Calibration of discrete element simulation parameters and threshing test for complete wheat plants

Authors

  • Shengsheng Wang 1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China 2. Longmen Laboratory, Luoyang 471023, China
  • Weizhen Lyu 1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
  • Xin Jin 1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China 2. Longmen Laboratory, Luoyang 471023, China
  • Shuo Yu 1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
  • Hao Guo 1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
  • Zhonghan Chen 1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China

DOI:

https://doi.org/10.25165/ijabe.v18i3.9467

Keywords:

discrete element method, wheat plant, glume model, parameter calibration, threshing experiments

Abstract

The existing discrete element model of wheat plants lacks the glume, which hinders the simulation of the entire threshing process. To address this issue, this paper takes wheat at the harvest stage as the research object and constructs a complete discrete element model of wheat plants with glumes based on the Hertz-Mindlin with bonding model in the EDEM simulation software. The parameter calibration of wheat glumes discrete element model is studied through collision bounce experiments, slope experiments, and accumulation experiments. The results show that the coefficient of restitution, coefficient of static friction, and coefficient of rolling friction between glume and steel are 0.488, 0.625, and 0.048, respectively, and the coefficient of restitution, coefficient of static friction, and coefficient of rolling friction between glume and glume are 0.232, 0.966, and 0.059, respectively. The relative errors between the simulation results and the measured values are less than 5%, and the calibration parameters are effective. Based on the structural parameters of the self-developed experiment-bed of tangential axial-flow grain threshing device, a three-dimensional model of the wheat threshing device is established to simulate the whole threshing process of the complete wheat plant, and the bench-scale experiments are carried out with the non-threshing rate as the performance index. The results indicate that the model can completely simulate the separation process of glume and grain and the movement law of different grains, and the relative error of non-threshing rate between the simulation experiments and bench-scale experiments is 4.36%. This further demonstrates that the proposed model can provide a reference for the wheat threshing process research and device performance optimization design. Keywords: discrete element method, wheat plant, glume model, parameter calibration, threshing experiments DOI: 10.25165/j.ijabe.20251803.9467 Citation: Wang S S, Lyu W, Jin X, Yu S, Guo H, Chen Z H. Calibration of discrete element simulation parameters and threshing test for complete wheat plants. Int J Agric & Biol Eng, 2025; 18(3): 12–18.

References

Fu H,Wang C R,Jin C,et al. Research on a modeling method for mature wheat plants. Journal of Northeast Normal University,2017;49(2):69-75.

Yu Q X,Liu Y, Chen X B,et al. Calibration and Experiment of Simulation Parameters for Panax notoginseng Seeds Based on DEM. Transactions of the Chinese Society for Agricultural Machinery,2020;51(2):123-131.

Cui T, Jing M S, Zhang D X,et al. Construction of the discrete element model for maize ears and verification of threshing simulation. Transactions of the Chinese Society of Agricultural Engineering,2023;39(24):33-46.

Jia H L,Deng J Y,Deng Y L,et al. Contact parameter analysis and calibration in discrete element simulation of rice straw. Int J Agric & Biol Eng,2021;14(4):72–81.

Li X K，Han Z S，DAI F,et al. Simulation research on working parameters of threshing device on plot-bred wheat based on EDEM. Agricultural Research in the Arid Areas,2016;34(4):292-298.

Wang W Z,Liu W R,Yuan L H,et al. Calibration of discrete element parameters of wheat plants at harvest period based on EDEM. Journal of Henan Agricultural University,2021;55(1):64-72.

Dai F,Song X F,Zhao W Y,et al. Motion simulation and test on threshed grains in tapered threshing and transmission device for plot wheat breeding based on CFD-DEM. Int J Agric & Biol Eng,2019;12(1):66–73.

Yuan J B,Wang J F,Li H, et al. Optimization of the cylindrical sieves for separating threshed rice mixture using EDEM. Int J Agric & Biol Eng,2022;15(2):236–247.

Dai F,Song X F,Shi R J,et al. Movement law of the threshing material in threshing and cleaning machine for plot-bred wheat. Int J Agric & Biol Eng,2022;15(3):100–106.

Sun Q H,Li G Y,Wang Y,et al. Research Situation and Prospect of Rice and Wheat Breeding Harvesters. Agricultural Engineering,2020;10(03):7-11.

JB Adajar,M Alfaro,Y Chen. Calibration of discrete element parameters of crop residues and their interfaces with soil. Computers and Electronics in Agriculture,2021;188:106-113.

M Schramm,MZ Tekeste. Wheat straw direct shear simulation using discrete element method of fibrous bonded model. Biosystems Engineering,2022;396:1-12.

Zhang Z G,Zeng C,Xing Z Y,et al. Discrete element modeling and parameter calibration of safflower biomechanical properties. Int J Agric & Biol Eng,2024;17(2):37–46.

Hao J J,Wei W B,Huang P C,et al. Calibration and experimental verification of discrete element parameters of oil sunflower seeds. Transactions of the Chinese Society of Agricultural Engineering,2021;37(12):36-44.

Chen L,Yu N H,Wang L Z,et al.Measurement of Contact Parameters and Discrete Element

Simulation Calibration of Rice Bran and Broken Rice. Journal of Agricultural Science and Technology,2024;26(2):127-136.

Liang R Q,Chen X G,Zhang B C,et al. Calibration and test of the contact parameters for chopped cotton stems based on discrete element method. Int J Agric & Biol Eng,2022;15(5):1–8.

Zhang X J,Wang H T,Wang F Y,et al. Parameter calibration of discrete element model for alfalfa seeds based on EDEM simulation experiments. Int J Agric & Biol Eng,2024;17(3):33–38.

Xie K T,Zhang Z G,Wang F. Calibration and experimental verification of discrete element parameters of Panax notoginseng root. Int J Agric & Biol Eng,2024;17(4):13–23.

Zhu K,Hui Y B,Zhou Y,et al. Construction of Wheat Grain Model and Calibration of Discrete Element Paramaters Based on X-Ray Tomography. Journal of the Chinese Cereals and Oils Association,2022;37(9):218-223.

Zhang W L,Wu W B,Lv S J,et al. Experimental calibration of wheat mechanical parameters and contact parameters in milling. Journal of Henan University of Technology,2023;44(2):105-

Liu F Y,Zhang J,Chen J. Modeling of flexible wheat straw by discrete element method and its parameters calibration. Int J Agric & Biol Eng,2018;11(3):42–46.

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Published

2025-06-30

How to Cite

Wang, S., Lyu, W., Jin, X., Yu, S., Guo, H., & Chen, Z. (2025). Calibration of discrete element simulation parameters and threshing test for complete wheat plants. International Journal of Agricultural and Biological Engineering, 18(3), 12–18. https://doi.org/10.25165/ijabe.v18i3.9467

Issue

Vol. 18 No. 3 (2025): IJABE

Section

Applied Science, Engineering and Technology

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