ANALYSIS ON LAYERED ROCK CUTTING PROCESS WITH CUTTER SUCTION DREDGER BASED ON DISCRETE ELEMENT METHOD

2019 ◽  
Author(s):  
PENG JIN ◽  
LIQUAN XIE ◽  
LINZHU ZHENG ◽  
XIN LIANG ◽  
YANG LI
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Rock Cutting ◽  
Cutting Process ◽  
Layered Rock ◽  
Element Method

scholarly journals MAIZE STRAW CUTTING PROCESS MODELLING AND PARAMETER CALIBRATION BASED ON DISCRETE ELEMENT METHOD (DEM)

2021 ◽  
pp. 461-468
Keyword(s):  
Discrete Element Method ◽  
Shear Stiffness ◽  
Discrete Element ◽  
Cutting Process ◽  
Cutting Resistance ◽  
Maize Straw ◽  
Cutting Effect ◽  
Cutting Experiment ◽  
Cutting Model ◽  
Element Method

In order to simulate straw cutting process, this paper established a maize straw cutting model with discrete element method (DEM) based on straw cutting experiment. Firstly, maize straw model consisting of several small particles was established by DEM. Then, a straw cutting experiment was conducted and the maximum straw cutting resistance was 199 N for straw with 15 mm diameter. Then, single-factor experiment was conducted to analyze the effect of DEM parameters on straw cutting effect and the max straw cutting resistance Fmax. The normal stiffness between particles and blade (ball-facet-kn) and shear stiffness between particles and blade (ball-facet-ks) were found to be the significant factors affecting Fmax, and the value of the parameters that has no significance was determined. The optimum combination of the significant parameters was 17662 N·m-1 of ball-facet-kn and 52499 N·m-1 of ball-facet-ks. The verification test results showed that the maize straw model was cut off, thus it could simulate the real straw cutting effect, and the relative error of max straw cutting resistance Fmax between the simulation and the experiment was below 9.1%. Thus, it could be concluded that the established maize straw cutting model was accurate and reliable.

scholarly journals Modelling of Rock Cutting with Asymmetrical Disc Tool Using Discrete-Element Method (DEM)

2021 ◽  
Author(s):  
Grzegorz Stopka
Keyword(s):  
Discrete Element Method ◽  
Simulation Model ◽  
Laboratory Tests ◽  
Experimental Studies ◽  
Deep Understanding ◽  
Discrete Element ◽  
Rock Cutting ◽  
Analytical Models ◽  
Mining Methods ◽  
Element Method

AbstractThe use of asymmetrical disc tools for the mining of hard and very hard rocks is a promising direction for developing mechanical mining methods. A significant obstacle in developing mining methods with the use of asymmetric disc tools is the lack of adequate computational methods. A deep understanding of rock–tool interaction can develop industrial applications of asymmetric disc tools significantly. The fundamental problem in designing work systems with asymmetric disc tools is the lack of adequate analytical models to identify tool loads during the mining process. One reasonable approach is to use computer simulation. The purpose of the research was to develop a simulation model of rock cutting using an asymmetrical disc tool and then evaluate the developed model. In the article, the Discrete-Element Method (DEM) in LS-Dyna was adopted to simulate rock cutting with asymmetrical disc tools. Numerical tests were conducted by pushing the disc into a rock sample at a given distance from the sample edge until the material was detached entirely. Two types of rock samples were used in the simulation tests: concrete and sandstone. The independent variables in the study were the disc diameter and the cut spacing. To validate the simulation model, analogous laboratory tests were carried out. The article presents a comparison of the results of simulation and laboratory tests. The given comparison showed good accordance LS-Dyna model with the experimental studies. The proposed test results can be input data for developing simulation models on a larger scale. Thus, it will be possible to consider the complex kinematics of the dynamics of the rock-mining process with disc tools using the DEM simulation.

scholarly journals MAIZE STRAW CUTTING PROCESS MODELLING AND PARAMETER CALIBRATION BASED ON DISCRETE ELEMENT METHOD (DEM)

2021 ◽  
pp. 461-468
Author(s):  
Zhiqi Zheng ◽  
Hongbo Zhao ◽  
Peng Liu ◽  
Jin He
Keyword(s):  
Discrete Element Method ◽  
Shear Stiffness ◽  
Discrete Element ◽  
Cutting Process ◽  
Cutting Resistance ◽  
Maize Straw ◽  
Cutting Effect ◽  
Cutting Experiment ◽  
Cutting Model ◽  
Element Method

In order to simulate straw cutting process, this paper established a maize straw cutting model with discrete element method (DEM) based on straw cutting experiment. Firstly, maize straw model consisting of several small particles was established by DEM. Then, a straw cutting experiment was conducted and the maximum straw cutting resistance was 199 N for straw with 15 mm diameter. Then, single-factor experiment was conducted to analyze the effect of DEM parameters on straw cutting effect and the max straw cutting resistance Fmax. The normal stiffness between particles and blade (ball-facet-kn) and shear stiffness between particles and blade (ball-facet-ks) were found to be the significant factors affecting Fmax, and the value of the parameters that has no significance was determined. The optimum combination of the significant parameters was 17662 N·m-1 of ball-facet-kn and 52499 N·m-1 of ball-facet-ks. The verification test results showed that the maize straw model was cut off, thus it could simulate the real straw cutting effect, and the relative error of max straw cutting resistance Fmax between the simulation and the experiment was below 9.1%. Thus, it could be concluded that the established maize straw cutting model was accurate and reliable.

A Review on Application of Discrete Element Method in Soil Cutting Process

2013 ◽  
Vol 444-445 ◽  
pp. 1477-1482
Author(s):  
Ju Yang ◽  
Cheng Wu Wang ◽  
Feng Hua Wang ◽  
Xiao Jing Yang
Keyword(s):  
Discrete Element Method ◽  
Agricultural Production ◽  
Agricultural Soils ◽  
Discrete Element ◽  
Cutting Process ◽  
Basic Principles ◽  
Discrete Nature ◽  
Soil Cutting ◽  
External Forces ◽  
Element Method

Soil is one of the important mediators in the agricultural production and its particle is a discontinuous, heterogeneity and nonlinear natural geological substance. It is difficult to analyze the soil cutting process by using traditional methods. According to the discrete nature of the agricultural soils, discrete element method based on the discontinuity assumptions can be an alternative to analyze the changes under external forces in the soil cutting process. This article describes the basic principles, its applications and its prospects of the discrete element method, especially in the field of soil cutting.

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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