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Aggregation structure and thermal conductivity of nanofluids

Xuan, Yimin, Li, Qiang, Hu, Weifeng·2003·AIChE Journal

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.

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Metadata

Authors
Xuan, Y., Li, Q., & Hu, W.
Venue
AIChE Journal
Publisher
Wiley
Published
2003-04
Volume
49
Issue
4
Pages
1038-1043
ISSN
  • 0001-1541 (ISSN-L)
  • 1547-5905
OpenAlex
W2093603205
Cited by
827
References
0
FWCI
9.48
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Aggregation structure and thermal conductivity of nanofluids. https://app.cochat.ai/papers/10.1002/aic.690490420
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Xuan, Y., Li, Q., & Hu, W. (2003). Aggregation structure and thermal conductivity of nanofluids. AIChE Journal. https://doi.org/10.1002/aic.690490420

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.