An improved axisymmetric interfacial lattice Boltzmann flux solver for large-density-ratio multiphase flows

被引:0
|
作者
Yang, Liuming [1 ,2 ]
Yang, Xinmeng [1 ]
Yang, Yunfei [3 ]
Hou, Guoxiang [4 ]
Wang, Yan [5 ]
机构
[1] Wuhan Univ Technol, Cruise & Yacht Res Ctr, Green & Smart River Sea Going Ship, Wuhan 430063, Peoples R China
[2] Wuhan Univ Technol, Sanya Sci & Educ Innovat Pk, Sanya 572025, Peoples R China
[3] CSSC, Res & Dev Inst 710, Yicang 443003, Peoples R China
[4] Huazhong Univ Sci & Technol, Sch Naval Architecture & Ocean Engn, Wuhan 430074, Peoples R China
[5] Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Nanjing 210016, Peoples R China
基金
中国国家自然科学基金;
关键词
INCOMPRESSIBLE 2-PHASE FLOWS; SIMULATION; MODEL; DROP; EQUATIONS; IMPACT;
D O I
10.1063/5.0192207
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In this paper, an improved axisymmetric interfacial lattice Boltzmann flux solver abandoning the previous predictor-corrector scheme is proposed. Unlike the previous model starting from the two-dimensional standard lattice Boltzmann method (LBM), the present method is developed using the axisymmetric LBM, which directly incorporates the axisymmetric effects into the distribution functions. As a result, the proposed solver does not need the corrector step involving complicated space derivatives. It makes this method simpler and more computationally efficient. In the present solver, the resultant governing equation is globally resolved by the finite volume method, while the fluxes are reconstructed by local application of the axisymmetric LBM. Therefore, the inconsistency between the local reconstruction and the global governing equation can be eliminated because the global equation can be strictly derived from the axisymmetric LBM, which holds stronger physical basis than the previous method. Numerical experiments about the interface capturing and the multiphase flows are conducted to test the proposed model. Results show that the present method is superior to the fractional step solver in terms of the accuracy, stability, and computational efficiency. In addition, this solver has the capacity of simulating large-density-ratio and complex interfacial change.
引用
收藏
页数:20
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