2018
DOI: 10.1080/10407782.2018.1487690
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Hybrid lattice Boltzmann finite difference simulation of Soret convection flows in a square cavity with internal heat generation

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Cited by 10 publications
(2 citation statements)
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“…The first one is the mesoscopic lattice Boltzmann approach and the second one is the macroscopic finite difference technique. Indeed, the association of these methods is commonly used in two dimensions to analyze different thermal systems in various geometries ( Lallemand & Luo, 2003;Shi et al, 2006;Xu et al, 2006;Bettaibi et al, 2014;Hasnaoui et al, 2018). In three dimensions, FDM methods have been used for many years to perform various numerical simulations, while the LBM approach is relatively new.…”
Section: Introductionmentioning
confidence: 99%
“…The first one is the mesoscopic lattice Boltzmann approach and the second one is the macroscopic finite difference technique. Indeed, the association of these methods is commonly used in two dimensions to analyze different thermal systems in various geometries ( Lallemand & Luo, 2003;Shi et al, 2006;Xu et al, 2006;Bettaibi et al, 2014;Hasnaoui et al, 2018). In three dimensions, FDM methods have been used for many years to perform various numerical simulations, while the LBM approach is relatively new.…”
Section: Introductionmentioning
confidence: 99%
“…Gangawane et al [20] studied the heat transfer process of fluid in the square cover drive cavity with triangular blocks, and the empirical formula for Nusselt number calculation about dimensionless length, triangular block position and Rayleigh number were proposed. Hasnaoui et al [21] utilized LBM to study the natural-convection heat transfer process in the square cavity with Soret effect and internal heat source, and analyzed the simulation results by the change of Nusselt number on the hot wall. Ibrahim et al [22,23] utilized LBM to study the natural convective heat transfer process of nanofluids in an inner heat source square cavity and a quarter of a circular tube, selected the relevant parameters of the highest heat transfer rate through the optimization of neural network algorithm.…”
Section: Introductionmentioning
confidence: 99%