Advances in the modelling of concentration-dependent relative viscosity data for nanofluids by introducing the Dispersion Factor

Abstract

The viscosity ratio (relative viscosity) of a nanofluid to its base liquid is related to the nanoparticle volume fraction by various developed theoretical and empirical equations. However, the theoretical framework used up to now is often inadequate for modelling experimental data. Now, a new parameter denoted as the Dispersion Factor (DF) is proposed to advance the accurate modelling of relative viscosities of nanofluids dependent on nanoparticle volume fraction. Literature data of TiO2, γ-Al2O3 and SiO2 nanofluids have been selected and subjected to our new theoretical treatment using the Chen equation adapted with the Dispersion Factor to model the relative viscosity in relation to the nanoparticle volume fractions. A much better agreement with the experimental data has been obtained. The value of DF that is identified by the mathematical modelling of relative viscosity data reflects the comprehensive effect of particle size, shape and chemical composition on the interactions between the nanoparticle and the base liquid on the one hand, and solvated nanoparticle and nanoparticle interactions on the other hand. The DF parameter may present a possible tool that can be used to tailor and tune the nanofluid design to meet specific application requirements.

Publication DOI: https://doi.org/10.1016/j.molliq.2023.121644
Divisions: College of Engineering & Physical Sciences > Energy and Bioproducts Research Institute (EBRI)
College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Chemical Engineering & Applied Chemistry
College of Engineering & Physical Sciences > Aston Institute of Materials Research (AIMR)
College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > Aston Advanced Materials
Additional Information: Copyright 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Publication ISSN: 1873-3166
Last Modified: 28 Feb 2024 08:31
Date Deposited: 13 Apr 2023 10:22
Full Text Link:
Related URLs: https://www.sco ... 048d122fadee5ce (Scopus URL)
https://www.sci ... 4476?via%3Dihub (Publisher URL)
PURE Output Type: Article
Published Date: 2023-06-15
Published Online Date: 2023-03-17
Accepted Date: 2023-03-12
Authors: Akande, I.
Bridgwater, T. (ORCID Profile 0000-0001-7362-6205)
van Koningsbruggen, P.J. (ORCID Profile 0000-0001-9366-1913)
Yuan, Q. (ORCID Profile 0000-0001-5982-3819)

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