Investigation of force transmission, critical breakage force and relationship between micro-macroscopic behaviors of agricultural granular material in a uniaxial compaction test using discrete element method

被引:5
作者
Tien-Thinh Le [1 ,2 ]
机构
[1] PHENIKAA Univ, Fac Mech Engn & Mechatron, Hanoi, Vietnam
[2] A&A Green Phoenix Grp JSC, PHENIKAA Res & Technol Inst PRATI, Hanoi, Vietnam
关键词
Discrete Element Method; force chain network; uniaxial compaction; agricultural granular materials; soybeans; PARTICLE-SHAPE; DEM; SIMULATION; MODELS; PARAMETERS; COMPRESSION; CALIBRATION; SEEDER;
D O I
10.1080/02726351.2021.1983904
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In this paper, numerical DEM simulations are presented that were used to study the response of agricultural granular materials, such as dry soybeans, in a uniaxial compaction test. To this aim, the microscopic parameters of soybeans (i.e., input parameters for DEM simulations) were taken from our previous published work through a calibration between experiments and DEM simulations. The response of the granular medium to the uniaxial compaction stresses, ranging from 0 to 200 kPa with a step of 50 kPa, was investigated locally using various variables, such as displacement field, force chain network, number of particles in contact, and distribution of force acting on particles. The macroscopic responses, such as porosity and axial shortening, were also investigated as a function of applied normal stress. Such investigations allowed for exploring the arrangement of the material microstructure as well as its mechanical response under applied loading. A comparison between DEM simulations and the experiment of particle breakage showed that 200 kPa should be considered as critical normal stress for soybeans. Finally, parametric studies were conducted to highlight the variation in the local and macroscopic properties of the particulate system as a function of inter-microscopic parameters of soybeans.
引用
收藏
页码:620 / 637
页数:18
相关论文
共 54 条
[1]   Assessment of rolling resistance models in discrete element simulations [J].
Ai, Jun ;
Chen, Jian-Fei ;
Rotter, J. Michael ;
Ooi, Jin Y. .
POWDER TECHNOLOGY, 2011, 206 (03) :269-282
[2]  
Ayachit U., 2015, The Paraview Guide: a Parallel Visualization Application
[3]   Identification of DEM simulation parameters by Artificial Neural Networks and bulk experiments [J].
Benvenuti, L. ;
Kloss, C. ;
Pirker, S. .
POWDER TECHNOLOGY, 2016, 291 :456-465
[4]  
Bidier, 2013, PAMM, V13, P575, DOI [10.1002/pamm.201310269, DOI 10.1002/PAMM.201310269]
[5]  
Boac JM, 2010, T ASABE, V53, P1201
[6]   Applications of Discrete Element Method in Modeling of Grain Postharvest Operations [J].
Boac, Josephine M. ;
Ambrose, R. P. Kingsly ;
Casada, Mark E. ;
Maghirang, Ronaldo G. ;
Maier, Dirk E. .
FOOD ENGINEERING REVIEWS, 2014, 6 (04) :128-149
[7]   Discrete Element Simulation and Validation of a Mixing Process of Granular Materials [J].
Chen, Jian ;
Furuichi, Mikito ;
Nishiura, Daisuke .
MATERIALS, 2020, 13 (05)
[8]   Calibration of the discrete element method and the effect of particle shape [J].
Coetzee, C. J. .
POWDER TECHNOLOGY, 2016, 297 :50-70
[9]  
Cuong N.T., 2015, VIETNAM J MECH, V37, P239, DOI [10.15625/0866-7136/37/4/5844, DOI 10.15625/0866-7136/37/4/5844]
[10]   Continuum modelling of segregating tridisperse granular chute flow [J].
Deng, Zhekai ;
Umbanhowar, Paul B. ;
Ottino, Julio M. ;
Lueptow, Richard M. .
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2018, 474 (2211)