Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1498
Title: A Review on the Discrete Boltzmann Model for Nanofluid Heat Transfer in Enclosures and Channels
Authors: Li, G.
Aktaş, Murat Kadri
Bayazitoğlu, Y.
119871
Keywords: Natural-convection flow
Enhanced thermal-conductivity
Forced-convection
Mixed convection
Magnetic-field
Microchannel flow
Water nanofluid
Square cavity
Simulation
Tube
Issue Date: 3-Jun-2015
Publisher: Taylor & Francis Inc
Source: Li, G., Aktas, M., & Bayazitoglu, Y. (2015). A review on the discrete Boltzmann model for nanofluid heat transfer in enclosures and channels. Numerical Heat Transfer, Part B: Fundamentals, 67(6), 463-488.
Abstract: Utilizing nanofluids to enhance heat transfer is shown to be a promising option with many practical applications. As the dimensions of the enclosures and channels for fluid flows steadily decrease, the energy carrying particle behavior for thermal transport becomes more significant. Therefore, the thermal analysis requires a mesoscale approach to describe the enhanced mechanism of heat transfer at the micro-scale level, and the interactions between the multicomponent fluid and its boundary conditions. For this purpose, the spatial and temporal discretization of the Boltzmann model leading to a thermal lattice Boltzmann method (LBM) recovers the macroscopic conservations of momentum and energy through particle collisions and streaming at mesoscale discrete nodes. In this article, the LBM studies for convective heat transfer, including the external forces, is reviewed in order to allow us to identify the research gaps and to reveal the promising future possibilities of its use for nanofluids.
URI: https://doi.org/10.1080/10407790.2014.992089
https://hdl.handle.net/20.500.11851/1498
ISSN: 1040-7790
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

SCOPUSTM   
Citations

16
checked on Sep 23, 2022

WEB OF SCIENCETM
Citations

16
checked on Sep 24, 2022

Page view(s)

30
checked on Dec 5, 2022

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.