scholarly journals The Selection of Parameters in Debris Flow Modeling: A Sensitivity Study Using the Discrete Element Method

2019 ◽  
Author(s):  
Cora Siebert
Keyword(s):  
Debris Flow ◽  
Discrete Element Method ◽  
Discrete Element ◽  
Sensitivity Study ◽  
Flow Modeling ◽  
Selection Of ◽  
Element Method

scholarly journals Torque Analysis of a Gyratory Crusher with the Discrete Element Method

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 878
Author(s):  
Manuel Moncada ◽  
Patricio Toledo ◽  
Fernando Betancourt ◽  
Cristian G. Rodríguez
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Copper Industry ◽  
Nominal Data ◽  
Operational Conditions ◽  
Torque Analysis ◽  
Radial Forces ◽  
Dem Model ◽  
Selection Of ◽  
Element Method

Comminution by gyratory crusher is the first stage in the size reduction operation in mineral processing. In the copper industry, these machines are widely utilized, and their reliability has become a relevant aspect. In order to optimize the design and to improve the availability of gyratory crushers, it is necessary to calculate their power and torque accurately. The discrete element method (DEM) has been commonly used in several mining applications and is a powerful tool to predict the necessary power required in the operation of mining machines. In this paper, a DEM model was applied to a copper mining gyratory crusher to perform a comprehensive analysis of the loads in the mantle, the crushing torque, and crushing power. A novel polar representation of the radial forces is proposed that may help designers, engineers, and operators to recognize the distribution of force loads on the mantle in an easier and intuitive way. Simulations with different operational conditions are presented and validated through a comparison with nominal data. A calculation procedure for the crushing power of crushers is presented, and recommendations for the selection of the minimum resolved particle size are given.

Numerical study of granular debris flow run-up against slit dams by discrete element method

Landslides ◽  
2019 ◽  
Vol 17 (3) ◽  
pp. 585-595 ◽  
Author(s):  
Gordon G. D. Zhou ◽  
Junhan Du ◽  
Dongri Song ◽  
Clarence E. Choi ◽  
H. S. Hu ◽  
...  
Keyword(s):  
Debris Flow ◽  
Discrete Element Method ◽  
Numerical Study ◽  
Discrete Element ◽  
Run Up ◽  
Element Method

Influence analysis of particle size and distribution on the final disposal of grains after a debris flow simulation using the Discrete Element Method

2015 ◽  
Author(s):  
Jessika da Rocha Silva ◽  
Luciana Correia Laurindo Martins Vieira ◽  
Diogo Tenório Cintra ◽  
William Wagner Matos Lira
Keyword(s):  
Particle Size ◽  
Debris Flow ◽  
Discrete Element Method ◽  
Flow Simulation ◽  
Discrete Element ◽  
Influence Analysis ◽  
Final Disposal ◽  
Element Method

Discrete element method to model cracking for two layer systems

TAPPI Journal ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 101-108
Author(s):  
Daniel Varney ◽  
Douglas Bousfield
Keyword(s):  
Discrete Element Method ◽  
Flexural Modulus ◽  
Single Layer ◽  
Discrete Element ◽  
Flexural Stress ◽  
Layer System ◽  
Three Point Bending ◽  
Moving Force ◽  
Coating Layers ◽  
Element Method

Cracking at the fold is a serious issue for many grades of coated paper and coated board. Some recent work has suggested methods to minimize this problem by using two or more coating layers of different properties. A discrete element method (DEM) has been used to model deformation events for single layer coating systems such as in-plain and out-of-plain tension, three-point bending, and a novel moving force picking simulation, but nothing has been reported related to multiple coating layers. In this paper, a DEM model has been expanded to predict the three-point bending response of a two-layer system. The main factors evaluated include the use of different binder systems in each layer and the ratio of the bottom and top layer weights. As in the past, the properties of the binder and the binder concentration are input parameters. The model can predict crack formation that is a function of these two sets of factors. In addition, the model can predict the flexural modulus, the maximum flexural stress, and the strain-at-failure. The predictions are qualitatively compared with experimental results reported in the literature.

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