Modeling Method of Corn Kernel Based on Discrete Element Method and Its Experimental Study

被引:1
|
作者
Zhang, Jie [1 ]
Jiang, Xinming [1 ]
Yu, Yajun [2 ]
机构
[1] Jilin Agr Univ, Coll Engn & Technol, Changchun 130118, Peoples R China
[2] Jilin Univ, Sch Biol & Agr Engn, Changchun 130022, Peoples R China
来源
AGRICULTURE-BASEL | 2024年 / 14卷 / 12期
基金
中国国家自然科学基金;
关键词
agricultural engineering; discrete element method; corn kernels; Rocky DEM; CALIBRATION; PARAMETERS; SIMULATION; VALIDATION;
D O I
10.3390/agriculture14122195
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Due to the complex shape of corn kernels and the large difference in size, in order to establish a more realistic model of corn kernels, this paper tests and analyzes two representative corn varieties planted in Northern China, and each variety is divided into high and low moisture content as the research object. According to its natural shape, the corn kernels are subdivided into four categories: wide horse-tooth shape, narrow horse-tooth shape, pyramid shape and spherical shape. The geometric parameters are tested and analyzed, and the correlation between the characteristic dimensions is obtained. Through the Rocky software, the polyhedral modeling method was used to establish the corn kernel models of different shapes, and the contact parameters and mechanical parameters were measured and calibrated, which were used as the basis for the modeling of corn kernel groups. Finally, through the simulation analysis of the corn kernel accumulation process and the comparison of the test results, the influence of different contact parameters on the simulation test results is explored, and the influence trend of the simulation results is analyzed. The feasibility and accuracy of the corn kernel population model established by the polyhedron method used in this paper are verified, which provides a reference for studying the simulation parameters of corn kernel population modeling.
引用
收藏
页数:24
相关论文
共 50 条
  • [41] Discrete element method and its applications in fluidization
    Zhou, Chilou
    Zhao, Yongzhi
    Zhao, Y. (yzzhao@zju.edu.cn), 1600, Materials China (65): : 2520 - 2534
  • [42] A Calibration Method for Contact Parameters of Maize Kernels Based on the Discrete Element Method
    Li, Hongcheng
    Zeng, Rong
    Niu, Zhiyou
    Zhang, Junqi
    AGRICULTURE-BASEL, 2022, 12 (05):
  • [43] A novel method based on orientation discretization for discrete element modeling of non-spherical particles
    Dong, Kejun
    Wang, Chuncheng
    Yu, Aibing
    CHEMICAL ENGINEERING SCIENCE, 2015, 126 : 500 - 516
  • [44] Experimental study on in-situ tilling plow in facility agriculture based on discrete element method
    Liu Y.-Y.
    Yu S.-J.
    Xu B.
    Wang X.-L.
    Song F.-C.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2024, 54 (04): : 1153 - 1165
  • [45] Discrete Element Method Modeling of the Rheological Properties of Coke/Pitch Mixtures
    Majidi, Behzad
    Taghavi, Seyed Mohammad
    Fafard, Mario
    Ziegler, Donald P.
    Alamdari, Houshang
    MATERIALS, 2016, 9 (05):
  • [46] Discrete Element Method Simulation and Experimental Study of Silicon Carbide on Pre-Stressed Machining
    Jiang, S. Q.
    Tan, Y. Q.
    Yang, D. M.
    Sheng, Y.
    PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY, 2010, 94
  • [47] Calibration of the discrete element method
    Coetzee, C. J.
    POWDER TECHNOLOGY, 2017, 310 : 104 - 142
  • [48] Modeling of Asphalt Concrete Fracture Tests with the Discrete-Element Method
    Meza-Lopez, Juliana
    Norena, Nilthson
    Meza, Carlos
    Romanel, Celso
    JOURNAL OF MATERIALS IN CIVIL ENGINEERING, 2020, 32 (08)
  • [49] Modeling the interaction of soil and a vibrating subsoiler using the discrete element method
    Wang, Y.
    Zhang, D.
    Yang, L.
    Cui, T.
    Jing, H.
    Zhong, X.
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 174
  • [50] Predictive modeling of crushing power in cone crushers with the discrete element method
    Moncada, M. Manuel
    Toledo, M. Patricio
    Betancourt, C. Fernando
    Rodriguez, Cristian G.
    POWDER TECHNOLOGY, 2024, 447