Influence of Particle Shape and Size on Gyratory Crusher Simulations Using the Discrete Element Method

被引:1
作者
Moncada, Manuel [1 ]
Rojas, Christian [1 ]
Toledo, Patricio [2 ]
Rodriguez, Cristian G. [1 ]
Betancourt, Fernando [2 ]
机构
[1] Univ Concepcion, Fac Ingn, Dept Ingn Mecan, Edmundo Larenas 219, Concepcion 4070409, Chile
[2] Univ Concepcion, Fac Ingn, Dept Ingn Metalurg, Edmundo Larenas 219, Concepcion 4070371, Chile
关键词
discrete element method; gyratory crusher; particle shape; particle size distribution; CONE CRUSHER; MODEL; BREAKAGE; DEM; OPTIMIZATION; PERFORMANCE; CALIBRATION; SHEARING;
D O I
10.3390/min15030232
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Gyratory crushers are fundamental machines in aggregate production and mineral processing. Discrete Element Method (DEM) simulations offer detailed insights into the performance of these machines and serve as a powerful tool for their design and analysis. However, these simulations are computationally intensive due to the large number of particles involved and the need to account for particle breakage. This study aims to investigate the effect of particle shape and size distribution on the performance of a DEM model of a gyratory crusher. The selected study case corresponds to a primary gyratory crusher operating in a copper processing industry. As particle shapes, spheres and polyhedrons are used with a particle replacement scheme. This study utilizes two different size distributions, with variations also applied to the minimum particle size. The results are analyzed in terms of the impact of these factors on the power draw, mass flow, and product size distribution for each of the combinations explained. The findings demonstrate that particle shape primarily influences the product size distribution, whereas variations in particle size distribution have a pronounced effect on power draw, mass flow rate, and product size distribution. Based on the results, recommendations are provided regarding the selection of the minimum particle size. It is concluded that the minimum particle size should not exceed a third of the closed-side setting to ensure accurate and reliable simulation outcomes.
引用
收藏
页数:21
相关论文
共 50 条
  • [41] Using the Discrete Element Method to Develop Collisional Dissipation Rate Models That Incorporate Particle Shape
    Buettner, Kevin E.
    Guo, Yu
    Curtis, Jennifer S.
    AICHE JOURNAL, 2017, 63 (12) : 5384 - 5395
  • [42] An Efficient Parallel Framework for the Discrete Element Method Using GPU
    Dong, Youkou
    Yan, Dingtao
    Cui, Lan
    APPLIED SCIENCES-BASEL, 2022, 12 (06):
  • [43] A barrel shape study fora twin-screw conveyor using the Discrete Element Method
    Rhymer, D.
    Ingram, A.
    Windows-Yule, C. R. K.
    POWDER TECHNOLOGY, 2025, 455
  • [44] Three-dimensional discrete element simulation of influence of particle shape on granular column collapse
    Zhang Cheng-gong
    Yin Zhen-yu
    Wu Ze-xiang
    Jin Yin-fu
    ROCK AND SOIL MECHANICS, 2019, 40 (03) : 1197 - 1203
  • [45] Research on the Influence of Changes in Particle Sizes on Simulation Results in the Simulation Test Based on the Discrete Element Method
    Tan, Xuhong
    Gao, Jingwei
    Hu, Cheng
    Song, Xiaobo
    Zhang, Min
    Zheng, Peng
    PROCEEDINGS OF INCOME-VI AND TEPEN 2021: PERFORMANCE ENGINEERING AND MAINTENANCE ENGINEERING, 2023, 117 : 81 - 95
  • [46] A Dynamic Model of Inertia Cone Crusher Using the Discrete Element Method and Multi-Body Dynamics Coupling
    Cheng, Jiayuan
    Ren, Tingzhi
    Zhang, Zilong
    Liu, Dawei
    Jin, Xin
    MINERALS, 2020, 10 (10) : 1 - 23
  • [47] Discrete element method investigation of particle size distribution effects on the flexural properties of cement-treated base
    Nhu H T Nguyen
    Bui, Ha H.
    Arooran, S.
    Nguyen, Giang D.
    Kodikara, J.
    COMPUTERS AND GEOTECHNICS, 2019, 113
  • [48] Discrete Element Study of Particle Size Distribution Shape Governing Critical State Behavior of Granular Material
    Jiang, Mingdong
    Barreto, Daniel
    Ding, Zhi
    Yang, Kaifang
    FRACTAL AND FRACTIONAL, 2025, 9 (01)
  • [49] Discrete element method study of parameter optimization and particle mixing behaviour in a soil mixer
    Bao, Ming
    Lin, Jiming
    Zhang, Feng
    Yang, Jianhong
    PARTICUOLOGY, 2023, 81 : 1 - 14
  • [50] Review of Discrete Element Method Simulations of Soil Tillage and Furrow Opening
    Aikins, Kojo Atta
    Ucgul, Mustafa
    Barr, James B.
    Awuah, Emmanuel
    Antille, Diogenes L.
    Jensen, Troy A.
    Desbiolles, Jacky M. A.
    AGRICULTURE-BASEL, 2023, 13 (03):