A GENERAL MODELLING APPROACH FOR COATED COTTON-SEEDS BASED ON THE DISCRETE ELEMENT METHOD

被引:7
|
作者
Wang Long [1 ,2 ,3 ]
Hu Can [1 ,2 ,3 ]
He Xiaowei [1 ,2 ,3 ]
Guo Wensong [2 ,3 ]
Wang Xufeng [2 ,3 ]
Hou Shulin [1 ]
机构
[1] China Agr Univ, Coll Engn, Beijing 100083, Peoples R China
[2] Tarim Univ, Coll Mech & Elect Engn, Alar 843300, Xinjiang, Peoples R China
[3] Dept Educ Xinjiang Uygur Autonomous Reg, Key Lab Coll & Univ, Alar, Xinjiang, Peoples R China
来源
INMATEH-AGRICULTURAL ENGINEERING | 2021年 / 63卷 / 01期
基金
中国国家自然科学基金;
关键词
coated cotton seeds; discrete element; parameter calibration; optimal design; SIMULATION; OPTIMIZATION; CALIBRATION; PARAMETERS;
D O I
10.35633/inmateh-63-22
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
In the current paper, a coated cotton-seed discrete element model was established. Furthermore, we designed a device for the simultaneous determination of the repose and accumulation angles, and Plackett-Burman and central composite design (CCD) tests were performed with the repose and accumulation angles as the test indexes. The static friction coefficient between seeds (SFCC) and the dynamic friction coefficient between seeds (DFCC) were observed to have a significant influence on the indexes and were thus selected for the subsequent analysis (P < 0.05). Analysis of variance revealed the terms of these two parameters to have a significant effect on the relative error of the repose angle (RERA) and the relative error of accumulation angles (REAA) (P < 0.05). A solution to the proposed mathematical model was determined via the NSGA- d genetic algorithm and the Pareto optimal solution set was obtained. Based on multi-objective optimization, the SFCC and DFCC were determined as 0.174 and 0.068, for RERA and REAA values of 1.715% and 1.712%, respectively. Simulations were then performed using the optimal parameters. Results of the T-test demonstrated that there were no significant differences between the simulated and physical test results.
引用
收藏
页码:221 / 230
页数:10
相关论文
共 50 条
  • [21] A study on the modelling method of maize-seed particles based on the discrete element method
    Zhou, Long
    Yu, Jianqun
    Wang, Yang
    Yan, Dongxu
    Yu, Yajun
    POWDER TECHNOLOGY, 2020, 374 : 353 - 376
  • [22] A DEM-based general modelling method and experimental verification for wheat seeds
    Sun, Kai
    Yu, Jianqun
    Liang, Liusuo
    Wang, Yang
    Yan, Dongxu
    Zhou, Long
    Yu, Yajun
    POWDER TECHNOLOGY, 2022, 401
  • [23] SIMULATION PARAMETER CALIBRATION AND TEST OF PAK CHOI SEEDS BASED ON DISCRETE ELEMENT METHOD
    Dun, Guoqiang
    Zhang, Chaoxia
    Ji, Xinin
    Meng, Qingjun
    Sheng, Quanbao
    Wang, Lei
    INMATEH-AGRICULTURAL ENGINEERING, 2024, 73 (02): : 391 - 405
  • [24] Calibration and test of the contact parameters for chopped cotton stems based on discrete element method
    Liang, Rongqing
    Chen, Xuegeng
    Zhang, Bingcheng
    Wang, Xinzhong
    Kan, Za
    Meng, Hewei
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2022, 15 (05) : 1 - 8
  • [25] A discrete element approach for modelling bendable crop stems
    Leblicq, Tom
    Smeets, Bart
    Vanmaercke, Simon
    Ramon, Herman
    Saeys, Wouter
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2016, 124 : 141 - 149
  • [26] A discrete element approach for modelling the compression of crop stems
    Leblicq, Tom
    Smeets, Bart
    Ramon, Herman
    Saeys, Wouter
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2016, 123 : 80 - 88
  • [27] Metaball based discrete element method for general shaped particles with round features
    Pei Zhang
    Yueshi Dong
    S. A. Galindo-Torres
    A. Scheuermann
    Ling Li
    Computational Mechanics, 2021, 67 : 1243 - 1254
  • [28] Metaball based discrete element method for general shaped particles with round features
    Zhang, Pei
    Dong, Yueshi
    Galindo-Torres, S. A.
    Scheuermann, A.
    Li, Ling
    COMPUTATIONAL MECHANICS, 2021, 67 (04) : 1243 - 1254
  • [29] PARTICLE MOTION OF COATED CORN SEED ACCUMULATION PROCESS BASED ON DISCRETE ELEMENT METHOD
    Wang, Shihao
    Xia, Shouhao
    Chen, Yongxin
    Lou, Chao
    Ren, Dinglin
    Li, Zhaodong
    INMATEH-AGRICULTURAL ENGINEERING, 2024, 72 (01): : 375 - 390
  • [30] Future of the discrete element method in the modelling of grinding wheels
    Osa, Juan Luis
    Ortega, Naiara
    Vidal, Gorka
    Fernandez-Gauna, Borja
    Carballo, Asier
    Tolosa, Ibon
    ENGINEERING COMPUTATIONS, 2018, 35 (06) : 2255 - 2271