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Enhancing thermal conductivity of fluids with nano-particles

Stephen U. S. Choi
01 Jan 1995-Vol. 231, pp 99-105
About: The article was published on 1995-01-01 and is currently open access. It has received 7263 citations till now. The article focuses on the topics: Thermal conductivity & Nanoparticle.
Citations
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Journal Article•DOI•
Heat transfer and flow behaviour of aqueous suspensions of TiO2 nanoparticles (nanofluids) flowing upward through a vertical pipe

[...]

Yurong He1, Jin Yi2, Haisheng Chen3, Yulong Ding1, Daqiang Cang2, Huilin Lu4 •
University of Leeds1, University of Science and Technology Beijing2, Chinese Academy of Sciences3, Harbin Institute of Technology4
01 Jun 2007-International Journal of Heat and Mass Transfer
TL;DR: In this paper, stable aqueous TiO2 nanofluids with different particle sizes and concentrations were formulated and measured for their static thermal conductivity and rheological behaviour.

889 citations

Journal Article•DOI•
New temperature dependent thermal conductivity data for water-based nanofluids

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Honorine Angue Mintsa1, Gilles Roy1, Cong Tam Nguyen1, Dominique Doucet1•
Université de Moncton1
01 Feb 2009-International Journal of Thermal Sciences
TL;DR: In this article, the effects of particle volume fraction, temperature and particle size on thermal conductivity of alumina/water and copper oxide/water nanofluids were investigated.

886 citations

Cites background from "Enhancing thermal conductivity of f..."

  • ...Although suspensions containing larger sized particles have been considered for several decades (see, for example, [2–5]), early work on these so-called “nanofluids” (termed by Choi in 1995 [6]) have shown that various types of oxide nanoparticles have excellent dispersion properties in typical coolants and form surprisingly stable suspensions [7]....

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Journal Article•DOI•
Temperature and particle-size dependent viscosity data for water-based nanofluids : Hysteresis phenomenon

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Cong Tam Nguyen1, F. Desgranges, Gilles Roy1, Nicolas Galanis2, Thierry Maré3, S. Boucher1, H. Angue Mintsa1 •
Université de Moncton1, Université de Sherbrooke2, Intelligence and National Security Alliance3
01 Dec 2007-International Journal of Heat and Fluid Flow
TL;DR: In this paper, the influence of both the temperature and the particle size on the dynamic viscosities of two particular water-based nanofluids, namely water-Al2O3 and water-CuO mixtures, was investigated experimentally using a piston-type calibrated viscometer based on the Couette flow inside a cylindrical measurement chamber.

876 citations

Journal Article•DOI•
Nanofluids for thermal transport

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Pawel Keblinski1, Jeffrey A. Eastman2, David G. Cahill3•
Rensselaer Polytechnic Institute1, Argonne National Laboratory2, University of Illinois at Urbana–Champaign3
01 Jun 2005-Materials Today
TL;DR: In this article, the authors show that the extent of thermal conductivity enhancement sometimes greatly exceeds the predictions of well-established theories, and new theoretical descriptions may be needed to account properly for the unique features of nanofluids, such as high particle mobility and large surface to volume ratio.

824 citations

Cites background from "Enhancing thermal conductivity of f..."

  • ...For example, in the limit of high-aspect-ratio fibers, a simple geometrical analysis provides an estimate for the composite thermal conductivity Λeff, assuming that the thermal resistance of the nanotube interfaces is negligible: Λeff = f Λfiber <cos2 θ> (1) where Λeff and Λfiber are the thermal conductivity of the composite and fiber, respectively, f is the fiber volume fraction, and θ is the angle between the direction of heat flow and the fiber axis....

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Journal Article•DOI•
Aggregation structure and thermal conductivity of nanofluids

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Yimin Xuan1, Qiang Li1, Weifeng Hu1•
Nanjing University of Science and Technology1
01 Apr 2003-Aiche Journal
TL;DR: In this article, the theory of Brownian motion and diffusion-limited aggregation model are applied to simulate random motion and the aggregation process of the nanoparticles, and a theoretical model is developed to predict the thermal conductivity of nanofluids.
Abstract: Nanofluids are obtained by suspending metallic nanoparticles in conventional base liquids. Such a new class of heat-transfer fluid is superior to the base liquids in energy-transport performance, which depends on the distribution, volume fraction and thermal properties of the suspended nanoparticles. The theory of Brownian motion and the diffusion-limited aggregation model are applied to simulate random motion and the aggregation process of the nanoparticles. A theoretical model is developed to predict the thermal conductivity of nanofluids. Comparison between the theoretical and experimental results shows the validity and accuracy of the theoretical model.

746 citations

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01 May 1999-Journal of Heat Transfer-transactions of The Asme
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