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
  • [1] A general modelling method for soybean seeds based on the discrete element method
    Yan, Dongxu
    Yu, Jianqun
    Wang, Yang
    Zhou, Long
    Yu, Yajun
    POWDER TECHNOLOGY, 2020, 372 : 212 - 226
  • [2] A general modelling method for soybean seeds based on the discrete element method
    Yan, Dongxu
    Yu, Jianqun
    Wang, Yang
    Zhou, Long
    Yu, Yajun
    Powder Technology, 2021, 372 : 212 - 226
  • [3] CALIBRATION AND OPTIMIZATION OF DISCRETE ELEMENT PARAMETERS FOR COATED COTTON SEEDS
    Shi, Zenglu
    Wang, Meijing
    Zhang, Xuejun
    Cheng, Jinpeng
    Lu, Dengming
    ENGENHARIA AGRICOLA, 2024, 44
  • [4] Measurement and Calibration of the Discrete Element Parameters of Coated Delinted Cotton Seeds
    Hu, Mengjie
    Xia, Junfang
    Zhou, Yong
    Luo, Chengming
    Zhou, Mingkuan
    Liu, Zhengyuan
    AGRICULTURE-BASEL, 2022, 12 (02):
  • [5] An ellipsoid modelling method for discrete element simulation of wheat seeds
    Lu, Caiyun
    Gao, Zhen
    Li, Hongwen
    He, Jin
    Wang, Qingjie
    Wei, Xuyang
    Wang, Xiuhong
    Jiang, Shan
    Xu, Jing
    He, Dong
    Li, Yunxiang
    BIOSYSTEMS ENGINEERING, 2023, 226 : 1 - 15
  • [6] Modelling of the drag force of agricultural seeds applied to the discrete element method
    Binelo, Manuel O.
    de Lima, Rodolfo F.
    Khatchatourian, Oleg A.
    Stransky, Jan
    BIOSYSTEMS ENGINEERING, 2019, 178 : 168 - 175
  • [7] Discrete element method approach to modelling VPP dampers
    Chodkiewicz, Pawel
    Lengiewicz, Jakub
    Zalewski, Robert
    XXII SLOVAK-POLISH SCIENTIFIC CONFERENCE ON MACHINE MODELLING AND SIMULATIONS 2017 (MMS 2017), 2018, 157
  • [8] Modelling of deformable structures in the general framework of the discrete element method
    Effeindzourou, Anna
    Chareyre, Bruno
    Thoeni, Klaus
    Giacomini, Anna
    Kneib, Francois
    GEOTEXTILES AND GEOMEMBRANES, 2016, 44 (02) : 143 - 156
  • [9] An approach to and validation of maize-seed-assembly modelling based on the discrete element method
    Chen, Zeren
    Yu, Jianqun
    Xue, Duomei
    Wang, Yang
    Zhang, Qiang
    Ren, Luquan
    POWDER TECHNOLOGY, 2018, 328 : 167 - 183
  • [10] Modelling approach for soil displacement in tillage using discrete element method
    Milkevych, Viktor
    Munkholm, Lars J.
    Chen, Ying
    Nyord, Tays
    SOIL & TILLAGE RESEARCH, 2018, 183 : 60 - 71