Universal Approach for DEM Parameters Calibration of Bulk Materials

被引:7
作者
Boikov, Aleksei [1 ]
Savelev, Roman [1 ]
Payor, Vladimir [1 ]
Potapov, Alexander [2 ]
机构
[1] St Petersburg Min Univ, Dept Mineral Proc Automat Technol Proc & Prod, St Petersburg 199106, Russia
[2] ESSS Rocky DEM, BR-88032700 Florianopolis, SC, Brazil
来源
SYMMETRY-BASEL | 2021年 / 13卷 / 06期
关键词
DEM; discrete element method; calibration; ore; universal approach; experiment; friction; friction coefficients; DEM parameters; DISCRETE ELEMENT METHOD; COEFFICIENT; RESTITUTION; SIMULATIONS; MODELS; REPOSE; ANGLE;
D O I
10.3390/sym13061088
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
DEM parameters calibration is the most important step in preparing a DEM model. At the same time, the lack of a universal approach to DEM parameters calibration complicates this process. The paper presents the author's approach to creating a universal calibration approach based on the physical meaning of the friction coefficients and conducting symmetrical experiments at full scale and in a simulation, as well as the implementation of the approach in the form of a physical test rig. Several experiments were carried out to determine the DEM parameters of six material-boundary pairs. The resulting parameters were adjusted using a refinement experiment. The results confirmed the adequacy of the developed approach, as well as its applicability in various conditions. The limitations of both the approach itself and its specific implementation in the form of a test rig were identified.
引用
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页数:13
相关论文
共 36 条
  • [1] A review on the angle of repose of granular materials
    Al-Hashemi, Hamzah M. Beakawi
    Al-Amoudi, Omar S. Baghabra
    [J]. POWDER TECHNOLOGY, 2018, 330 : 397 - 417
  • [2] [Anonymous], Google Patents
  • [3] Determination of discrete element model parameters required for soil tillage
    Asaf, Z.
    Rubinstein, D.
    Shmulevich, I.
    [J]. SOIL & TILLAGE RESEARCH, 2007, 92 (1-2) : 227 - 242
  • [4] THE CONCEPT OF DIGITAL TWINS FOR TECH OPERATOR TRAINING SIMULATOR DESIGN FOR MINING AND PROCESSING INDUSTRY
    Beloglazov, I. I.
    Petrov, P. A.
    Bazhin, V. Yu
    [J]. EURASIAN MINING, 2020, (02): : 50 - 54
  • [5] [Белоглазов Илья Ильич Beloglazov I.I.], 2018, [Обогащение руд, Obogashchenie rud], P3, DOI 10.17580/or.2018.02.01
  • [6] Benefits of virtual calibration for discrete element parameter estimation from bulk experiments
    Ben Turkia, Salma
    Wilke, Daniel N.
    Pizette, Patrick
    Govender, Nicolin
    Abriak, Nor-Edine
    [J]. GRANULAR MATTER, 2019, 21 (04)
  • [7] DEM Calibration Approach: design of experiment
    Boikov, A. V.
    Savelev, R. V.
    Payor, V. A.
    [J]. INTERNATIONAL CONFERENCE INFORMATION TECHNOLOGIES IN BUSINESS AND INDUSTRY 2018, PTS 1-4, 2018, 1015
  • [8] Calibration of the discrete element method and the effect of particle shape
    Coetzee, C. J.
    [J]. POWDER TECHNOLOGY, 2016, 297 : 50 - 70
  • [9] A calibration framework for discrete element model parameters using genetic algorithms
    Do, Huy Q.
    Aragon, Alejandro M.
    Schott, Dingena L.
    [J]. ADVANCED POWDER TECHNOLOGY, 2018, 29 (06) : 1393 - 1403
  • [10] A multivariate regression parametric study on DEM input parameters of free-flowing and cohesive powders with experimental data-based validation
    El-Kassem, Bilal
    Salloum, Nizar
    Brinz, Thomas
    Heider, Yousef
    Markert, Bernd
    [J]. COMPUTATIONAL PARTICLE MECHANICS, 2021, 8 (01) : 87 - 111