Discrete element method modeling of bi-convex pharmaceutical tablets: Contact detection algorithms and validation

2012 ◽  
Vol 69 (1) ◽  
pp. 587-601 ◽  
Author(s):  
Madhusudhan Kodam ◽  
Jennifer Curtis ◽  
Bruno Hancock ◽  
Carl Wassgren
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Contact Detection ◽  
Pharmaceutical Tablets ◽  
Detection Algorithms ◽  
Element Method

Cylindrical object contact detection for use in discrete element method simulations. Part I – Contact detection algorithms

2010 ◽  
Vol 65 (22) ◽  
pp. 5852-5862 ◽  
Author(s):  
Madhusudhan Kodam ◽  
Rahul Bharadwaj ◽  
Jennifer Curtis ◽  
Bruno Hancock ◽  
Carl Wassgren
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Contact Detection ◽  
Detection Algorithms ◽  
Cylindrical Object ◽  
Element Method

scholarly journals Modeling of Interior Ballistic Gas-Solid Flow Using a Coupled Computational Fluid Dynamics-Discrete Element Method

2013 ◽  
Vol 80 (3) ◽  
Author(s):  
Cheng Cheng ◽  
Xiaobing Zhang
Keyword(s):  
Discrete Element Method ◽  
Gas Phase ◽  
Two Phase Flow ◽  
Discrete Element ◽  
Particle Collision ◽  
Contact Detection ◽  
Reconstruction Method ◽  
Phase Flow ◽  
Two Phase ◽  
Element Method

In conventional models for two-phase reactive flow of interior ballistic, the dynamic collision phenomenon of particles is neglected or empirically simplified. However, the particle collision between particles may play an important role in dilute two-phase flow because the distribution of particles is extremely nonuniform. The collision force may be one of the key factors to influence the particle movement. This paper presents the CFD-DEM approach for simulation of interior ballistic two-phase flow considering the dynamic collision process. The gas phase is treated as a Eulerian continuum and described by a computational fluid dynamic method (CFD). The solid phase is modeled by discrete element method (DEM) using a soft sphere approach for the particle collision dynamic. The model takes into account grain combustion, particle-particle collisions, particle-wall collisions, interphase drag and heat transfer between gas and solid phases. The continuous gas phase equations are discretized in finite volume form and solved by the AUSM+-up scheme with the higher order accurate reconstruction method. Translational and rotational motions of discrete particles are solved by explicit time integrations. The direct mapping contact detection algorithm is used. The multigrid method is applied in the void fraction calculation, the contact detection procedure, and CFD solving procedure. Several verification tests demonstrate the accuracy and reliability of this approach. The simulation of an experimental igniter device in open air shows good agreement between the model and experimental measurements. This paper has implications for improving the ability to capture the complex physics phenomena of two-phase flow during the interior ballistic cycle and to predict dynamic collision phenomena at the individual particle scale.

Cell optimization for fast contact detection in the discrete element method algorithm

2007 ◽  
Vol 18 (4) ◽  
pp. 441-453 ◽  
Author(s):  
Hiroshi Mio ◽  
Atsuko Shimosaka ◽  
Yoshiyuki Shirakawa ◽  
Jusuke Hidaka
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Contact Detection ◽  
Element Method

Cylindrical object contact detection for use in discrete element method simulations, Part II—Experimental validation

2010 ◽  
Vol 65 (22) ◽  
pp. 5863-5871 ◽  
Author(s):  
Madhusudhan Kodam ◽  
Rahul Bharadwaj ◽  
Jennifer Curtis ◽  
Bruno Hancock ◽  
Carl Wassgren
Keyword(s):  
Discrete Element Method ◽  
Experimental Validation ◽  
Discrete Element ◽  
Contact Detection ◽  
Cylindrical Object ◽  
Element Method

Optimum Cell Size for Contact Detection in the Algorithm of the Discrete Element Method

2005 ◽  
Vol 38 (12) ◽  
pp. 969-975 ◽  
Author(s):  
Hiroshi Mio ◽  
Atsuko Shimosaka ◽  
Yoshiyuki Shirakawa ◽  
Jusuke Hidaka
Keyword(s):  
Discrete Element Method ◽  
Cell Size ◽  
Discrete Element ◽  
Contact Detection ◽  
Element Method

scholarly journals Numerical comparison of some contact detection algorithms

2017 ◽  
Vol 34 (3) ◽  
pp. 832-851 ◽  
Author(s):  
Guillermo Gonzalo Schiava D'Albano ◽  
Tomas Lukas ◽  
Fang Su ◽  
Theodosios Korakianitis ◽  
Ante Munjiza
Keyword(s):  
Discrete Element Method ◽  
Detailed Comparison ◽  
Discrete Element ◽  
Discontinuous Deformation Analysis ◽  
Deformation Analysis ◽  
Contact Detection ◽  
Numerical Comparison ◽  
Content Type ◽  
Discrete Element Simulations ◽  
Element Method

Purpose Contact interaction and contact detection (CD) remain key components of any discontinua simulations. The methods of discontinua include combined finite-discrete element method (FDEM), discrete element method, molecular dynamics, etc. In recent years, a number of CD algorithms have been developed, such as Munjiza–Rougier (MR), Munjiza–Rougier–Schiava (MR-S), Munjiza-No Binary Search (NBS), Balanced Binary Tree Schiava (BBTS), 3D Discontinuous Deformation Analysis and many others. This work aims to conduct a numerical comparison of certain algorithms often used in FDEM for bodies of the same size. These include MR, MR-S, NBS and BBTS algorithms. Design/methodology/approach Computational simulations were used in this work. Findings In discrete element simulations where particles are introduced randomly or in which the relative position between particles is constantly changing, the MR and MR-S algorithms present an advantage in terms of CD times. Originality/value This paper presents a detailed comparison between CD algorithms. The comparisons are performed for problem cases with different lattices and distributions of particles in discrete element simulations. The comparison includes algorithms that have not been evaluated between them. Also, two new algorithms are presented in the paper, MR-S and BBTS.

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