DIRECT NUMERICAL-SIMULATION;
CONTACT-LINE DYNAMICS;
LARGE DENSITY;
LEVEL SET;
FLOWS;
FILM;
BUBBLE;
VOLUME;
COMPUTATION;
GROWTH;
D O I:
10.1115/1.4050209
中图分类号:
TL [原子能技术];
O571 [原子核物理学];
学科分类号:
0827 ;
082701 ;
摘要:
Two-phase flows including a phase change such as liquid-vapor flows play an important role in many industrial applications. A deeper understanding of the phase change phenomena is required to improve the performance and safety of nuclear power plants. For this purpose, we developed a phase change simulation method based on the phase-field method (PFM). The low computational efficiency of the conventional PFM based on the Cahn-Hilliard equation is an obstacle in practical simulations. To resolve this problem, we presented a new PFM based on the conservative Allen-Cahn equation including a phase change model. The wettability also needs to be considered in the phase change simulation. When we apply the conventional wetting boundary condition to the conservative Allen-Cahn equation, there is a problem that the mass of each phase is not conserved on the boundary. To resolve this issue, we developed the mass correction method which enables mass conservation in the wetting boundary. The proposed PFM was validated in benchmark problems. The results agreed well with the theoretical solution and other simulation results, and we confirmed that this PFM is applicable to the two-phase flow simulation including the phase change. We also investigated the computational efficiency of the PFM. In a comparison with the conventional PFM, we found that our proposed PFM was more than 100 times faster. Since computational efficiency is an important factor in practical simulations, the proposed PFM will be preferable in many industrial simulations.
机构:
Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermo Fluid & Sci & Engn, Xian 710049, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermo Fluid & Sci & Engn, Xian 710049, Peoples R China
Wang, Kai
Xia, Yan-Chen
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机构:
Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermo Fluid & Sci & Engn, Xian 710049, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermo Fluid & Sci & Engn, Xian 710049, Peoples R China
Xia, Yan-Chen
Li, Zeng-Yao
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机构:
Xi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermo Fluid & Sci & Engn, Xian 710049, Peoples R ChinaXi An Jiao Tong Univ, Sch Energy & Power Engn, Minist Educ, Key Lab Thermo Fluid & Sci & Engn, Xian 710049, Peoples R China
机构:
Sun Yat Sen Univ, Sch Comp Sci & Engn, Guangzhou 510275, Peoples R ChinaSun Yat Sen Univ, Sch Comp Sci & Engn, Guangzhou 510275, Peoples R China
Wu, Jingwen
Tan, Zhijun
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机构:
Sun Yat Sen Univ, Sch Comp Sci & Engn, Guangzhou 510275, Peoples R China
Sun Yat Sen Univ, Guangdong Prov Key Lab Computat Sci, Guangzhou 510275, Peoples R ChinaSun Yat Sen Univ, Sch Comp Sci & Engn, Guangzhou 510275, Peoples R China
机构:
Beijing Computat Sci Res Ctr, CSRC, Beijing 100193, Peoples R ChinaBeijing Computat Sci Res Ctr, CSRC, Beijing 100193, Peoples R China
Wang, Lin
Yu, Haijun
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h-index: 0
机构:
Acad Math & Syst Sci, Inst Computat Math & Sci Engn Comp, NCMIS & LSEC, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R ChinaBeijing Computat Sci Res Ctr, CSRC, Beijing 100193, Peoples R China