Axial separation simulation analysis and experiment of maize seed cylinder grading: A study on axial analysis

This study conducted a simulation analysis of the seed grading process to address the challenges of excessive dependence on empirical parameter adjustments, low grading efficiency, and operational instability in maize cylinder grading systems. After determining the relevant characteristic parameters of maize seeds and the grading cylinder, discrete element models were established using EDEM software. The simulation investigated axial mean velocity, intra-cylinder quantity distribution, and post-sieving quantity distribution of seeds under varying cylinder speeds (14-22 r/min), inclination angles (0°-4°), and feeding rates (1,150-1,350 g/s). Orthogonal experiments and range analysis were conducted to determine the significance hierarchy of factors: for qualification rate, cylinder speed > inclination angle > feeding rate. For productivity, inclination angle > feeding rate > cylinder speed. The optimal parameter combination was cylinder speed 16 r/min, inclination angle 0°, and feeding rate 1,300 g/s. At this point, the qualification rate was 93.21%, and the productivity was 1,033 g/s. Using the optimal combination for validation experiments, the obtained qualification rate was 90.15%, and the productivity was 985 g/s. The relative errors between the experimental values and the predicted values were less than 5%, validating the simulation's reliability and providing critical engineering implications for industrial seed grading optimization.

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Publication Details

Journal
PLoS ONE
Published
2025-11-21
DOI
https://doi.org/10.1371/journal.pone.0337035
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
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article

Axial separation simulation analysis and experiment of maize seed cylinder grading: A study on axial analysis

Chenyang Sun, Weiwen Luo, Hai Wei, Zhaoyan You et al.
PLoS ONE
Soil Mechanics and Vehicle Dynamics
article

Axial separation simulation analysis and experiment of maize seed cylinder grading: A study on axial analysis

Chenyang Sun, Weiwen Luo, Hai Wei, Zhaoyan You, Huanxiong Xie, Huijuan Zhang, Ni Wang, Jianchun Yan, Jiannan Wang
article en

Abstract

This study conducted a simulation analysis of the seed grading process to address the challenges of excessive dependence on empirical parameter adjustments, low grading efficiency, and operational instability in maize cylinder grading systems. After determining the relevant characteristic parameters of maize seeds and the grading cylinder, discrete element models were established using EDEM software. The simulation investigated axial mean velocity, intra-cylinder quantity distribution, and post-sieving quantity distribution of seeds under varying cylinder speeds (14-22 r/min), inclination angles (0°-4°), and feeding rates (1,150-1,350 g/s). Orthogonal experiments and range analysis were conducted to determine the significance hierarchy of factors: for qualification rate, cylinder speed > inclination angle > feeding rate. For productivity, inclination angle > feeding rate > cylinder speed. The optimal parameter combination was cylinder speed 16 r/min, inclination angle 0°, and feeding rate 1,300 g/s. At this point, the qualification rate was 93.21%, and the productivity was 1,033 g/s. Using the optimal combination for validation experiments, the obtained qualification rate was 90.15%, and the productivity was 985 g/s. The relative errors between the experimental values and the predicted values were less than 5%, validating the simulation's reliability and providing critical engineering implications for industrial seed grading optimization.

PLoS ONEVol. 20(11)
Jiangsu Academy of Agricultural Sciences (CN), Ministry of Agriculture and Rural Affairs (CN), Nanjing Institute of Agricultural Mechanization (CN)
Openalex Percentile: Top 63%
Soil Mechanics and Vehicle Dynamics
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