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Experimental study of viscosity and thermal conductivity of water based Fe3O4 nanofluid with highly disaggregated particles

Liu, Zeyu; Wang, Xin; Gao, Hongtao; Yan, Yuying

Experimental study of viscosity and thermal conductivity of water based Fe3O4 nanofluid with highly disaggregated particles Thumbnail


Authors

Zeyu Liu

XIN WANG Xin.Wang4@nottingham.ac.uk
Research Fellow

Hongtao Gao

YUYING YAN YUYING.YAN@NOTTINGHAM.AC.UK
Professor of Thermofluids Engineering



Abstract

This work aims to experimentally study the viscosity and thermal conductivity of water based Fe3O4 nanofluid with highly disaggregated nanoparticles. The citric acid is modified on Fe3O4 nanoparticles with carboxyl groups, which enables particles to be disaggregated by enhancing the surface potential of nanoparticles through increasing pH values. To study the highly disaggregated Fe3O4 nanofluid, we firstly investigate the effect of volume fraction, pH value, and temperature on the viscosity of modified Fe3O4 nanofluid. The experimental results show that the viscosity of the modified Fe3O4 nanofluid is in good agreement with the Einstein equation when nanoparticles are highly disaggregated. At a pH of 8, We then study the effect of volume fraction and temperature on the thermal conductivity of modified Fe3O4 nanofluid. While the enhancement of modified Fe3O4 nanofluid is not significant, the highest thermal conductivity can be achieved when nanofluid is at a highly disaggregated level with a volume fraction of 0.32%, and thermal conductivity is consistent with the classic Maxwell model.

Citation

Liu, Z., Wang, X., Gao, H., & Yan, Y. (2022). Experimental study of viscosity and thermal conductivity of water based Fe3O4 nanofluid with highly disaggregated particles. Case Studies in Thermal Engineering, 35, Article 102160. https://doi.org/10.1016/j.csite.2022.102160

Journal Article Type Article
Acceptance Date May 28, 2022
Online Publication Date May 29, 2022
Publication Date 2022-07
Deposit Date Dec 7, 2023
Publicly Available Date Dec 7, 2023
Journal Case Studies in Thermal Engineering
Electronic ISSN 2214-157X
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 35
Article Number 102160
DOI https://doi.org/10.1016/j.csite.2022.102160
Keywords Nanofluid, Disaggregation, Viscosity, Thermal conductivity, Zeta potential, pH
Public URL https://nottingham-repository.worktribe.com/output/8310188
Publisher URL https://www.sciencedirect.com/science/article/pii/S2214157X22004063

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