Calibration and Experimental Validation of Discrete Element Parameters for Long-Grain Rice with Different Moisture Contents Based on Repose Angle

The accurate determination of discrete element parameters is crucial for ensuring reliable results in simulating the critical post-harvest stages of rice grain (processing, transportation, and storage) with different moisture contents. To determine the discrete element parameters, a physical model of rice grain was constructed by the multi-sphere (MS) modeling approach. Using the repose angle as the evaluation index, the discrete element parameters of rice grain were calibrated and optimized through the Plackett–Burman (PB) test, the steepest climbing test, and the Box–Behnken (BB) test using EDEM software. A moisture content–significance discrete element parameters model was further developed based on a moisture content–repose angle model (R2 = 0.992) and a repose angle–significance discrete element parameters model (R2 = 0.970). The calibration results showed that the relative error between the simulated and actual repose angle did not exceed 3.52%. Meanwhile, the cylinder lifting method and unloading mass flow rate verification were performed. And the results showed that the relative errors of the repose angle and mass flow rate of rice grain did not exceed 2.09% and 7.72%, respectively. The study provides a general and reliable method for determining the parameters of discrete element method simulation for rice grain with different moisture contents.

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Publication Details

Journal
Agriculture
Published
2025-05-14
DOI
https://doi.org/10.3390/agriculture15101058
Citations
6
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
10.50

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article

Calibration and Experimental Validation of Discrete Element Parameters for Long-Grain Rice with Different Moisture Contents Based on Repose Angle

Gang Che, Zhengfa Chen, Lin Wan, Kun Zhang et al.
6 citations
Agriculture
Rice Cultivation and Yield Improvement
10.50
article

Calibration and Experimental Validation of Discrete Element Parameters for Long-Grain Rice with Different Moisture Contents Based on Repose Angle

Gang Che, Zhengfa Chen, Lin Wan, Kun Zhang, Hongchao Wang
article en
6 citations

Abstract

The accurate determination of discrete element parameters is crucial for ensuring reliable results in simulating the critical post-harvest stages of rice grain (processing, transportation, and storage) with different moisture contents. To determine the discrete element parameters, a physical model of rice grain was constructed by the multi-sphere (MS) modeling approach. Using the repose angle as the evaluation index, the discrete element parameters of rice grain were calibrated and optimized through the Plackett–Burman (PB) test, the steepest climbing test, and the Box–Behnken (BB) test using EDEM software. A moisture content–significance discrete element parameters model was further developed based on a moisture content–repose angle model (R2 = 0.992) and a repose angle–significance discrete element parameters model (R2 = 0.970). The calibration results showed that the relative error between the simulated and actual repose angle did not exceed 3.52%. Meanwhile, the cylinder lifting method and unloading mass flow rate verification were performed. And the results showed that the relative errors of the repose angle and mass flow rate of rice grain did not exceed 2.09% and 7.72%, respectively. The study provides a general and reliable method for determining the parameters of discrete element method simulation for rice grain with different moisture contents.

AgricultureVol. 15(10)
Heilongjiang Bayi Agricultural University (CN), Heilongjiang Academy of Agricultural Machinery Engineering (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 2%
Rice Cultivation and Yield Improvement
10.50
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