scholarly journals Research on screening performance of double layer vibrating screen for soybean harvester based on discrete element method

2019 ◽  
Keyword(s):  
Discrete Element Method ◽  
Double Layer ◽  
Discrete Element ◽  
Vibrating Screen ◽  
Screening Performance ◽  
Element Method

Numerical simulation of particle screening efficiency of large multi-layer vibrating screen based on discrete element method

2021 ◽  
pp. 095440892110606
Author(s):  
Yujia Li ◽  
Peng Zhao ◽  
Li Mo ◽  
Tao Ren ◽  
Minghong Zhang
Keyword(s):  
Discrete Element Method ◽  
Environmental Protection ◽  
Inclination Angle ◽  
Discrete Element ◽  
Physical Parameters ◽  
Screening Process ◽  
Efficient Operation ◽  
Vibrating Screen ◽  
Screening Efficiency ◽  
Element Method

With the increasing requirements for energy conservation and environmental protection, multi-layer vibrating screens have become hot issues. Compared with single-layer vibrating screens, multi-layer vibrating screens has much better performance in terms of processing effect, treatment capacity, and environmental protection. The research on the physical parameters of the multi-layer vibrating screen is of great significance to the actual production. However, analysis and simulation studies of multi-layer vibrating screens are limited. In this paper, the screening process of wet particles on a multi-layer vibrating screen was simulated by using the discrete element method. The characteristics and application scope of the two vibration modes were analyzed. The particle penetration rate, the number of collisions, and the distribution of the particles under 23 combinations of structures and vibration parameters were investigated. The influence of different parameters on screening performance was analyzed. Several optimal combinations of frequency, amplitude and screen inclination angle under different working conditions were obtained. The screening efficiency of the balanced elliptic motion is higher than that of the linear motion. The best combination of the three parameters is 4 mm amplitude, 20 Hz frequency, and 3° inclination angle. The efficiency is higher when the particles follow a distribution of arithmetic on the screen. This study provides a reference for the efficient operation and optimal design of large multi-layer screening equipment.

scholarly journals Application of the Discrete Element Method to Study the Effects of Stream Characteristics on Screening Performance

Minerals ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 788 ◽  
Author(s):  
Ali Davoodi ◽  
Gauti Asbjörnsson ◽  
Erik Hulthén ◽  
Magnus Evertsson
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Relative Difference ◽  
Screening Process ◽  
Material Density ◽  
Screening Performance ◽  
Crushing Plant ◽  
Individual Particles ◽  
Element Method

Screening is a key operation in a crushing plant that ensures adequate product quality of aggregates in mineral processing. The screening process can be divided into the two sub-processes of stratification and passage. The stratification process is affected by the relative difference between various properties, such as particle shape, size distribution, and material density. The discrete element method (DEM) is a suitable method for analyzing the interactions between individual particles and between particles and a screen deck in a controlled environment. The main benefit of using the DEM for simulating the screening process is that this method enables the tracking of individual particles in the material flow, and all of the collisions between particles and between particles and boundaries. This paper presents how different particle densities and flowrates affect material stratification and, in turn, the screening performance. The results of this study show that higher density particles have a higher probability of passage because of their higher stratification rate, which increases the probability that a particle will contact the screen deck during the process.

scholarly journals Dynamic Modeling of a Vibrating Screen Considering the Ore Inertia and Force of the Ore over the Screen Calculated with Discrete Element Method

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Manuel Moncada M. ◽  
Cristian G. Rodríguez
Keyword(s):  
Discrete Element Method ◽  
Dynamic Model ◽  
Dynamic Models ◽  
Adhesion Force ◽  
Angular Displacement ◽  
Slope Angle ◽  
Discrete Element ◽  
Vibrating Screen ◽  
Linear Dynamic ◽  
Element Method

Vibrating screens are critical machines used for size classification in mineral processing. Their proper operation, including accurate vibration movement and slope angle, can provide the benefits of energy savings and cost reductions in the screening process and the whole mining process. Dynamic models of the vibrating screen movement available in the literature do not simulate ore motion or its interaction with screen decks. The discrete element method (DEM) allows for the calculation of the dynamic of the ore. In this paper, two 2D three-degrees-of-freedom dynamic models for a vibrating screen are tested, using linear and nonlinear approaches for angular displacement. These models consider the inertia of the ore and the ore force calculated with DEM. A double-deck linear motion vibrating screen is simulated using the DEM software LIGGGTHS. DEM is used to obtain the ore parameters in the steady state and the force on the screen decks. Two cases are compared: Case 1 considers the ore as moving together with the vibrating screen, and Case 2 considers the ore force on the screen deck as calculated by DEM. Simulations are carried out with data for an industrial vibrating screen used in copper mining. The force over the screen is significantly different between the cases. Case 1 produces a force that is unrealistic because the ore cannot produce a high-amplitude adhesion force over the screen decks. In Case 2, no adhesion force acts between the ore and deck. It is concluded that the linear dynamic model used in Case 2 is adequate to evaluate the influence of the ore on the movement of the vibrating screen. The linear dynamic model considering the force as in Case 1 can be used to simulate a vibrating screen, as long as a correct calibration parameter is included to obtain an accurate motion amplitude.

Study on How Sieving Parameters of Vibration Screen Influence Sieving Efficiency Based on DEM

2013 ◽  
Vol 444-445 ◽  
pp. 1038-1041
Author(s):  
Wen Jin Huang ◽  
Ya Yu Huang ◽  
Jun Shi ◽  
Shi Chang Han
Keyword(s):  
Discrete Element Method ◽  
Discrete Element ◽  
Traditional Methods ◽  
Vibrating Screen ◽  
Sieving Process ◽  
Design And Application ◽  
Element Method

Vibrating screen is the most commonly used sieving machinery, how to improve its sieving performance is a major issue during the design and application. Discrete element method (DEM) was employed here to analyze and simulate the sieving process, and the influence of the various sieving parameters on sieving efficiency were studied. The curve of relationship between the sieving parameters and sieving efficiency was established. Contrasted with traditional methods, DEM has great superiority on the sieving study.

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.

Sign in / Sign up

Export Citation Format

Share Document