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Thermo-physical properties and thermo-magnetic convection of ferrofluid

Alsaady, Mustafa, Fu, Rong, Li, Bo, Boukhanouf, Rabah, Yan, Yuying (2015) Thermo-physical properties and thermo-magnetic convection of ferrofluid. Applied Thermal Engineering, 88 . pp. 14-21. ISSN 1359-4311. (doi:10.1016/j.applthermaleng.2014.09.087) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:87896)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
https://doi.org/10.1016/j.applthermaleng.2014.09.0...

Abstract

The increasing interest in developing nanofluids in general and ferrofluids in particular offers a possibility of controlling and enhancing the flow and heat transfer in engineering processes. This paper attempts to review the benchmark thermo-physical and magnetic properties (thermal conductivity, convective heat transfer and viscosity) of ferrofluids reported in literature. The main focus of this review was to investigate the influence on the thermo-physical properties of a ferrofluid when external magnet field was applied. It was reported that the thermal conductivity of a ferrofluid could be up to 300 times that of base fluid and that the viscosity could also be increased due the formation of chain-like particle assembly in the magnetic field along the direction the thermal gradient. In addition recommendations for future work have drawn particularly in the area of understanding the magnetic nanoparticles distribution in the presence of magnetic field, developing realistic thermal conductivity models based on clustering and experimental validation of the theoretical models.

Item Type: Article
DOI/Identification number: 10.1016/j.applthermaleng.2014.09.087
Uncontrolled keywords: Ferrofluid; Thermo-physical property; Magnetic; Nanoparticles
Subjects: T Technology > TJ Mechanical engineering and machinery > Control engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Amy Boaler
Date Deposited: 04 May 2021 10:55 UTC
Last Modified: 05 May 2021 11:26 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/87896 (The current URI for this page, for reference purposes)
Li, Bo: https://orcid.org/0000-0002-1973-1570
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