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A granular Discrete Element Method for arbitrary convex particle shapes: Method and packing generation
被引:38
|作者:
Seelen, L. J. H.
[1
]
Padding, J. T.
[2
]
Kuipers, J. A. M.
[1
]
机构:
[1] Eindhoven Univ Technol, Dept Chem Engn & Chem, Multiphase Reactors Grp, POB 513, NL-5600 MB Eindhoven, Netherlands
[2] Delft Univ Technol, Proc & Energy Dept, Intensified React & Separat Syst, Leeghwaterstr 39, NL-2628 CB Delft, Netherlands
基金:
欧洲研究理事会;
关键词:
Discrete element method;
Non-spherical particle;
Contact detection;
Packing;
Solid volume fraction;
Orientational ordering;
INTEGRATION SCHEME;
CONTACT DETECTION;
NUMERICAL-MODEL;
FORCE MODELS;
SIMULATION;
DEM;
SPHERE;
ALGORITHM;
BEHAVIOR;
POROSITY;
D O I:
10.1016/j.ces.2018.05.034
中图分类号:
TQ [化学工业];
学科分类号:
0817 ;
摘要:
A novel granular discrete element method (DEM) is introduced to simulate mixtures of particles of any convex shape. To quickly identify pairs of particles in contact, the method first uses a broad-phase and a narrow-phase contact detection strategy. After this, a contact resolution phase finds the contact normal and penetration depth. A new algorithm is introduced to effectively locate the contact point in the geometric center of flat faces in partial contact. This is important for a correct evaluation of the torque on each particle, leading to a much higher stability of stacks of particles than with previous algorithms. The granular DEM is used to generate random packings in a cylindrical vessel. The simulated shapes include non-spherical particles with different aspect ratio cuboids, cylinders and ellipsoids. More complex polyhedral shapes representing sand and woodchip particles are also used. The latter particles all have a unique shape and size, resembling real granular particle packings. All packings are analyzed extensively by investigating positional and orientational ordering. (C) 2018 Published by Elsevier Ltd.
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页码:84 / 101
页数:18
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