期刊
POWDER TECHNOLOGY
卷 404, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.powtec.2022.117501
关键词
Coarse-graining model; Coarse-graining ratio; Scaling law; MP-PIC method
资金
- National Natural Science Foundation of China [22161142006, 51876212, 21625605, 91834302, 21821005]
- National Key R&D Program of China [2017YFB0602700]
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of ences [MPCS-2021-A-06]
- Strategic Priority Research Program of Chinese Academy of Sciences [XDA17010202]
- Innovation Academy for Green Manufacture, Chinese Academy of Sciences [IAGM-2019-A13]
- Pakistan Science Foundation (PSF) [PSF-NSFC-IV/Eng/C-PIEAS (25)]
Coarse-graining is a widely used method in gas-solid fluidization simulations, but the consensus on its key parameter, the coarse graining ratio, and its corresponding scaling law is still lacking. This study proposes a scaling law based on similarity analysis and applies it to the multi-phase particle-in-cell (MP-PIC) method. The approach is validated through simulations of two bubbling fluidized beds, which show improved accuracy of solids volume fraction and velocity distributions over a wide range of coarse-graining ratios.
Coarse-graining is widely used in simulations of gas-solid fluidization. However, as a key parameter, the coarse graining ratio, and its relevant scaling law is still far from reaching a consensus. In this work, a scaling law is developed based on a similarity analysis, and then it is used to scale the multi-phase particle-in-cell (MP-PIC) method. The approach is then validated by simulating two bubbling fluidized beds. The simulation results show that scaled MP-PIC reduces the errors of solids volume fraction and velocity distributions over a wide range of coarse-graining ratios for simulated conditions. In future, a scaling law with consideration of the heterogeneity inside a parcel or numerical particle will be developed which is expected to further improve the performance of coarse-grained modeling in simulation of fluidized beds. (c) 2022 Published by Elsevier B.V.
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