A lattice Boltzmann algorithm for fluid–solid conjugate heat transfer
By Jinku Wang, Moran Wang, Zhixin Li. 2007
362 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/0df524465496e4a3286337663107feb46f827f50
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Citations in the corpus
- Modeling of solidification microstructure evolution in laser powder bed fusion fabricated 316L stainless steel using combined computational fluid dynamics and cellular automata (2019, background): “For the time-dependent energy equation in fluid [11, 34, 47, 51]:”
- Lattice Boltzmann methods for single-phase and solid-liquid phase-change heat transfer in porous media: A review (2018, methodology): “0] built up a full stochastic-statistic based method for predicting the effective thermal conductivity of random porous media. This method includes an LB model for fluid-solid conjugate heat transfer [184] and a random generation-growth method (the so-called QSGS method) for generating micro-morphol”
- Numerical simulation of natural convection heat transfer inside a ┴ shaped cavity filled by a MWCNT-Fe3O4/water hybrid nanofluids using LBM (2018, background): “where the value of T can be appraised from [46]”
- Modeling and prediction of the effective thermal conductivity of random open-cell porous foams (2008, methodology): “(1)–(4), the temperature evolution equation for a three-dimensional fifteen-speed (D3Q15) LBM can be generally given as [25,28],”
- Application of Computational Fluid Dynamics (CFD) for nanofluids (2012, methodology): “[110] also presented an algorithm using LBM for conjugate heat transfer between a solid and a fluid.”