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A generalized lattice Boltzmann model for fluid flow system and its application in two-phase flows

机译:流体流动系统的广义格子玻尔兹曼模型及其在两相流中的应用

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In this paper, a generalized lattice Boltzmann (LB) model with a source term in the continuity equation is proposed to solve both incompressible and nearly incompressible Navier-Stokes (N-S) equations. This model can be used to deal with single-phase and two-phase flows problems with a source term in the continuity equation. From this generalized model, we can not only get some existing models, but also derive new models. Moreover, for the incompressible model derived, a modified pressure scheme is introduced to calculate the pressure, and then to ensure the accuracy of the model. In this work, we will focus on a two-phase flow system, and in the frame work of our generalized LB model, a new phase-field-based LB model is developed for incompressible and quasi-incompressible two-phase flows. A series of numerical simulations of some classic physical problems, including a spinodal decomposition, a static droplet, a layered Poiseuille flow, and a bubble rising flow under buoyancy, are performed to validate the developed model. Besides, some comparisons with previous quasi-incompressible and incompressible LB models are also carried out, and the results show that the present model is accurate in the study of two-phase flows. Finally, we also conduct a comparison between quasi-incompressible and incompressible LB models for two-phase flow problems, and find that in some cases, the proposed quasi-incompressible LB model performs better than incompressible LB models. (C) 2019 Elsevier Ltd. All rights reserved.
机译:为了解决不可压缩和几乎不可压缩的Navier-Stokes(N-S)方程,本文提出了在连续性方程中带有源项的广义格子玻尔兹曼(LB)模型。该模型可用于用连续性方程中的源项处理单相和两相流动问题。从这个广义模型中,我们不仅可以得到一些现有模型,而且可以派生出新模型。此外,对于导出的不可压缩模型,引入了改进的压力方案来计算压力,然后确保模型的准确性。在这项工作中,我们将重点放在两相流系统上,在我们的广义LB模型的框架中,针对不可压缩和准不可压缩的两相流开发了一种新的基于相场的LB模型。对一些经典物理问题进行了一系列数值模拟,包括旋节线分解,静态液滴,分层的泊瓦流和浮力下的气泡上升流,以验证所开发的模型。此外,还与以前的准不可压缩和不可压缩LB模型进行了一些比较,结果表明该模型在研究两相流方面是准确的。最后,我们还对两相流问题的准不可压缩LB模型进行了比较,发现在某些情况下,所提出的准不可压缩LB模型的性能优于不可压缩LB模型。 (C)2019 Elsevier Ltd.保留所有权利。

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