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

被引:3
作者
Akande, Ifeoluwa [1 ]
Bridgwater, Tony [1 ]
Koningsbruggen, Petra J. van [2 ]
Yuan, Qingchun [1 ,2 ]
机构
[1] Aston Univ, Energy & Bioprod Res Inst, Coll Engn & Phys Sci, Birmingham B4 7ET, England
[2] Aston Univ, Coll Engn & Phys Sci, Sch Infrastruct & Sustainable Engn, Dept Chem Engn & Appl Chem, Birmingham B4 7ET, England
关键词
Nanofluids; Relative viscosity; Relative viscosity modelling; ENHANCED OIL-RECOVERY; WALLED CARBON NANOTUBES; THERMAL-CONDUCTIVITY; HEAT-TRANSFER; AGGREGATION KINETICS; INTERFACIAL-TENSION; AQUEOUS SUSPENSIONS; FLOW BEHAVIOR; NANOPARTICLES; WATER;
D O I
10.1016/j.molliq.2023.121644
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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, c-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. (c) 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/).
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页数:6
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