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

被引:0
作者
Wang, Chun [1 ]
Hu, Zhizheng [1 ]
Liu, Xiangyu [1 ]
Kui, Hailin [1 ]
Shao, Yongchao [2 ]
机构
[1] Jilin Univ, Coll Biol & Agr Engn, Changchun 130000, Jilin, Peoples R China
[2] Northwest A&F Univ, Coll Mech & Elect Engn, Xianyang, Peoples R China
关键词
Discrete element; Parameter calibration; Pinus koraiensis seeds; Repose angle; Response surface; MODEL;
D O I
10.1080/10942912.2025.2503354
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
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.
引用
收藏
页数:20
相关论文
共 30 条
[1]   Moisture content characterization method of wet particles of brown rice based on discrete element simulation [J].
Bai, Jinyin ;
Xie, Biao ;
Yan, Jiagang ;
Zheng, Yun ;
Liu, Nian ;
Zhang, Qiang .
POWDER TECHNOLOGY, 2023, 428
[2]   Contact Parameter Calibration for Discrete Element Potato Minituber Seed Simulation [J].
Chen, Kai ;
Yin, Xiang ;
Ma, Wenpeng ;
Jin, Chengqian ;
Liao, Yangyang .
AGRICULTURE-BASEL, 2024, 14 (12)
[3]   Projecting the future redistribution of Pinus koraiensis (Pinaceae: Pinoideae: Pinus) in China using machine learning [J].
Chen, Xin ;
Xiao, Kaitong ;
Deng, Ruixiong ;
Wu, Lin ;
Cui, Lingjun ;
Ning, Hang ;
Ai, Xunru ;
Chen, Hui .
FRONTIERS IN FORESTS AND GLOBAL CHANGE, 2024, 7
[4]   An approach to and validation of maize-seed-assembly modelling based on the discrete element method [J].
Chen, Zeren ;
Yu, Jianqun ;
Xue, Duomei ;
Wang, Yang ;
Zhang, Qiang ;
Ren, Luquan .
POWDER TECHNOLOGY, 2018, 328 :167-183
[5]   Calibration of the discrete element method and the effect of particle shape [J].
Coetzee, C. J. .
POWDER TECHNOLOGY, 2016, 297 :50-70
[6]   Fast and precise DEM parameter calibration for Cucurbita ficifolia seeds [J].
Ding, Xinting ;
Wang, Binbin ;
He, Zhi ;
Shi, Yinggang ;
Li, Kai ;
Cui, Yongjie ;
Yang, Qichang .
BIOSYSTEMS ENGINEERING, 2023, 236 :258-276
[7]  
Fan R, 2021, INMATEH-AGRIC ENG, V64, P467, DOI [10.356.33/inmateh-64-46, 10.35633/inmateh-64-46]
[8]   Comparative study on the chloroplast genomes of five Larix species from the Qinghai-Tibet Plateau and the screening of candidate DNA markers [J].
Guo, Qiqiang ;
Li, Huie ;
Qian, Zengqiang ;
Lu, Jie ;
Zheng, Weilie .
JOURNAL OF FORESTRY RESEARCH, 2021, 32 (05) :2219-2226
[9]   Variation in cone, seed, and kernel nutritional components traits of Pinus koraiensis [J].
Hou, Dan ;
Zhang, Li ;
Wang, Jinning ;
Li, Jinquan ;
Zhao, Changhai ;
Li, Zhixin ;
Zhang, Hanguo .
SILVAE GENETICA, 2021, 70 (01) :205-216
[10]   Review and extension of normal force models for the Discrete Element Method [J].
Kruggel-Emden, H. ;
Simsek, E. ;
Rickelt, S. ;
Wirtz, S. ;
Scherer, V. .
POWDER TECHNOLOGY, 2007, 171 (03) :157-173