Direct numerical simulation;
Front tracking;
Local front reconstruction method;
Phase transition;
Sharp interface approach;
DIRECT NUMERICAL-SIMULATION;
FLUID BASED METHOD;
HEAT-TRANSFER;
LEVEL-SET;
FRONT TRACKING;
BUBBLE-GROWTH;
FLOW;
VOLUME;
COMPUTATIONS;
DYNAMICS;
D O I:
10.1016/j.ijmultiphaseflow.2019.103093
中图分类号:
O3 [力学];
学科分类号:
08 ;
0801 ;
摘要:
In this study, the Local Front Reconstruction Method (LFRM) is extended to allow for the direct numerical simulation of flows with phase transition. The LFRM is a hybrid front tracking method without connectivity, which can easily handle complex topological changes. The expansion due to phase change is incorporated as a non-zero divergence condition at the interface. The energy equation is treated with two different approaches: smooth interface approach and sharp interface approach. The smooth interface approach uses a one fluid formulation to solve the energy equation with an interfacial source term accounting for phase change. This interfacial source term enforces the saturation temperature at the interface. However, in the sharp interface approach, the thermal properties are not volume-averaged near the interface and the saturation temperature is imposed as a boundary condition at the interface. A detailed mathematical formulation and numerical implementation pertaining to both approaches is presented. Both implementations are verified using 1D and 3D test cases and produce a good match with analytical solutions. A comparison of results highlights certain advantages of the sharp interface approach over the smooth interface approach such as better accuracy and convergence rate, reduced fluctuations in the velocity field and a physically bounded temperature field near the interface. Finally, both approaches are validated with a 3D simulation of the rise and growth of a vapor bubble in a superheated liquid under gravity, where a good agreement with experimental data is observed for the bubble growth rate. (C) 2019 The Authors. Published by Elsevier Ltd.
机构:
China Acad Aerosp Aerodynam, Beijing 100074, Peoples R ChinaChina Acad Aerosp Aerodynam, Beijing 100074, Peoples R China
Xu, Liang
Liu, Tiegang
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机构:
Beihang Univ, LMIB, Beijing 100191, Peoples R China
Beihang Univ, Sch Math Sci, Beijing 100191, Peoples R ChinaChina Acad Aerosp Aerodynam, Beijing 100074, Peoples R China
机构:
Penn State Univ, Dept Math, University Pk, PA 16802 USAPenn State Univ, Dept Math, University Pk, PA 16802 USA
Berlyand, Leonid
Potomkin, Mykhailo
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h-index: 0
机构:
Penn State Univ, Dept Math, University Pk, PA 16802 USAPenn State Univ, Dept Math, University Pk, PA 16802 USA
Potomkin, Mykhailo
Rybalko, Volodymyr
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h-index: 0
机构:
Natl Acad Sci Ukraine, Math Div, B Verkin Inst Low Temp Phys & Engn, 47 Nauky Ave, UA-61103 Kharkov, UkrainePenn State Univ, Dept Math, University Pk, PA 16802 USA
机构:
Univ Paris Saclay, Lab EM2C UPR 288, CNRS, CentraleSupelec, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France
Federat Math CentraleSupelec, CNRS, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, FranceUniv Paris Saclay, Lab EM2C UPR 288, CNRS, CentraleSupelec, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France