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
引用
收藏
页码:3277 / 3292
页数:16
相关论文
共 59 条
[1]   Determination of discrete element model parameters required for soil tillage [J].
Asaf, Z. ;
Rubinstein, D. ;
Shmulevich, I. .
SOIL & TILLAGE RESEARCH, 2007, 92 (1-2) :227-242
[2]   FEM simulation of particle flow and convective mixing in a cylindrical bladed mixer [J].
Bai, L. ;
Zheng, Q. J. ;
Yu, A. B. .
POWDER TECHNOLOGY, 2017, 313 :175-183
[3]   Partial regularisation of the incompressible μ(I)-rheologyfor granular flow [J].
Barker, T. ;
Gray, J. M. N. T. .
JOURNAL OF FLUID MECHANICS, 2017, 828 :5-32
[4]   Contact parameter estimation for DEM simulation of iron ore pellet handling [J].
Barrios, Gabriel K. P. ;
de Carvalho, Rodrigo M. ;
Kwade, Arno ;
Tavares, Luis Marcelo .
POWDER TECHNOLOGY, 2013, 248 :84-93
[5]   Prediction of segregation in funnel and mass flow discharge [J].
Bertuola, Davide ;
Volpato, Silvia ;
Canu, Paolo ;
Santomaso, Andrea C. .
CHEMICAL ENGINEERING SCIENCE, 2016, 150 :16-25
[6]   Boundary layer modeling of granular flow in the transverse plane of a partially filled rotating cylinder [J].
Boateng, AA .
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 1998, 24 (03) :499-521
[7]   Nonlocal Rheology of Granular Flows across Yield Conditions [J].
Bouzid, Mehdi ;
Trulsson, Martin ;
Claudin, Philippe ;
Clement, Eric ;
Andreotti, Bruno .
PHYSICAL REVIEW LETTERS, 2013, 111 (23)
[8]   PARTICLE MIXING AND SEGREGATION IN FAILURE ZONES - THEORY AND EXPERIMENT [J].
BRIDGWATER, J ;
FOO, WS ;
STEPHENS, DJ .
POWDER TECHNOLOGY, 1985, 41 (02) :147-158
[9]   Self-diffusion in granular shear flows [J].
Campbell, CS .
JOURNAL OF FLUID MECHANICS, 1997, 348 :85-101
[10]   Flow and Mixing of Cohesive Particles in a Vertical Bladed Mixer [J].
Chandratilleke, Rohana ;
Yu, Aibing ;
Bridgwater, John ;
Shinohara, Kunio .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2014, 53 (10) :4119-4130