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Investigations of heat transfer of copper-in-Therminol 59 nanofluids

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journal contribution
posted on 2013-12-18, 00:00 authored by Wenhua Yu, Elena V. Timofeeva, Dileep Singh, David M. France, Roger K. Smith
Convective turbulent-flow heat transfer experiments were performed with Therminol 59-based nanofluids containing copper nanoparticles at particle volume concentrations of 0.50% and 0.75%. These nanofluids have the unusual properties of being significantly above the thermal conductivity predictions of the effective medium theory with high dynamic viscosities. The friction factors and heat transfer coefficients of the nanofluids were experimentally determined and compared to the predictions from the standard correlation equations. The experimental heat transfer coefficient enhancements were also compared to the predicted heat transfer coefficient ratios of the nanofluids over the base fluid using their thermophysical properties. Finally, based on the measured thermophysical properties and heat transfer coefficients of the nanofluids, the effect of elevated temperature on the heat transfer coefficient ratios of the nanofluids over the base fluid were evaluated.

Funding

This work was sponsored by the US Department of Energy’s Solar Energy Technology Program Office, American Recovery and Reinvestment Act (ARRA) funding, under contract number DE-AC02-06CH11357 at Argonne National Laboratory, managed by UChicago Argonne LLC.

History

Publisher Statement

NOTICE: This is the author’s version of a work that was accepted for publication in International Journal of Heat and Mass Transfer. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Heat and Mass Transfer, Vol 64, 2013 DOI: 10.1016/j.ijheatmasstransfer.2013.03.023

Publisher

Elsevier

Language

  • en_US

issn

0017-9310

Issue date

2013-09-01

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