Jaw Crusher Based on Discrete Element Method

2013 ◽  
Vol 312 ◽  
pp. 101-105
Author(s):  
Fu Sheng Mu ◽  
Hui Li ◽  
Xing Xue Li ◽  
Hong Zhi Xiong

In order to analyze the force condition and crushing power of crusher teeth plate, the discrete element method models of jaw crusher and double-cavity jaw crusher are set up respectively using EDEM, a kind of software for discrete element analysis. Meanwhile, the working process, the loading force on the teeth plate and crushing power are simulated. The results show that: the rationality of the DEM simulation is declared, and the crushing process of the particles is also shown intuitively. The loading force condition and the crushing power of the moving jaw teeth plate serve as basis for its abrasion and energy consumption respectively.

Author(s):  
Fabian Weigler ◽  
Mirko Peglow ◽  
Evangelos Tsotsas

Granular materials are of great importance industrially, yet not completely understood in regard of their thermal behavior in mixers, dryers, reactors and other types of contact processing equipment. In such equipment heat is supplied to a mechanically agitated bed of particles from heating surfaces. Continuum models are used traditionally for the description of the process. An example is the penetration model (PM) which describes the heating process of the particles as a sequence of penetration periods and mixing steps. As an alternative to the PM the thermal discrete element method (DEM) was applied in newer work. To validate the DEM simulation an experimental set-up and a new contactless measurement method were developed, and applied to the thermal relaxation in packed beds composed by a fraction of warm and a fraction of cold particles. In these thermal investigations aluminum spheres which are coated with thermochromic pigments are used. Thermochromic pigments are pigments that change color with heat supply as a result of a structural phase transition. Such a measuring technology allows for the experimental determination of temperature distributions in the disperse phase and thus, for a quantitative comparison with the results of the thermal DEM simulation. In this work the experimental results of 2D, 3D, stagnant and agitated beds are presented and compared with corresponding numerical computations using the discrete element method. Still existing deviations are partially caused by undesired heat losses and will be discussed in the contribution.


2013 ◽  
Vol 690-693 ◽  
pp. 2730-2733
Author(s):  
Tao Yong Zhou ◽  
Bin Hu ◽  
Bo Yan ◽  
Jun Feng Sun

Railway ballast tamping operations is employed in order to restore the geometry of railway track distorted by train traffics. The main goal is to compact the stone ballast under the sleepers supporting the railway squeezing and vibrations. The ballast compactness is the most direct index for evaluating the effect of tamping operation. This paper presents an experimental method used to detect the railway ballast compactness before and after tamping operation based on water-filling method, and creates a discrete element analysis model of railway ballast which analyzes the change of ballast compactness before and after tamping operation based on discrete element method. The simulation results are very similar with experimental results, which verify that the discrete element method is an effective method to evaluate the change of railway ballast compactness during tamping process.


Author(s):  
Yusuke Shigeto ◽  
Mikio Sakai ◽  
Shin Mizutani ◽  
Seiichi Koshizuka ◽  
Shuji Matsusaka

Large amount of particles are used in the industrial systems. Numerical analyses of these systems are expected to reduce designing cost. However the numerical analysis of powder is not used practically, because it requires high calculation cost which grows up with the number of particles. Besides, there are memory consumption problem which is required for calculation space. In this paper, the parallel simulation techniques of the Discrete Element Method (DEM) on multi-core processors are described. In the present study, it is shown that the algorithm enables all the processes of the DEM to be executed parallel. Moreover, a new algorithm which makes the memory space usage effectively and accelerates the calculation speed is proposed for multi-thread parallel computing of the DEM. In the present study, the memory space usage is shown to be reduced drastically by introducing this algorithm. In addition, the coarse grain model which emulates original particles with less calculation particles is applied in order to reduce calculation cost. For the practical usage of the DEM in industries, the simulation is performed in a large-scale powder system which possesses a complicated drive unit. In the current study, it is shown that the large scale DEM simulation of practical systems is enabled to be executed by our proposing algorithms.


2012 ◽  
Vol 233 ◽  
pp. 224-227 ◽  
Author(s):  
Tao Yong Zhou ◽  
Bin Hu ◽  
Xue Jun Wang ◽  
Bo Yan

Railway ballast tamping operations is an important work in the line maintenance and repair operations, the selection of tamping parameter is usually dependent on field trials and practical experience, for the mechanical properties of railway ballast is difficult to measure and describe. This paper creates discrete element analysis model of railway ballast using the discrete element method, the numerical simulations are carried out to study the mechanical properties of railway ballast during tamping process. We focus on the influence of amplitude during tamping process; an optimal amplitude of the simulation analysis is obtained and compared with the recommended amplitude of Plasser & Theurer Company, it is found that the two amplitudes accord. This result verifies the correct validity of the discrete element analysis model of railway ballast during tamping process.


2016 ◽  
Vol 287 ◽  
pp. 131-138 ◽  
Author(s):  
D. Kretz ◽  
S. Callau-Monje ◽  
M. Hitschler ◽  
A. Hien ◽  
M. Raedle ◽  
...  

2021 ◽  
Vol 191 ◽  
pp. 106538
Author(s):  
Sher Ali Shaikh ◽  
Yaoming Li ◽  
Zheng Ma ◽  
Farman Ali Chandio ◽  
Mazhar Hussain Tunio ◽  
...  

2018 ◽  
Vol 336 ◽  
pp. 415-425 ◽  
Author(s):  
Fuhai Yu ◽  
Shuai Zhang ◽  
Guangzheng Zhou ◽  
Yun Zhang ◽  
Wei Ge

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