Discrete Element Simulation (DEM) for Coupled Description of Material and Energy Flow Within Moving Granular Media

2005 ◽  
Author(s):  
Harald Kruggel-Emden ◽  
Siegmar Wirtz ◽  
Erdem Simsek ◽  
Viktor Scherer
Keyword(s):  
Heat Transport ◽  
Energy Flow ◽  
Granular Media ◽  
Element Model ◽  
Discrete Element ◽  
Waste Utilization ◽  
Discrete Element Modeling ◽  
Discrete Element Simulation ◽  
Element Simulation ◽  
Particle Assemblies

The discrete element method (DEM) can be used for modeling moving granular media in which heat and mass transport takes place. In this paper the concept of discrete element modeling with special emphasize on applicable force laws is introduced and the necessary equations for heat transport within particle assemblies are derived. Possible flow regimes in moving granular media are discussed. The developed discrete element model is applied to a new staged reforming process for biomass and waste utilization which employs a solid heat carrier. Results are presented for the flow regime and heat transport in substantial vessels of the process.

Modeling of Granular Flow and Combined Heat Transfer in Hoppers by the Discrete Element Method (DEM)

2005 ◽  
Vol 128 (3) ◽  
pp. 439-444 ◽  
Author(s):  
Harald Kruggel-Emden ◽  
Siegmar Wirtz ◽  
Erdem Simsek ◽  
Viktor Scherer
Keyword(s):  
Discrete Element Method ◽  
Heat Transport ◽  
Granular Flow ◽  
Granular Media ◽  
Element Model ◽  
Discrete Element ◽  
Waste Utilization ◽  
Discrete Element Modeling ◽  
Particle Assemblies ◽  
Element Method

The discrete element method can be used for modeling moving granular media in which heat and mass transport takes place. In this paper the concept of discrete element modeling with special emphasis on applicable force laws is introduced and the necessary equations for heat transport within particle assemblies are derived. Possible flow regimes in moving granular media are discussed. The developed discrete element model is applied to a new staged reforming process for biomass and waste utilization which employs a solid heat carrier. Results are presented for the flow regime and heat transport in substantial vessels of the process.

Parameter Determination of Discrete Element Model of Conditioned Soil by Genetic Neural Network

2010 ◽  
Vol 150-151 ◽  
pp. 27-31
Author(s):  
Li Wu ◽  
Tian Min Guan ◽  
Fu Zheng Qu ◽  
Shou Ju Li
Keyword(s):  
Neural Network ◽  
Triaxial Test ◽  
Element Model ◽  
Discrete Element ◽  
Triaxial Tests ◽  
Model Parameters ◽  
Discrete Element Model ◽  
Discrete Element Simulation ◽  
Element Simulation ◽  
Genetic Neural Network

The inversion method combining the genetic neural network and the discrete element simulation of triaxial tests is firstly described for determining the discrete element model parameters of the conditioned soil. The purpose is to make the error of the simulation curves and the laboratory curves of the triaxial test minimum. The solve approach is the parameters identification based on the genetic neural network. The network training sample is provided by the discrete element simulation. The input sample is the simulation curves of triaxial test, and the output sample is the model parameters. The laboratory triaxial test curves of the conditioned soil are used to determine its model parameters. The simulation curves calculated with the inversed parameters match the laboratory curves well, which illustrate that the discrete element model can accurately predict the deformation characteristics and flow patterns of conditioned soils.

Discrete element simulation of the behavior of bulk granular material during truck braking

2006 ◽  
Vol 23 (1) ◽  
pp. 4-15 ◽  
Author(s):  
Shu‐chun Zuo ◽  
Yong Xu ◽  
Quan‐wen Yang ◽  
Y.T. Feng
Keyword(s):  
Granular Material ◽  
Discrete Element ◽  
Discrete Element Simulation ◽  
Element Simulation
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