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A lattice Boltzmann method for single- and two-phase models of nanofluids: Newtonian and non-Newtonian nanofluids


Kefayati, G and Bassom, AP, A lattice Boltzmann method for single- and two-phase models of nanofluids: Newtonian and non-Newtonian nanofluids, Physics of Fluids, 33 Article 102008. ISSN 1070-6631 (2021) [Refereed Article]

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Copyright Statement

2021 Author(s). Published under an exclusive license by AIP Publishing.

DOI: doi:10.1063/5.0067744


Nanofluids play an important role in many different industries for an improvement of heat transfer. The modeling and simulation of such fluids is developing continuously. Two important models for studying nanofluids are mixture (or single-phase) and two-phase (or Buongiorno) forms, which have been examined in various ways. Non-Newtonian behavior of nanofluids (shear-thinning and viscoplasticity) has been observed in experimental tests and simulated in several studies. However, a lattice Boltzmann method (LBM), which can employ either model depending on the particular non-Newtonian constitutive equation, has not been considered to date within the suite of available numerical methods. Here, we propose a comprehensive LBM to simulate both Newtonian and non-Newtonian nanofluids. The approach has the potential to incorporate any format of extra tensor directly and is independent to the relaxation time; the upshot is that our method is appropriate for studying non-Newtonian nanofluids. The derivations for both models are presented and discussed in some detail. To evaluate the proposed method, it was compared with previous studies into a benchmark problem, natural convection in a square enclosure filled with Newtonian nanofluids and non-Newtonian fluids. Then, the applied macroscopic and LBM equations, using the power-law and viscoplastic models, for the benchmark are derived and the results are presented.

Item Details

Item Type:Refereed Article
Keywords:nanofluid, LBM, non-Newtonian, heat and mass transfer
Research Division:Engineering
Research Group:Fluid mechanics and thermal engineering
Research Field:Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)
Objective Division:Energy
Objective Group:Renewable energy
Objective Field:Solar-thermal energy
UTAS Author:Kefayati, G (Dr Gholamreza Kefayati)
UTAS Author:Bassom, AP (Professor Andrew Bassom)
ID Code:147535
Year Published:2021
Web of Science® Times Cited:9
Deposited By:Engineering
Deposited On:2021-11-07
Last Modified:2021-12-03
Downloads:1 View Download Statistics

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