Discrete element method optimisation of threshing components to reduce maize kernel damage at high moisture content

Dong, Jiaqi; Zhang, Dongxing; Yang, Li; Cui, Tao; Zhang, Kailiang; He, Xiantao; Wang, Zhendong; Jing, Maosheng

doi:10.1016/j.biosystemseng.2023.08.005

Cited by 10 publications

(1 citation statement)

References 23 publications

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“…Xia et al [15] used the discrete element method to study the material attributes (MAs), processing parameters (PPs), and quality attributes (QAs) for the milling of grinding wheels. Based on the discrete element method, Dong et al [16] determined the optimal structural parameters of the optimized threshing components from the perspective of the force in the maize threshing process. The results showed that compared with the traditional nail-tooth and rod-tooth threshing devices, the proportion of broken grain decreased by 31.80% and 46.12%, respectively, when the file-type threshing device was used.…”

Section: Introductionmentioning

confidence: 99%

Construction of Maize Threshing Model by DEM Simulation

Ji,

Jin,

et al. 2024

Agriculture

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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.

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Section: Introductionmentioning

confidence: 99%