Benchmark computations for 3D two-phase flows: A coupled lattice Boltzmann-level set study

被引:14
作者
Safi, Mohammad Amin [1 ]
Prasianakis, Nikolaos [2 ]
Turek, Stefan [3 ]
机构
[1] Paul Scherrer Inst, Div Energy & Environm, Combust Res Lab, CH-8232 Villigen, Switzerland
[2] Paul Scherrer Inst, Nucl Energy & Safety Div, Waste Management Lab, CH-8232 Villigen, Switzerland
[3] TU Dortmund, Inst Appl Math LSIII, Vogelpothsweg 87, D-44221 Dortmund, Germany
关键词
3D rising bubble; Lattice Boltzmann method; Level set method; Droplet splashing; Binary droplet collision; GPGPU implementation; LARGE DENSITY RATIO; DROP IMPACT; MODEL; SIMULATION; INTERFACE; EFFICIENT; EQUATION; COALESCENCE; SEPARATION; MOTION;
D O I
10.1016/j.camwa.2016.12.014
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Following our previous work on the application of the diffuse interface coupled lattice Boltzmann-level set (LB-IS) approach to benchmark computations for 2D rising bubble simulations, this paper investigates the performance of the coupled scheme in 3D two-phase flows. In particular, the use of different lattice stencils, e.g., D3Q15, D3Q19 and D3Q27 is studied and the results for 3D rising bubble simulations are compared with regard to isotropy and accuracy against those obtained by finite element and finite difference solutions of the Navier-Stokes equations. It is shown that the method can eventually recover the benchmark solutions, provided that the interface region is aptly refined by the underlying lattice. Following the benchmark simulations, the application of the method in solving other numerically subtle problems, e.g., binary droplet collision and droplet splashing on wet surface under high Re and We numbers is presented. Moreover, implementations on general purpose GPUs are pursued, where the computations are adaptively refined around the critical parts of the flow. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:520 / 536
页数:17
相关论文
共 46 条
[1]  
Adelsberger J., 2014, 11 WORLD C COMP MECH, P5274
[2]   Single bubble rising dynamics for moderate Reynolds number using Lattice Boltzmann Method [J].
Amaya-Bower, Luz ;
Lee, Taehun .
COMPUTERS & FLUIDS, 2010, 39 (07) :1191-1207
[3]  
Ashgriz N, 2011, HANDBOOK OF ATOMIZATION AND SPRAYS: THEORY AND APPLICATIONS, P1, DOI 10.1007/978-1-4419-7264-4
[4]   COALESCENCE AND SEPARATION IN BINARY COLLISIONS OF LIQUID-DROPS [J].
ASHGRIZ, N ;
POO, JY .
JOURNAL OF FLUID MECHANICS, 1990, 221 :183-204
[5]   An efficient lattice Boltzmann multiphase model for 3D flows with large density ratios at high Reynolds numbers [J].
Banari, Amir ;
Janssen, Christian F. ;
Grilli, Stephan T. .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2014, 68 (12) :1819-1843
[6]   Efficient GPGPU implementation of a lattice Boltzmann model for multiphase flows with high density ratios [J].
Banari, Amir ;
Janssen, Christian ;
Grilli, Stephan T. ;
Krafczyk, Manfred .
COMPUTERS & FLUIDS, 2014, 93 :1-17
[7]   Simulation of bubble-bubble interaction using a lattice Boltzmann method [J].
Cheng, Ming ;
Hua, Jinsong ;
Lou, Jing .
COMPUTERS & FLUIDS, 2010, 39 (02) :260-270
[8]   A LB-based approach for adaptive flow simulations [J].
Crouse, B ;
Rank, E ;
Krafczyk, M ;
Tölke, J .
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2003, 17 (1-2) :109-112
[9]   Multiple-relaxation-time lattice Boltzmann models in three dimensions [J].
d'Humières, D ;
Ginzburg, I ;
Krafczyk, M ;
Lallemand, P ;
Luo, LS .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2002, 360 (1792) :437-451
[10]   Finite-difference lattice Boltzmann method with a block-structured adaptive-mesh-refinement technique [J].
Fakhari, Abbas ;
Lee, Taehun .
PHYSICAL REVIEW E, 2014, 89 (03)