2007
DOI: 10.1016/j.ijthermalsci.2006.04.002
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Investigations of convective heat transfer in ferrofluid microflows using lattice-Boltzmann approach

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Cited by 83 publications
(19 citation statements)
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References 22 publications
(26 reference statements)
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“…Investigations on LBM are still going on in order to attain more progress for better simulation of fluid flow and heat transfer. Thus, several researchers have been trying to find out if it is applicable for different conditions and geometries [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…Investigations on LBM are still going on in order to attain more progress for better simulation of fluid flow and heat transfer. Thus, several researchers have been trying to find out if it is applicable for different conditions and geometries [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…It is proved that the lattice BGK method is consistent with the Navier-Stokes equation for fluid flow through ChapmanEnskog expansion (Benzi et al, 1992). As a flexible and effective numerical method, it finds increasing applications in simulating complex flow, heat, and mass transfer problems (Chen and Doolen, 1998;Xuan et al, 2007;Li et al, 2005;Orazio et al, 2003). An important advantage of the lattice Boltzmann method is that it can simulate the interfacial force between the two different phases conveniently and catch the interface of the two different phases clearly.…”
Section: Multiphase Lattice Boltzmann Modelmentioning
confidence: 99%
“…It is proved that the lattice BGK method is consistent with the Navier-Stokes equation for fluid flow through Chapman-Enskog expansion (Benzi et al 1992). As a flexible and effective numerical method, it finds increasing applications in simulating complex flow, heat, and mass transfer problems (Qian et al 1995;Chen and Doolen 1998;Xuan et al 2007;Li et al 2005;Orazio et al 2003;He et al 1998). An important advantage of the lattice Boltzmann method is that the complex geometry boundary conditions, such as porous structure, curved boundaries can be conveniently incorporated into the numerical model (McClure et al 2010;Jeong 2010;Zhao et al 2007).…”
Section: Introductionmentioning
confidence: 99%