Simulating a laboratory-scale cone crusher in DEM using polyhedral particles

André, Flávio P.; Tavares, Luís Marcelo

doi:10.1016/j.powtec.2020.06.016

Cited by 32 publications

(23 citation statements)

References 32 publications

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“…In conclusion, the tangential force F s and the tangential stiffness K s of mineral particles are shown in Eq. (16).…”

Section: Multiscale Particle Bonding Modelmentioning

confidence: 99%

“…Eq. 14to (16) were the normal and tangential stiffness obtained from the corresponding physical experiments. The normal stiffness coefficient and tangent stiffness coefficient used in the simulation should be deduced by the discrete element theory.…”

Section: Multiscale Particle Bonding Modelmentioning

confidence: 99%

“…Crushing tools have been used by humans for thousands of years. The theory of crushing, the design of crushing machinery, and the study of crushing processes began to be proposed back to the last century [14][15][16]. However, the crushing station is inevitably affected by vibration and friction in the mining production process, resulting in excessive energy consumption in the crushing process [17,18].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Energy Saving Operation Strategy of Multiparameter Coupling Coordinated Speed Regulation for Crushing

Luo¹,

Zhang²,

Zhang³

et al. 2020

ACSM

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Energy saving is an important measure for the sustainable of opencast mining industry. However, the energy saving operation of crushing station is affected by vibration and collision in the process of open pit mining. This research aims to explore a novel strategy to reduce the high energy consumption of crushing station. Discrete element method (DEM), particle contact model and multiscale viscous particle model were used to analyse the operation process of crushing station. A multiparameter coupling coordinated speed regulation crushing strategy was proposed combined with the crusher model and simulation parameters. The practical application of this strategy in the crushing station of Shenbao energy open pit mine has been verified. The application results showed that compared with the manual operation control, the crushing efficiency of the crushing station is increased by 21.80%, the powder passing rate is reduced by 53.35%, and the operation energy saving of the crushing station is about 41.00%. The energy saving effect of multiparameter optimization is better than that of single parameter. This research provides a new theoretical basis for energy saving operation of crushing station in open pit mine.

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“…In conclusion, the tangential force F s and the tangential stiffness K s of mineral particles are shown in Eq. (16).…”

Section: Multiscale Particle Bonding Modelmentioning

confidence: 99%

Section: Multiscale Particle Bonding Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Novel Energy Saving Operation Strategy of Multiparameter Coupling Coordinated Speed Regulation for Crushing

Luo¹,

Zhang²,

Zhang³

et al. 2020

ACSM

View full text Add to dashboard Cite

show abstract

“…Delaney et al [11] presented predictions of particle flow and compression breakage of nonround rock passing through an industrial scale cone crusher using the DEM, and by these predictions through the crusher, products' size distribution and liner wear were discussed. André and Tavares [12] used the discrete element model to simulate the crushing of the mixture containing tough and soft components.…”

Section: Introductionmentioning

confidence: 99%

Research of Single-Particle Compression Ratio and Prediction of Crushed Products and Wear on the 6-DOF Robotic Crusher

Duan

Shi

2021

Mathematical Problems in Engineering

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In order to reduce wear and increase crushing efficiency of the 6-DOF (degree of freedom) robotic crusher, the maximum single-particle compression ratio function of the granular material and the wear model of the mantle liner under eccentric compression are established. The function and model take into account the influence of crusher parameters and granular material parameters on maximum single-particle compression ratio, which is simulated by EDEM and obtained under different conditions. Combined with previous research, the theoretical distribution of crushed products and the crushing chamber size can be obtained at each time of the whole life cycle of the liner. Compared with the experimental data of Ansteel Group in previous research, the difference between the functional model and the actual results is small. This function is universal and can be used to provide reference for the 6-DOF robotic crusher’s crushing strategy and a theoretical basis and a design reference of the traditional structure cone crusher.

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“…Additionally, no research regarding the mass of inertia cone crusher optimization has yet been published to our knowledge. Cleary et al [6] and Andre et al [7] studied the effect of feed properties (material strength, particle friction) and machine controls (CSS, speed) on cone crusher performances (particle distribution, throughput, power) based on the particle replacement model (PRM) in the software EDEM. Chen et al [8] took the throughput and crushing force as the multi-objective optimization, and studied the effect of the parameters of the crushing chamber and speed on gyratory crusher performances based on the bonded particle model (BPM).…”

Section: Introductionmentioning

confidence: 99%

Influence of Two Mass Variables on Inertia Cone Crusher Performance and Optimization of Dynamic Balance

et al. 2021

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Inertia cone crushers are widely used in complex ore mineral processing. The two mass variables (fixed cone mass and moving cone mass) affect the dynamic performance of the inertia cone crusher. Particularly the operative crushing force of the moving cone and the amplitude of the fixed cone are affected, and thus the energy consumption of the crusher. In this paper, the process of crushing steel slag is taken as a specific research object, to analyze the influence of two mass variables on the inertia cone crusher performance. A real-time dynamic model based on the multi-body dynamic (MBD) and the discrete element method (DEM) is established. Furthermore, the influence of the fixed cone mass and moving cone mass on the operative crushing force, amplitude and average power draw are explored by the design of simulation experiments. The predictive regression models of inertia cone crusher performance are obtained using response surface methodology (RSM). After increasing the fixed cone mass, the optimized amplitude, average power and moving cone mass are decreased by 37.1%, 33.1% and 10%, respectively, compared to without the adjustment. Finally, a more effective dynamic balancing mechanism of inertia cone crusher is achieved, which can utilize the kinetic energy of a balancer, and minimize the mass of the fixed and moving cone. The fixed cone mass and moving cone mass of a balancing crusher are decreased by 78.9% and 22.8%, respectively, compared to without the balancing mechanism.

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Simulating a laboratory-scale cone crusher in DEM using polyhedral particles

Cited by 32 publications

References 32 publications

A Novel Energy Saving Operation Strategy of Multiparameter Coupling Coordinated Speed Regulation for Crushing

A Novel Energy Saving Operation Strategy of Multiparameter Coupling Coordinated Speed Regulation for Crushing

Research of Single-Particle Compression Ratio and Prediction of Crushed Products and Wear on the 6-DOF Robotic Crusher

Influence of Two Mass Variables on Inertia Cone Crusher Performance and Optimization of Dynamic Balance

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