Calibration method and experimental verification of corn discrete element parameters

被引:0
作者
Liang, Weiqiang [1 ,2 ]
Meng, Wenjun [1 ]
Zhang, Biao [1 ]
Zhang, Hanzhong [1 ,2 ]
Jin, Yangfei [1 ]
Zhang, Jin [3 ]
机构
[1] Taiyuan Univ Sci & Technol, Sch Mech Engn, Shanxi Key Lab Intelligent Logist Equipment, Taiyuan 030024, Peoples R China
[2] Shanxi Vocat Univ Engn Sci & Technol, Sch Automot Engn, Jinzhong 030619, Peoples R China
[3] Zhejiang Inst Commun, Sch Rail Traff, Hangzhou 321017, Peoples R China
基金
中国国家自然科学基金;
关键词
corn; grain silo robot; discrete element method; repose angle; parameter calibration; verification; MODEL PARAMETERS; VALIDATION;
D O I
10.1088/1361-6501/adcad8
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The calibration of discrete element contact parameters for corn is an important foundation for studying the interaction mechanism between grain silo robots and corn grain surfaces. The corn betwixt contact parameters were calibrated using the Box-Behnken experiment, with the corn betwixt repose angle as the response variable. Preliminary calibration of the contact parameters of corn-polylactic acid (PLA) was conducted through free-fall tests, as well as inclined sliding and rolling test. Using the principle of equivalence, experiments on the corn-PLA angle of repose were performed using the lifting and lateral collapse methods, leading to the establishment of a mathematical regression model to optimise the combination of corn-PLA contact parameters. The results indicated that the combination error of the corn betwixt contact parameters is 1.70%; the restitution coefficient of corn-PLA is 0.528, the static friction coefficient is 0.418, the rolling friction coefficient is 0.0383 and the verification error of the angle of repose is 2.58%, which is 3.83% lower than that before optimisation. Finally, the accuracy of the discrete element method model was experimentally confirmed using the driving velocity, displacement, body pitch angle and sinkage of the grain silo robot as indicators.
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页数:15
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  • [1] A systematic evaluation of DEM input parameters measurement and calibration
    Brandao, R. J.
    Calheiros, C. J. P.
    Machado, M. V. C.
    Lima, R. M.
    Duarte, C. R.
    Barrozo, M. A. S.
    [J]. POWDER TECHNOLOGY, 2024, 448
  • [2] Study on the Contact Parameter Calibration of the Maize Kernel Polyhedral Discrete Element Model
    Chen, Huhu
    Lin, Haipeng
    Song, Xuefeng
    Zhang, Fengwei
    Dai, Fei
    Yang, Ting
    Li, Baicheng
    [J]. AGRICULTURE-BASEL, 2024, 14 (09):
  • [3] A numerical sensitivity study - The effectiveness of RFID-based ore tracking through a simulated coarse ore stockpile and the impacts of key process variables
    Chen, Juan
    Lu, Tien-Fu
    Peukert, Dylan
    Dowd, Peter
    [J]. POWDER TECHNOLOGY, 2023, 429
  • [4] Particle upscaling: Calibration and validation of the discrete element method
    Coetzee, C. J.
    [J]. POWDER TECHNOLOGY, 2019, 344 : 487 - 503
  • [5] A calibration framework for discrete element model parameters using genetic algorithms
    Do, Huy Q.
    Aragon, Alejandro M.
    Schott, Dingena L.
    [J]. ADVANCED POWDER TECHNOLOGY, 2018, 29 (06) : 1393 - 1403
  • [6] Research and Prediction of Wear Characteristics of Alfalfa Densification Die Based on the Discrete Element Method
    Du, Haijun
    Du, Hailong
    Ma, Yanhua
    Su, He
    Xuan, Chuanzong
    Xue, Jing
    [J]. AGRICULTURE-BASEL, 2024, 14 (08):
  • [7] Simulation and analysis of propulsive performance for screw propulsion inspection robot
    Gao, Kuidong
    Wei, Hongxin
    Xu, Weipeng
    Meng, Zhaosheng
    Sun, Xianyou
    Sun, Liqing
    [J]. POWDER TECHNOLOGY, 2024, 434
  • [8] Regolith Excavation Performance of a Screw-Propelled Vehicle
    Green, Marko
    McBryan, Teresa
    Mick, Darwin
    Nelson, David
    Marvi, Hamid
    [J]. ADVANCED INTELLIGENT SYSTEMS, 2023, 5 (03)
  • [9] Design and simulation for seeding performance of high-speed inclined corn metering device based on discrete element method (DEM)
    Guo Jun
    Yang Yue
    Memon, Muhammad Sohail
    Tan Chuang
    Wang Linyu
    Tang Pei
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [10] Analysis of the relationship between the transferred charge signal and the particle collision in pneumatic transport based on CFD-DEM (vol 35, 055103, 2024)
    Jia, Lin
    Chi, Lei
    Su, Xujun
    Yu, Guibo
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 2024, 35 (06)