changing fluid conductivity or changing fluid viscosity, especially since only limited experimental data are available. Also, some controversy exists about the role of Brownian motion in enhancing the nanofluid's thermal conductivity. We have developed a novel technique to compute the effective thermal conductivity of a nanofluid using Brownian dynamics simulation, which has the advantage of being computationally less expensive than molecular dynamics. We obtain the contribution of the nanoparticles towards the effective thermal conductivity using the equilibrium Green-Kubo method. Then we combine that with the thermal conductivity of the base fluid to obtain the effective thermal conductivity of the nanofluid, and thus are able to show that the Brownian motion contributes greatly to the thermal conductivity.

UR - http://www.scopus.com/inward/record.url?scp=1842740893&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=1842740893&partnerID=8YFLogxK

U2 - 10.1115/ht2003-47280

DO - 10.1115/ht2003-47280

M3 - Conference contribution

AN - SCOPUS:1842740893

SN - 0791836959

SN - 9780791836958

T3 - Proceedings of the ASME Summer Heat Transfer Conference

SP - 777

EP - 783

BT - Proceedings of the 2003 ASME Summer Heat Transfer Conference, Volume 3

PB - American Society of Mechanical Engineers

T2 - 2003 ASME Summer Heat Transfer Conference (HT2003)

Y2 - 21 July 2003 through 23 July 2003

ER -