4.5 Article

Migrating multi-block lattice Boltzmann model for immiscible mixtures: 3D algorithm development and validation

期刊

COMPUTERS & FLUIDS
卷 39, 期 8, 页码 1284-1295

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compfluid.2010.03.011

关键词

Multi-block; Grid refinement; Multi-component lattice Boltzmann method; Multi-phase flow; Buoyant bubbles; Density contrast

资金

  1. Ministry for Health, Welfare and Family Affairs, Republic of Korea [A085136]
  2. National Research Foundation of Korea [과C6A1606] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

The lattice Boltzmann method (LBM) has emerged as a powerful numerical fluid solver especially in the areas of multi-component and multi-phase mixtures. However the LBM uses the particle velocity for the determination of the model time step required by the Courant-Friedrichs-Lewy (CFL) stability condition. This degrades the LBM efficiency, when compared with standard CFD solvers which use instead the macroscopic velocity for the CFL requirements. This paper discusses the development and validation of a 3D migrating multi-block model aiming at the acceleration of the LBM solution. The proposed algorithm is especially applicable to the Gunstensen multi-component model, in which a fine grid block engulfs the fluid-fluid interface and migrates with it. This increases the efficiency of the LBM since less iteration steps are required in areas of marginal interest, and it enables a better interface resolution because the fluid interface is always covered with finer grid. The method was demonstrated by simulating the case of a 3D rising bubble in infinite medium, in which the model results for the bubble terminal velocity were in good agreement with a semi-analytical solution, and the produced shapes fitted very well an experimental shape regime map. (C) 2010 Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据