Diffusion, aggregation, and the thermal conductivity of nanofluids

Gharagozloo, Patricia E.; Eaton, John K.; Goodson, Kenneth E.

doi:doi:10.1063/1.2977868

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Degenerate doping induced metallic behaviors in ZnO nanobelts

The authors report the electrical transport properties of an individual degenerately In-doped ZnO (ZnO:In) nanobelts. The room temperature resistivity and electron concentration of the ZnO:In nanobelts are found to be 8.9×10−4 Ω cm and 1.17×1020 cm−3, respectively. The temperature dependent resistivity of the ZnO:In nanobelts agrees well with the Bloch–Grüneisen theory due to the electron-acoustic phonon scattering mechanism. A high failure-current density of 7.4×106 A/cm2 is measured because o...

Visualization and investigation of Si–C covalent bonding of single carbon nanotube grown on silicon substrate

It has been predicted that the electronic properties of carbon nanotubes (CNTs) can be dramatically tuned by forming Si–C bonds with a silicon surface. Thus, the realization of Si–C bonds will broaden future applications of CNTs on nanodevices. In this paper, we use micro-Raman imaging and spectroscopy to investigate the interaction between individual CNTs and silicon substrate. We show that covalent bonds were formed between certain CNTs and the substrate, and visualized such Si-CNT bonds usin...

The effects of nanoparticle aggregation and diffusion are difficult to separate using most nanofluid thermal conductivity data, for which the temperature dependence is collected sequentially. The present work captures the instantaneous temperature-dependent thermal conductivity using cross-sectional infrared microscopy and tracks the effects of aggregation and diffusion over time. The resulting data are strongly influenced by spatial and temperature variations in particle size and concentration and are interpreted using a Monte Carlo simulation and rate equations for particle and heat transport. These experiments improve our understanding of nanofluid behavior in practical systems including microscale heat exchangers.

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KEYWORDS and PACS

Keywords

aggregation, diffusion, heat conduction, heat exchangers, Monte Carlo methods, nanoparticles, optical microscopy, particle size, thermal conductivity

PACS

66.25.+g

Thermal conduction in nonmetallic liquids
61.20.Ja

Computer simulation of liquid structure
82.70.-y

Disperse systems; complex fluids
65.80.-g

Thermal properties of small particles, nanocrystals, nanotubes, and other related systems

ARTICLE DATA

Digital Object Identifier

http://dx.doi.org/10.1063/1.2977868

PUBLICATION DATA

ISSN

0003-6951 (print)

1077-3118 (online)

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$abstract.society.value is a Member of CrossRef

American Institute of Physics

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