Calibration and optimization of discrete element method parameter of <i>Pinus koraiensis</i> seeds

The development of food processing equipment for Pinus koraiensis seeds has been limited by insufficient data on physical and contact properties. This study obtained dimensional and mechanical characteristics of the seeds through experiments and theoretical analysis. A 3D morphological model was reconstructed via imaging, and a bonded multi-sphere discrete element model (DEM) was created using a virtual–physical transformation filling method. Contact parameters between seeds and steel were calibrated through combined tests, yielding a restitution coefficient of 0.327, static friction coefficient of 0.260, and rolling friction coefficient of 0.140. Key factors affecting repose angle were identified using Plackett–Burman design and optimized via the steepest ascent method. A Box–Behnken design produced optimal inter-seed contact parameters: restitution 0.334, static friction 0.340, and rolling friction 0.021. The minimal relative error between simulated and experimental repose angles was 1.52%. DEM accuracy was validated further, showing that over 131 sub-spheres kept simulation error below 5% while ensuring computational efficiency. This study offers a reliable DEM and calibrated parameters for simulating cleaning, conveying, screening, feeding, and shell-breaking of P. koraiensis seeds, and serves as a reference for modeling other irregularly shaped agricultural materials.

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Publication Details

Journal
International Journal of Food Properties
Published
2025-06-06
DOI
https://doi.org/10.1080/10942912.2025.2503354
Citations
3
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
2.86
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article

Calibration and optimization of discrete element method parameter of Pinus koraiensis seeds

Hailin Kui, Zhongjun Hu, Xiangyu Liu, Chun Wang et al.
3 citations
International Journal of Food Properties
Soil Mechanics and Vehicle Dynamics
2.86
article

Calibration and optimization of discrete element method parameter of Pinus koraiensis seeds

Hailin Kui, Zhongjun Hu, Xiangyu Liu, Chun Wang, Yongchao SHAO
article en
3 citations

Abstract

The development of food processing equipment for Pinus koraiensis seeds has been limited by insufficient data on physical and contact properties. This study obtained dimensional and mechanical characteristics of the seeds through experiments and theoretical analysis. A 3D morphological model was reconstructed via imaging, and a bonded multi-sphere discrete element model (DEM) was created using a virtual–physical transformation filling method. Contact parameters between seeds and steel were calibrated through combined tests, yielding a restitution coefficient of 0.327, static friction coefficient of 0.260, and rolling friction coefficient of 0.140. Key factors affecting repose angle were identified using Plackett–Burman design and optimized via the steepest ascent method. A Box–Behnken design produced optimal inter-seed contact parameters: restitution 0.334, static friction 0.340, and rolling friction 0.021. The minimal relative error between simulated and experimental repose angles was 1.52%. DEM accuracy was validated further, showing that over 131 sub-spheres kept simulation error below 5% while ensuring computational efficiency. This study offers a reliable DEM and calibrated parameters for simulating cleaning, conveying, screening, feeding, and shell-breaking of P. koraiensis seeds, and serves as a reference for modeling other irregularly shaped agricultural materials.

International Journal of Food PropertiesVol. 28(1)
Jilin University (CN), Northwest Institute of Mechanical and Electrical Engineering (CN), Jilin Medical University (CN), Jilin Agricultural University (CN), Northwest A&F University (CN)
Zero hunger
Openalex Percentile: Top 10%
Soil Mechanics and Vehicle Dynamics
2.86
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Calibration and optimization of discrete element method parameter of <i>Pinus koraiensis</i> seeds — Hailin Kui, Zhongjun Hu, et al. · International Journal of Food Properties (2025) | TGRS Research Map | TGRS