The influence of DEM simulation parameters on the particle behaviour in a V-mixer

被引:156
作者
Kuo, HP
Knight, PC
Parker, DJ
Tsuji, Y
Adams, MJ
Seville, JPK [1 ]
机构
[1] Univ Birmingham, Dept Chem Engn, Birmingham B15 2TT, W Midlands, England
[2] Univ Birmingham, Sch Phys & Astron, Positron Imaging Ctr, Birmingham B15 2TT, W Midlands, England
[3] Osaka Univ, Dept Engn Mech, Suita, Osaka 5650871, Japan
[4] Unilever Res, Port Sunlight Lab, Wirral CH63 3JW, Merseyside, England
关键词
granular material; mixing; powder technology; simulation; solid mechanics; V-mixer;
D O I
10.1016/S0009-2509(02)00086-6
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Results are described of simulations based on the discrete element method (DEM) using a code developed by Tsuji, Kawaguchi, and Tanaka (Discrete particles simulation of 2-dimensional fluidized bed. Powder Technology 77 (1993) 79-87). The mechanical interactions between particles and also between particles and the walls in granular flows are modelled by linear springs, dash-pots and friction sliders. The simulation parameters are the restitution coefficient, normal stiffness, friction coefficient between particles and between particles and the walls, and two ratios which relate the normal and tangential stiffness and damping coefficients. Their influence on particle motion in a V-mixer has been evaluated and compared with radioactive tracer measurements of particle motion. A number of quantitative methods for comparing DEM and experimental data were developed. Given the simplified nature of the modelled interactions, the agreement between the predicted and measured data is remarkably close for restitution coefficient values of 0.7 and 0.9, internal friction coefficient values of 0.3 and 0.6 and wall friction coefficient values of 0 and 0.3. The internal and wall friction coefficients are important in determining the initiation of particle movement, while the value of the restitution coefficient has a larger influence on particles in a dynamic state. The simulation of the fully elastic case (coefficient of restitution = 1.0) with zero internal and wall friction, gives results that are very different from the experiment data. 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:3621 / 3638
页数:18
相关论文
共 30 条
[1]   Quantitative characterization of mixing of dry powders in V-blenders [J].
Brone, D ;
Alexander, A ;
Muzzio, FJ .
AICHE JOURNAL, 1998, 44 (02) :271-278
[2]   How well do discrete element granular flow models capture the essentials of mixing processes? [J].
Cleary, PW ;
Metcalfe, G ;
Liffman, K .
APPLIED MATHEMATICAL MODELLING, 1998, 22 (12) :995-1008
[3]   DISCRETE NUMERICAL-MODEL FOR GRANULAR ASSEMBLIES [J].
CUNDALL, PA ;
STRACK, ODL .
GEOTECHNIQUE, 1979, 29 (01) :47-65
[4]   TYPES OF GAS FLUIDIZATION [J].
GELDART, D .
POWDER TECHNOLOGY, 1973, 7 (05) :285-292
[5]   The measurement of particle rebound characteristics [J].
Gorham, DA ;
Kharaz, AH .
POWDER TECHNOLOGY, 2000, 112 (03) :193-202
[6]   Discrete particle simulation of bubble and slug formation in a two-dimensional gas-fluidised bed: A hard-sphere approach [J].
Hoomans, BPB ;
Kuipers, JAM ;
Briels, WJ ;
vanSwaaij, WPM .
CHEMICAL ENGINEERING SCIENCE, 1996, 51 (01) :99-118
[7]  
HORIO M, 1998, WORLD C PART TECHN, V3
[8]  
INOUE I, 1969, KOGAKU KOGAKU, V33, P286
[9]  
Johnson K. L., 1987, CONTACT MECH
[10]   Quasi-three-dimensional numerical simulation of spouted beds in cylinder [J].
Kawaguchi, T ;
Sakamoto, M ;
Tanaka, T ;
Tsuji, Y .
POWDER TECHNOLOGY, 2000, 109 (1-3) :3-12