Establishment and Parameter Calibration of a DEM-Based Contact Model for Leymus chinensis Seed–Straw Mixtures

The study of Leymus chinensis seed cleaning has been hindered by the lack of accurate discrete-element contact parameters for seed–straw interactions, thereby limiting, to some extent, the optimization of cleaning equipment. To address this issue, the present study analyzed a mixture of L. chinensis seeds and straw, and determined their fundamental physical and contact parameters via laboratory experiments. The Hertz–Mindlin (no slip) discrete element simulation model was employed to calibrate the parameters of the seed–straw mixture. A Plackett–Burman test was used to identify key factors significantly affecting the repose angle, including the seed–seed static friction coefficient and the seed–straw static and dynamic friction coefficients. These factors’ optimal ranges were further refined using steepest ascent experiments. A Box–Behnken design was used to optimize contact parameters, resulting in the following values: a seed–seed static friction coefficient of 0.709, a seed–straw static friction coefficient of 0.281, and a seed–straw dynamic friction coefficient of 0.085. Validation experiments demonstrated an error of less than 2.14%, confirming the reliability of the calibrated parameters. This study offers a theoretical foundation for discrete element simulations in L. chinensis seed cleaning applications.

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Publication Details

Journal
Applied Sciences
Published
2025-10-17
DOI
https://doi.org/10.3390/app152011163
Primary Topic
Polysaccharides Composition and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Establishment and Parameter Calibration of a DEM-Based Contact Model for Leymus chinensis Seed–Straw Mixtures

Wang Dong, Qihao Wan, Fei Liu, Yan Ren et al.
Applied Sciences
Polysaccharides Composition and Applications
article

Establishment and Parameter Calibration of a DEM-Based Contact Model for Leymus chinensis Seed–Straw Mixtures

Wang Dong, Qihao Wan, Fei Liu, Yan Ren, Qi Yin, Anbin Zhang, Yingsi Wu
article en

Abstract

The study of Leymus chinensis seed cleaning has been hindered by the lack of accurate discrete-element contact parameters for seed–straw interactions, thereby limiting, to some extent, the optimization of cleaning equipment. To address this issue, the present study analyzed a mixture of L. chinensis seeds and straw, and determined their fundamental physical and contact parameters via laboratory experiments. The Hertz–Mindlin (no slip) discrete element simulation model was employed to calibrate the parameters of the seed–straw mixture. A Plackett–Burman test was used to identify key factors significantly affecting the repose angle, including the seed–seed static friction coefficient and the seed–straw static and dynamic friction coefficients. These factors’ optimal ranges were further refined using steepest ascent experiments. A Box–Behnken design was used to optimize contact parameters, resulting in the following values: a seed–seed static friction coefficient of 0.709, a seed–straw static friction coefficient of 0.281, and a seed–straw dynamic friction coefficient of 0.085. Validation experiments demonstrated an error of less than 2.14%, confirming the reliability of the calibrated parameters. This study offers a theoretical foundation for discrete element simulations in L. chinensis seed cleaning applications.

Applied SciencesVol. 15(20)
Inner Mongolia Agricultural University (CN), Chinese Academy of Agricultural Sciences (CN), Institute of Grassland Research (CN)
Natural Science Foundation of Inner Mongolia
Openalex Percentile: Top 65%
Polysaccharides Composition and Applications
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Establishment and Parameter Calibration of a DEM-Based Contact Model for Leymus chinensis Seed–Straw Mixtures — Wang Dong, Qihao Wan, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS