A FRACTIONAL-STEP LATTICE BOLTZMANN MODEL FOR SOLIDLIQUID PHASE CHANGE

Dong Li
State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an, 710049, China

Ming-Jia Li
Department of Earth and Environmental Engineering, Columbia University, New York, NY 10027, USA; Key Laboratory of Thermo-Fluid Science and Engineering of Ministry of Education, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China

Ya-Ling He
Key Laboratory of Thermo-fluid Science and Engineering, Ministry of Education, School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China

Wen-Quan Tao
State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science & Engineering, Tongji University, Shanghai 200092, China; Key Laboratory of Thermo-Fluid Science and Engineering of MOE, School of Energy and Power Engineering, Xian Jiaotong University, Xian 710049, China

DOI: 10.1615/IHTC16.cms.022244
pages 1891-1898

KEY WORDS: Computational methods, Convection, Solid-liquid phase change, Lattice Boltzmann method, Internal memory cost

Abstract

Solid-liquid phase change is a common physical phenomenon in our life. Moreover, it is also a hot research field, which involves the latent heat storage (used in the industrial waste heat recovery system, the building energy saving, and the solar power system), the crystallization of crystals, the solidification processing in metals and alloys, and so on. The research on the solid-liquid phase change has never been hung. Besides experiment, numerical methods are another study tools. The lattice Boltzmann (LB) method has drawn much attention in the field of solid-liquid phase change owing to its natural parallel and transient characteristic. Compared with the CPU parallel, GPU parallel is more suitable for some scientific calculations. Unfortunately, the internal memory of GPU is much less than that of CPU, which limit the number of the gird size, especially for three-dimension simulation. In order to reduce the internal memory demand, we propose a fractional-step LB method for solidliquid phase change. Compared with the general LB model, the present one needs less internal memory with the same mesh number. The analytical solutions and published numerical solutions are compared with the present results for verification. Results shows that the present model is able to simulate solid-liquid phase change.