A mass-conserving lattice Boltzmann method for bubble behavior estimation
被引:12
|
作者:
Li, Xue
论文数: 0引用数: 0
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机构:
Chinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian 116023, Peoples R ChinaChinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian 116023, Peoples R China
Li, Xue
[1
]
Gao, Deyang
论文数: 0引用数: 0
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机构:
Chinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian 116023, Peoples R China
Univ Chinese Acad Sci, Beijing 100049, Peoples R ChinaChinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian 116023, Peoples R China
Gao, Deyang
[1
,2
]
Hou, Baolin
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h-index: 0
机构:
Chinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian 116023, Peoples R ChinaChinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian 116023, Peoples R China
Hou, Baolin
[1
]
Wang, Xiaodong
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机构:
Chinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian 116023, Peoples R ChinaChinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian 116023, Peoples R China
Wang, Xiaodong
[1
]
机构:
[1] Chinese Acad Sci, Dalian Inst Chem Phys, State Key Lab Catalysis, Dalian 116023, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
The Lattice Boltzmann Method (LBM) has been known as a promising approach for simulating the deformable moving interface of multiphase fluid phenomena due to its mesoscopic nature in organizing and executing distribution functions. However, LBMs are limited in simulating real gas-liquid bubbly flows, where the numerical inaccuracy and instability may significantly increase due to the high surface tension force and the large density ratio. In this paper, a mass-conserving LBM model is developed. The proposed model introduces a conserving correction step and an effective surface tension formula to improve physical accuracy, and utilizes a Multiple-Relaxation-Time (MRT) D3Q19 (three-dimensional and 19 discrete direction) operator to increase numerical stability. The proposed model was applied to estimate bubble behaviors, dimensionless parameter correlations, and drag force coefficient. The results were compared with analytical results, existing numerical results, and experimental data in literature and performed. The good agreement indicates that the proposed mass-conserving LBM model has the ability to predict bubble behaviors in the gas-liquid system. (C) 2018 Elsevier Ltd. All rights reserved.
机构:
Sheffield Hallam Univ, Mat Res Inst, Sheffield S1 1WB, S Yorkshire, EnglandSheffield Hallam Univ, Mat Res Inst, Sheffield S1 1WB, S Yorkshire, England
Hollis, A.
Halliday, I.
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机构:
Sheffield Hallam Univ, Mat Res Inst, Sheffield S1 1WB, S Yorkshire, EnglandSheffield Hallam Univ, Mat Res Inst, Sheffield S1 1WB, S Yorkshire, England
Halliday, I.
Care, C. M.
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h-index: 0
机构:
Sheffield Hallam Univ, Mat Res Inst, Sheffield S1 1WB, S Yorkshire, EnglandSheffield Hallam Univ, Mat Res Inst, Sheffield S1 1WB, S Yorkshire, England
Care, C. M.
[J].
JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL,
2006,
39
(33):
: 10589
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10601