Developing robust numerical models of surface tension dominated dynamic multiphase systems is an ongoing challenge, especially in scenarios with large density and viscosity ratios. This is critical to the design and understanding of various physical and engineering systems, such as three-phase fluidized beds, fuel injectors, and drug delivery schemes. Much of the computational work in surface tension dominated multiphase flows has employed the continuum surface force method (CSF) of Brackbill et al. (1992), which recasts surface tension from a surface force to a volumetric force that can be imposed in the vicinity of an interface. The CSF method produces accurate results across a variety of systems, however it relies on the identification of surface normals, which can be unreliable under certain conditions. Alternative methods of simulating surface tension have been proposed. This work uses smoothed particle hydrodynamics (SPH), a particle based computational fluid dynamics method, as the framework for exploring the advantages and disadvantages of the CSF method in comparison to a pairwise forces (PF) method proposed by Tartakovsky and Panchenko (2016). Dynamic systems are modeled and the results are compared to existing test cases from the literature and to analytic solutions derived from fundamental normal mode behavior of bubbles and droplets. Initial studies of droplet-droplet collisions, a physical system for which the PF method is more stable and physically appropriate than the CSF method, are described. (C) 2020 Elsevier Ltd. All rights reserved.
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Department of the Computer Science, Wuzhou University, Wuzhou, Guangxi, 543002, No. 82Department of the Computer Science, Wuzhou University, Wuzhou, Guangxi, 543002, No. 82
机构:
Univ Sci & Technol China, Dept Modern Mech, Hefei 230027, Anhui, Peoples R China
Inst Appl Phys & Computat Math, Beijing 100094, Peoples R China
China Acad Engn Phys, Grad Sch, Beijing 100088, Peoples R ChinaUniv Sci & Technol China, Dept Modern Mech, Hefei 230027, Anhui, Peoples R China
Liu, Wen-Bin
Ma, Dong-Jun
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Inst Appl Phys & Computat Math, Beijing 100094, Peoples R ChinaUniv Sci & Technol China, Dept Modern Mech, Hefei 230027, Anhui, Peoples R China
Ma, Dong-Jun
Zhang, Ming-Yu
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Inst Appl Phys & Computat Math, Beijing 100094, Peoples R ChinaUniv Sci & Technol China, Dept Modern Mech, Hefei 230027, Anhui, Peoples R China
Zhang, Ming-Yu
He, An-Min
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Inst Appl Phys & Computat Math, Beijing 100094, Peoples R ChinaUniv Sci & Technol China, Dept Modern Mech, Hefei 230027, Anhui, Peoples R China
He, An-Min
Liu, Nan-Sheng
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Univ Sci & Technol China, Dept Modern Mech, Hefei 230027, Anhui, Peoples R ChinaUniv Sci & Technol China, Dept Modern Mech, Hefei 230027, Anhui, Peoples R China
Liu, Nan-Sheng
Wang, Pei
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Inst Appl Phys & Computat Math, Beijing 100094, Peoples R China
Peking Univ, Ctr Appl Phys & Technol, Beijing 100871, Peoples R ChinaUniv Sci & Technol China, Dept Modern Mech, Hefei 230027, Anhui, Peoples R China