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Soft coarse-grained particle model for particle-fluid systems

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By modeling a group of neighboring real particles as a single coarse-grained particle(CGP),discrete particle method(DPM)is now capable of simulating industrial-scale particle-fluid systems.However,a systematic approach to determine the CGP properties and develop their interaction models is still lacking,which casts uncertainty on the predictivity of the method.In this study,collisions between predefined particle groups are analyzed to construct kernel functions for modeling the CGPs and then the model parameters are determined by equating the statistical properties of the CGPs and the real particles in the physical process studied.This approach is implemented for homogeneous cooling of granular gas,then demonstrated effective in simulating experimental fluidized beds.

Coarse-grain(CG)Discrete particle method(DPM)Fluidized bedMulti-scale simulation

Yanhao Ye、Ji Xu、Wei Ge

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State Key Laboratory of Multiphase Complex Systems,Institute of Process Engineering,Chinese Academy of Sciences,Beijing,100190,China

School of Chemical Engineering,University of Chinese Academy of Sciences,Beijing,100049,China

Innovation Academy for Green Manufacture,Chinese Academy of Sciences,Beijing,100190,China

National Key Research and Development Program of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaYouth Innovation Promotion Association,Chinese Academy of Sciences

2020YFC190880522293024220783302019050

2024

10.1016/j.partic.2023.06.005

颗粒学报(英文版)
中国颗粒学会　中国科学院过程工程研究所

颗粒学报(英文版)

CSTPCD
影响因子：0.632
ISSN：1674-2001
年,卷(期)：2024.84(1)
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