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|Title:||A fractional step axisymmetric lattice Boltzmann flux solver for incompressible swirling and rotating flows||Authors:||Wang, Y.
Fractional step method
Lattice Boltzmann model
|Issue Date:||13-Jun-2014||Citation:||Wang, Y., Shu, C., Teo, C.J. (2014-06-13). A fractional step axisymmetric lattice Boltzmann flux solver for incompressible swirling and rotating flows. Computers and Fluids 96 : 204-214. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compfluid.2014.03.006||Abstract:||A fractional step axisymmetric lattice Boltzmann flux solver (ALBFS) is proposed for simulation of incompressible swirling and rotating flows in this paper. The predictor and corrector steps are introduced in the present solver. At first, the governing equations of axisymmetric flows are written as the quasi-two-dimensional forms with external forcing terms. Then in the predictor step, without considering the external forcing terms, the intermediate flow variables are predicted at the cell center by finite volume discretization of the conservative equations recovered by lattice Boltzmann equation (LBE). In this step, the lattice Boltzmann flux solver is presented to evaluate fluxes at the cell interface by local application of lattice Boltzmann method (LBM). The double-distribution-function lattice Boltzmann (LB) models are used to provide the local LBM solution at the cell interface, in which one distribution function is used for the axial and radial velocities while the other is adopted for the azimuthal velocity. In the corrector step, the intermediate flow variables are corrected by the external forcing terms. Compared with conventional axisymmetric LB models, the present work also computes the azimuthal velocity by a LB model and avoids complicated introduction of external forcing terms into the LB model. The reliability and flexibility of present solver are validated by simulations of pipe flow, Taylor-Couette flow and cylindrical cavity flow. The present numerical results agree excellently well with theoretical solution or available data in the literature. © 2014 Elsevier Ltd.||Source Title:||Computers and Fluids||URI:||http://scholarbank.nus.edu.sg/handle/10635/84781||ISSN:||00457930||DOI:||10.1016/j.compfluid.2014.03.006|
|Appears in Collections:||Staff Publications|
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