共 59 条
Modeling granular material blending in a rotating drum using a finite element method and advection-diffusion equation multiscale model
被引:22
作者:
Liu, Yu
[1
]
Gonzalez, Marcial
[1
,2
]
Wassgren, Carl
[1
,3
]
机构:
[1] Purdue Univ, Sch Mech Engn, 585 Purdue Mall, W Lafayette, IN 47907 USA
[2] Purdue Univ, Ray W Herrick Labs, W Lafayette, IN 47907 USA
[3] Purdue Univ, Dept Ind & Phys Pharm, 575 Stadium Mall Dr, W Lafayette, IN 47907 USA
关键词:
blending;
granular material;
discrete element method;
finite element method;
multiscale model;
PARTICLE-SIZE SEGREGATION;
SELF-DIFFUSION;
TUMBLING MILLS;
BLADED MIXER;
SHEAR FLOWS;
SIMULATION;
PREDICTION;
DISCHARGE;
CYLINDER;
TUMBLERS;
D O I:
10.1002/aic.16179
中图分类号:
TQ [化学工业];
学科分类号:
0817 ;
摘要:
A multiscale model is presented for predicting the magnitude and rate of powder blending in a rotating drum blender. The model combines particle diffusion coefficient correlations from the literature with advective flow field information from blender finite element method simulations. The multiscale model predictions for overall mixing and local concentration variance closely match results from discrete element method (DEM) simulations for a rotating drum, but take only hours to compute as opposed to taking days of computation time for the DEM simulations. Parametric studies were performed using the multiscale model to investigate the influence of various parameters on mixing behavior. The multiscale model is expected to be more amenable to predicting mixing in complex geometries and scale more efficiently to industrial-scale blenders than DEM simulations or analytical solutions. (c) 2018 American Institute of Chemical Engineers AIChE J, 64: 3277-3292, 2018
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页码:3277 / 3292
页数:16
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