Establishment and Research of Cotton Stalk Moisture Content-Discrete Element Parameter Model Based on Multiple Verification

被引:0
|
作者
Wu, Tao [1 ]
Yan, Limin [1 ,2 ]
Jiang, Deli [1 ]
Gou, Haixiao [1 ,2 ]
Fu, Xuanhe [1 ]
Zhang, Jinhao [1 ]
机构
[1] Shihezi Univ, Coll Mech & Elect Engn, Shihezi 832000, Peoples R China
[2] Minist Agr & Rural Affairs, Key Lab Northwest Agr Equipment, Shihezi 832000, Peoples R China
关键词
cotton stalk; water content; discrete element method; repose angle; parameter calibration; CALIBRATION;
D O I
10.3390/pr12081770
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
In view of the large difference in moisture content of cotton stalk in autumn in Xinjiang, the existing process of obtaining discrete element simulation parameters of cotton stalk is low in accuracy and complicated in operation, leading to the problems of poor universality and low accuracy in regard to the discrete element simulation parameter-calibration method in the process of mechanized transportation, throwing and returning to the field. Therefore, the experimental study on cotton stalk with different moisture content was carried out with the accumulation angle as the response value, so as to construct a parameter model that can quickly and accurately calibrate cotton stalk with different levels of moisture content. The model has high applicability and flexibility, and it can be widely used in the simulation test of various cotton field-operation machinery, such as a residual film-recycling machine, cotton picker, crushing and returning machine and other equipment. The water content-accumulation angle model was established by the cylinder-lifting method, and the correlation coefficient of the model was 0.9993. Based on EDEM 2020 software, the Hertz-Mindlin model was used to simulate the stacking angle of cotton stalk, and the rolling friction coefficient, static friction coefficient and collision recovery coefficient between cotton stalk and cotton stalk-steel were obtained. Through the Plackett-Burman test, climbing test and Box-Behnken test, three significant parameters, namely the rolling friction coefficient, static friction coefficient and static friction coefficient between cotton stalk and steel, were selected from discrete element simulation parameters to characterize the moisture content of cotton stalk, and the accumulation angle-discrete element parameter model was established. The p-value of the model was less than 0.0001, and the relative error was only 2.67%. Based on the moisture content-stacking angle model and the stacking angle-discrete element parameter model, the moisture content-discrete element parameter model was constructed. The model was verified by the cylinder-lifting method and the plate-drawing method, and the relative error was only 2.79%. Finally, the model was further verified by comparing the effect of the throwing uniformity between the mechanical simulation test and field test, and the relative error was only 4.75%. The test proves that the moisture content-discrete element parameter model is accurate and reliable, not only providing the design basis and support for the mechanization research of cotton stalk conveying and returning to the field in Xinjiang but also providing ideas for the calibration of discrete element simulation parameters of other crop straws.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] ESTABLISHMENT AND CALIBRATION OF DISCRETE ELEMENT MODEL OF KING GRASS STALK BASED ON THROWING TEST
    Huan, Xiaolong
    Wang, Decheng
    You, Yong
    Ma, Wenpeng
    Zhu, Lu
    Li, Sibiao
    INMATEH-AGRICULTURAL ENGINEERING, 2022, 66 (01): : 19 - 30
  • [2] Discrete element modeling and physical experiment research on the biomechanical properties of cotton stalk
    Zhao, Weisong
    Chen, Mingjiang
    Xie, Jianhua
    Cao, Silin
    Wu, Aibing
    Wang, Zhenwei
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 204
  • [3] Establishment and Calibration of Discrete Element Model for Buckwheat Seed Based on Static and Dynamic Verification Test
    Li, Guichuan
    Li, Haiyu
    Li, Xuan
    Gong, Zhichao
    Yang, Qinghua
    Huang, Yuxiang
    Fu, Zuoli
    AGRICULTURE-BASEL, 2023, 13 (05):
  • [4] Establishment of Discrete Element Flexible Model and Verification of Contact Parameters of Flax Stem
    Shi, Ruijie
    Dai, Fei
    Zhao, Wuyun
    Zhang, Fengwei
    Shi, Linrong
    Guo, Junhai
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2022, 53 (10): : 146 - 155
  • [5] ESTABLISHMENT AND CALIBRATION OF DISCRETE ELEMENT MODEL FOR COATED WHEAT SEED BASED ON STATIC AND DYNAMIC VERIFICATION TEST
    Zhang, Xuejun
    Guo, Ren
    Shi, Zenglu
    Yan, Jinshan
    Bai, Shenghe
    Yang, Longfei
    Yu, Yongliang
    Wang, Duijin
    INMATEH - Agricultural Engineering, 2024, 74 (03): : 370 - 379
  • [6] Establishment of Discrete Element Model and Parameter Calibration of Alfalfa Stem in Budding Stage
    Chen T.
    Yi S.
    Li Y.
    Tao G.
    Qu S.
    Li R.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2023, 54 (05): : 91 - 100
  • [7] Parameter Calibration and Experimental Verification of the Discrete Element Model of the Edible Sunflower Seed
    Zhu, Xuefeng
    Xu, Yang
    Han, Changjie
    Yang, Binning
    Luo, Yan
    Qiu, Shilong
    Huang, Xiaona
    Mao, Hanping
    AGRICULTURE-BASEL, 2025, 15 (03):
  • [8] Establishment and Verification of the Kinetics Model of Uranium Continuous Dissolution by Using Discrete Element Method
    Li, Tianchi
    Liu, Fang
    Zhou, Jia
    Zuo, Chen
    Yan, Taihong
    Zheng, Weifang
    PROCESSES, 2023, 11 (08)
  • [9] Establishment and verification of a head finite element model based on explosion injury
    Li, Tao
    Chang, Lijun
    Chen, Taiwei
    Liu, Junyuan
    Xiao, Songming
    Cai, Zhihua
    Baozha Yu Chongji/Explosion and Shock Waves, 2024, 44 (12):
  • [10] Establishment and Verification of Discrete Element Model for Seed Furrow Soil-Seed-Covering Device
    Lu Q.
    Liu F.
    Liu L.
    Liu Z.
    Liu Y.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2023, 54 (10): : 46 - 57