Modeling Method of Corn Kernel Based on Discrete Element Method and Its Experimental Study

Jie Zhang, Xinming Jiang () and Yajun Yu ()
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Jie Zhang: College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China
Xinming Jiang: College of Engineering and Technology, Jilin Agricultural University, Changchun 130118, China
Yajun Yu: School of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China

Agriculture, 2024, vol. 14, issue 12, 1-24

Abstract: Due to the complex shape of corn kernels and the large difference in size, in order to establish a more realistic model of corn kernels, this paper tests and analyzes two representative corn varieties planted in Northern China, and each variety is divided into high and low moisture content as the research object. According to its natural shape, the corn kernels are subdivided into four categories: wide horse-tooth shape, narrow horse-tooth shape, pyramid shape and spherical shape. The geometric parameters are tested and analyzed, and the correlation between the characteristic dimensions is obtained. Through the Rocky software, the polyhedral modeling method was used to establish the corn kernel models of different shapes, and the contact parameters and mechanical parameters were measured and calibrated, which were used as the basis for the modeling of corn kernel groups. Finally, through the simulation analysis of the corn kernel accumulation process and the comparison of the test results, the influence of different contact parameters on the simulation test results is explored, and the influence trend of the simulation results is analyzed. The feasibility and accuracy of the corn kernel population model established by the polyhedron method used in this paper are verified, which provides a reference for studying the simulation parameters of corn kernel population modeling.

Keywords: agricultural engineering; discrete element method; corn kernels; Rocky DEM (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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