Coupling the Multi Phase-Field Method with an Electro-Thermal Solver to Simulate Phase Change Mechanisms in Ge-rich GST based PCM

2020 ◽  
Author(s):  
Raphael Bayle ◽  
Olga Cueto ◽  
Serge Blonkowski ◽  
Thomas Philippe ◽  
Herve Henry ◽  
...  
Keyword(s):  
Phase Change ◽  
Phase Field ◽  
Field Method ◽  
Phase Field Method ◽  
Change Mechanisms ◽  
Multi Phase

Development of a Phase-field Method for Phase Change Simulations Using a Conservative Allen-cahn Equation

2021 ◽  
Author(s):  
Akinori Tamura ◽  
Kenichi Katono
Keyword(s):  
Phase Change ◽  
Phase Field ◽  
Computational Efficiency ◽  
Power Plants ◽  
Field Method ◽  
Industrial Applications ◽  
Phase Field Method ◽  
Benchmark Problems ◽  
Two Phase ◽  
Cahn Equation

Abstract 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 performance and safety of nuclear power plants. For this purpose, we developed a phase change simulation method based on the phase field method (PFM). 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.

214 Topology optimization of microstructure applying a multi-phase field method

2015 ◽  
Vol 2015.28 (0) ◽  
pp. _214-1_-_214-2_
Author(s):  
Yoshiki Kamo ◽  
Junji Kato ◽  
Tomohiro Takaki ◽  
Takashi Kyoya
Keyword(s):  
Topology Optimization ◽  
Phase Field ◽  
Field Method ◽  
Phase Field Method ◽  
Multi Phase

Multi-phase-field Method for Dynamic Domain Partitioning of AMR Applications

2018 ◽  
Vol 2018.31 (0) ◽  
pp. 213
Author(s):  
Seiya WATANABE ◽  
Takayuki AOKI ◽  
Shintaro MATSUSHITA ◽  
Christian Conti ◽  
Tomohiro TAKAKI
Keyword(s):  
Phase Field ◽  
Field Method ◽  
Phase Field Method ◽  
Domain Partitioning ◽  
Multi Phase ◽  
Dynamic Domain
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