作者: Yu Liu , Marcial Gonzalez , Carl Wassgren
DOI: 10.1016/J.POWTEC.2019.01.086
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摘要: Abstract A two-dimensional, transient, multi-scale modeling approach is presented for predicting the magnitude and rate of percolation segregation binary mixtures granular material in a rotating drum conical hopper. The model utilizes finite element method simulations to determine bulk-level velocity field, which then combined with particle-level diffusion correlations using advection-diffusion-segregation equation. utility this demonstrated by patterns during discharge hoppers different geometries. exhibits good quantitative accuracy DEM experimental data reported literature cohesionless materials. Moreover, since numerical does not directly individual particles, it expected scale well systems industrial scale.