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Michael E McCracken

Publications and source records attributed to Michael E McCracken.

2 recordsLinked to original sources

Lattice Boltzmann methods for binary mixtures with different molecular weights.

Previous authors have suggested lattice Boltzmann methods for binary mixtures. However, these methods are limited to fluids with nearly the same molecular weight. In this work, two modified methods are proposed for simulating fluids with different molecular weights. The first method is based upon the physical principle that particles with different molecular weights move at different lattice speeds (DLS) when at the same temperature. Therefore, different streaming distances are employed for species with different molecular weights. A second method is developed by selecting constants in the equilibrium distribution function in such a way that the speed of sound can be adjusted for each species. In this approach, the species have the same lattice speed (SLS). Using multiscale expansions, the methods are shown to reproduce the appropriate species continuity equation in the macroscopic limit. The accuracy of the methods is evaluated by studying binary diffusion problems. The DLS method is shown to be able to simulate diffusion in fluids with larger ratios of molecular weights relative to the SLS method.

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Multiple-relaxation-time lattice-Boltzmann model for multiphase flow.

The lattice-Boltzmann method has shown promise in simulating multiphase flows. However, when using the Bhatnagar-Gross-Krook (BGK) collision operator and polynomial equilibria, numerical stability problems have been shown to occur as the relaxation time is decreased. Some authors have suggested the use of multiple-relaxation-time (MRT) models in lieu of the BGK collision operator, which employs a single relaxation time, to enhance numerical stability. In this paper, a MRT lattice-Boltzmann model for multiphase flow is developed and evaluated for accuracy in several test problems including oscillating liquid cylinders and capillary waves. It is shown that the MRT model is able to achieve numerically stable results at lower viscosities relative to the corresponding BGK model.

Journal Article↗