Brownian-Motion-Based Convective-Conductive Model for the Effective Thermal Conductivity of Nanofluids

Author:

Prasher Ravi1,Bhattacharya Prajesh2,Phelan Patrick E.2

Affiliation:

1. Intel Corporation, CH5-157, 5000 W. Chandler Blvd., Chandler, AZ 85226-3699

2. Arizona State University, Department of Mechanical & Aerospace Engineering, Tempe, AZ 85287-6106

Abstract

Here we show through an order-of-magnitude analysis that the enhancement in the effective thermal conductivity of nanofluids is due mainly to the localized convection caused by the Brownian movement of the nanoparticles. We also introduce a convective-conductive model which accurately captures the effects of particle size, choice of base liquid, thermal interfacial resistance between the particles and liquid, temperature, etc. This model is a combination of the Maxwell-Garnett (MG) conduction model and the convection caused by the Brownian movement of the nanoparticles, and reduces to the MG model for large particle sizes. The model is in good agreement with data on water, ethylene glycol, and oil-based nanofluids, and shows that the lighter the nanoparticles, the greater the convection effect in the liquid, regardless of the thermal conductivity of the nanoparticles.

Publisher

ASME International

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference38 articles.

1. Nanofluids for Heat Transfer Applications;Phelan;Annu. Rev. Heat Transfer

2. Measuring Thermal Conductivity of Fluids Containing Oxide Nanoparticles;Lee;J. Heat Transfer

3. Thermal Conductivity Enhancement of Suspensions Containing Nanosized Alumina Particles;Xie;J. Appl. Phys.

4. Alternation of Thermal Conductivity and Viscosity of Liquid by Dispersing Ultra-fine Particles (Dispersion of γ-Al2O3, SiO2, and TiO2 Ultra-fine Particles;Masuda;Netsu Bussei

5. Temperature Dependence of Thermal Conductivity Enhancement for Nanofluids;Das;J. Heat Transfer

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