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Agriculture

Advances in Corn Threshing Operations: Simulation-Based Modeling Breakthrough

Strategic Insights

— 2 min read

Researchers at Shandong University of Technology, led by Jiangdong Xu, have made significant strides in understanding the complex process of corn threshing, introducing a novel simulation-based modeling approach that accurately captures the rupture force, energy relationship, and rupture process on various sides of the grain. This breakthrough is expected to optimize the design of threshing drums and potentially benefit the production of other breakable grains such as wheat and soybean.

Key Takeaways:

  • A discrete element model of corn kernels was established using the Bonding V2 method and sub-area modeling, allowing for the accurate simulation of kernel crushing and rupture forces.
  • The model was verified through stacking angle and mechanical property experiments, demonstrating a relative error of 0.31% between the simulated and actual stacking angle.
  • The maximum deviation of axial compression simulation results from the measured mean value was 22.8 N, with a minimum deviation of 3.67 N.
  • The model's accuracy was further confirmed through the simulation of rupture forces at different moisture levels, which matched the actual rupture forces with errors of 5%, 10%, and 0.6%, respectively.
  • The study provides a reference for optimizing the design of subsequent threshing devices, potentially benefiting the production of wheat and soybean.
  • The discrete element model can solve the error problem caused by the contact between the threshing element and the grain line in the actual threshing process, leading to more efficient and effective threshing operations.
  • The research has significant implications for the optimization of agricultural equipment and the improvement of crop yield and quality.

Statistics:

  • 26%, 30%, and 34% moisture content were selected for the study.
  • Three stress regions were defined based on the physical dimensions and biological structure of the maize kernel.
  • The relative error between the stacking angle test and the measured mean value was 0.31%.
  • The maximum deviation of axial compression simulation results from the measured mean value was 22.8 N.
  • The minimum deviation was 3.67 N.
  • The errors between simulated and actual rupture forces at the three force areas were 5%, 10%, and 0.6%, respectively.
  • The study involved a team of researchers from Shandong University of Technology, including Jiangdong Xu, Yanchun Yao, Yongkang Zhu, Chenxi Sun, Zhi Cao, and Duanyang Geng.

Sources:

  • Discrete Meta-Modeling Method of Breakable Corn Kernels with Multi-Particle Sub-Area Combinations. Agriculture, 2025, 15(15):1620. (Agriculture - http://www.mdpi.com/journal/agriculture).
  • National Key Research And Development Program of China; Natural Science Foundation of Shandong; Opening Fund of The National Key Laboratory of Agricultural Equipment Technology.

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