Application of Computational Fluid Dynamics (CFD) for nanofluids

Evaluating the heat transfer enhancement due to the use of nanofluids has recently become the center of interest for many researchers. This newly introduced category of cooling fluids containing ultrafine nanoparticles (1–100nm) has displayed fascinating behavior during experiments including increas...

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Bibliographic Details
Published in:International journal of heat and mass transfer Vol. 55; no. 15-16; pp. 4104 - 4115
Main Authors: Kamyar, A., Saidur, R., Hasanuzzaman, M.
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.07.2012
Elsevier
Subjects:
Applied sciences
Chemistry
Colloidal state and disperse state
Computational fluid dynamics
Computational methods in fluid dynamics
Computer simulation
Condensed matter: structure, mechanical and thermal properties
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Fluid dynamics
Fluid flow
Fluids
Fundamental areas of phenomenology (including applications)
General and physical chemistry
Heat transfer
Heat transfer enhancement
Lattice Boltzmann
Mathematical models
Nanocomposites
Nanofluid
Nanofluids
Nanomaterials
Nanostructure
Numerical study
Physical and chemical studies. Granulometry. Electrokinetic phenomena
Physics
Theoretical studies. Data and constants. Metering
Thermal properties of condensed matter
Thermal properties of small particles, nanocrystals, nanotubes
Heat transfer enhancement
Lattice Boltzmann
Nanofluid
Numerical study
Boltzmann equation
Two phase flow
Computational fluid dynamics
Nanoparticle
Lattice model
Numerical simulation
Single phase flow
Modeling
Heat transfer
ISSN:0017-9310, 1879-2189
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Summary:Evaluating the heat transfer enhancement due to the use of nanofluids has recently become the center of interest for many researchers. This newly introduced category of cooling fluids containing ultrafine nanoparticles (1–100nm) has displayed fascinating behavior during experiments including increased thermal conductivity and augmented heat transfer coefficient compared to a pure fluid. This article reviews and summarizes the numerical studies performed in this area including conventional numerical methods as well as the new Lattice Boltzmann Method (LBM). Most of these computational simulations are in acceptable concordance with the results from experiments. However, there are some challenges to encounter when dealing with nanofluids. Changes might be necessary to mathematical models before simulation such as using two-phase models instead of single-phase models for nanofluids.
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ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2012.03.052