DEM calibration approach: orthogonal experiment

被引:10
作者
Boikov, A. V. [1 ]
Savelev, R. V. [1 ]
Payor, V. A. [1 ]
Vasileva, N. V. [1 ]
机构
[1] St Petersburg Min Univ, 21 Line VO, St Petersburg 199106 2, Russia
来源
XII INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE APPLIED MECHANICS AND SYSTEMS DYNAMICS | 2019年 / 1210卷
关键词
DISCRETE ELEMENT METHOD; SIMULATION; VALIDATION; FLOW;
D O I
10.1088/1742-6596/1210/1/012025
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The research considers conducting orthogonal experiment (OT) as one of the stages in developing a new discrete element method (DEM) parameters calibration approach. The measured responses in experiment are the parameters obtained by DEM animation processing using machine vision system (MVS). The variable factors in experiment are DEM parameters. A brief overview of an existing calibration approaches given in the article. The choice of OT as a design of experiment tool among other mathematical tools discussed. Experiments conducted using specially developed rig where bulk material's flow captured as DEM animation. DEM animation converted to video and then processed using MVS that allow register the values of such parameters as angle of repose or expiration time (measured responses). The results of the OT show that it is possible to identify four measured responses with the most valuable correlation coefficient. DEM parameters with the biggest influence on the measured responses identified for each of the obtained regression. Obtained results are useful in learning or iterative algorithms development for DEM parameters calibration.
引用
收藏
页数:8
相关论文
共 21 条
[11]  
Gospodarikov A P, 2017, J MINING I, V226, P1
[12]   Application of periodic boundary conditions to CFD-DEM simulation of gas-solid flow in pneumatic conveying [J].
Kuang, S. B. ;
Li, K. ;
Zou, R. P. ;
Pan, R. H. ;
Yu, A. B. .
CHEMICAL ENGINEERING SCIENCE, 2013, 93 :214-228
[13]   Validation and Calibration Approach for Discrete Element Simulation of Burden Charging in Pre-reduction Shaft Furnace of COREX Process [J].
Li, Qiang ;
Feng, Mingxia ;
Zou, Zongshu .
ISIJ INTERNATIONAL, 2013, 53 (08) :1365-1371
[14]   Discrete Element Method (DEM) for Industrial Applications: Comments on Calibration and Validation for the Modelling of Cylindrical Pellets [J].
Marigo, Michele ;
Stitt, Edmund Hugh .
KONA POWDER AND PARTICLE JOURNAL, 2015, (32) :236-252
[15]   Simulation of fresh concrete flow using Discrete Element Method (DEM): theory and applications [J].
Mechtcherine, Viktor ;
Gram, Annika ;
Krenzer, Knut ;
Schwabe, Jeorg-Henry ;
Shyshko, Sergiy ;
Roussel, Nicolas .
MATERIALS AND STRUCTURES, 2014, 47 (04) :615-630
[16]   A spherical discrete element model: calibration procedure and incremental response [J].
Plassiard, Jean-Patrick ;
Belheine, Noura ;
Donze, Frederic-Victor .
GRANULAR MATTER, 2009, 11 (05) :293-306
[17]   A methodical calibration procedure for discrete element models [J].
Rackl, Michael ;
Hanley, Kevin J. .
POWDER TECHNOLOGY, 2017, 307 :73-83
[18]  
Tan Y., 2017, EPJ WEB C, V140, DOI 10.1051/epjconf/201714002026
[19]   The contribution of DEM to the science of comminution [J].
Weerasekara, N. S. ;
Powell, M. S. ;
Cleary, P. W. ;
Tavares, L. M. ;
Evertsson, M. ;
Morrison, R. D. ;
Quist, J. ;
Carvalho, R. M. .
POWDER TECHNOLOGY, 2013, 248 :3-24
[20]   Optimisation of a circularly vibrating screen based on DEM simulation and Taguchi orthogonal experimental design [J].
Zhao, Lala ;
Zhao, Yuemin ;
Bao, Chunyong ;
Hou, Qinfu ;
Yu, Aibing .
POWDER TECHNOLOGY, 2017, 310 :307-317