Soft coarse-grained particle model for particle-fluid systems  

作　　者：Yanhao Ye Ji Xu Wei Ge 

机构地区：[1]State Key Laboratory of Multiphase Complex Systems,Institute of Process Engineering,Chinese Academy of Sciences,Beijing,100190,China [2]School of Chemical Engineering,University of Chinese Academy of Sciences,Beijing,100049,China [3]Innovation Academy for Green Manufacture,Chinese Academy of Sciences,Beijing,100190,China

出　　处：《Particuology》2024年第1期178-193,共16页颗粒学报（英文版）

基　　金：supported by the National Key Research and Development Program of China(grant No.2020YFC1908805);the National Natural Science Foundation of China(grant Nos.22293024 and 22078330);the Youth Innovation Promotion Association,Chinese Academy of Sciences(grant No.2019050).

摘　　要：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.

关 键 词：Coarse-grain(CG) Discrete particle method(DPM) Fluidized bed Multi-scale simulation 

分 类 号：TQ021[化学工程]