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Construction of Maize Threshing Model by DEM Simulation

Author

Listed:
  • Jiangtao Ji

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China
    Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Henan University of Science and Technology, Luoyang 471003, China
    Science & Technology Innovation Center for Completed Set Equipment, Longmen Laboratory, Luoyang 471023, China)

  • Tianci Jin

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China)

  • Qianwen Li

    (Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Henan University of Science and Technology, Luoyang 471003, China
    Science & Technology Innovation Center for Completed Set Equipment, Longmen Laboratory, Luoyang 471023, China
    School of Art and Design, Henan University of Science and Technology, Luoyang 471003, China)

  • Yuanze Wu

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China)

  • Xuezhen Wang

    (College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang 471003, China)

Abstract

This paper proposes a modeling method of maize in threshing. The static friction coefficient and rolling resistance coefficient of the maize grain were measured using the slope method. The maize grain stacking angle test was designed using the central composite design response surface test. A regression model was established based on the simulation results to find the best combination. The results suggested that the modeling method proposed in this paper was effective in improving the accuracy of maize grain simulation compared with previous methods. Furthermore, this paper presents a method to verify the feasibility and reliability of the maize grain cob discrete element model using the distribution of grain in the granary and the final removal rate as the verification method. The results of the actually simulated threshing test were analyzed using a Wilcoxon signed-rank test, heat map analysis, and the Spearman’s rank correlation coefficient. It was found that the DEM model of maize cob is suitable for simulating the maize threshing process. This can aid in further research on the subject.

Suggested Citation

  • Jiangtao Ji & Tianci Jin & Qianwen Li & Yuanze Wu & Xuezhen Wang, 2024. "Construction of Maize Threshing Model by DEM Simulation," Agriculture, MDPI, vol. 14(4), pages 1-18, April.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:4:p:587-:d:1371887
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