Study on the Contact Parameter Calibration of the Maize Kernel Polyhedral Discrete Element Model

被引:4
作者
Chen, Huhu [1 ]
Lin, Haipeng [1 ,2 ]
Song, Xuefeng [1 ]
Zhang, Fengwei [1 ]
Dai, Fei [1 ]
Yang, Ting [3 ]
Li, Baicheng [3 ]
机构
[1] Gansu Agr Univ, Coll Mech & Elect Engn, Lanzhou 730070, Peoples R China
[2] Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Peoples R China
[3] Gansu Aokai Agr Prod Drying Equipment Engn Res Ins, Lanzhou 730030, Peoples R China
来源
AGRICULTURE-BASEL | 2024年 / 14卷 / 09期
基金
中国国家自然科学基金;
关键词
maize kernels; polyhedron; discrete element method; parameter calibration; MECHANICAL-PROPERTIES; HOPPER DISCHARGE; PARTICLE-SHAPE; FLOW; VALIDATION; SIMULATION; COEFFICIENT;
D O I
10.3390/agriculture14091644
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
During maize production and transportation, maize kernels frequently interact with mechanical components. To accurately simulate the interaction process between maize and mechanical components, it is essential to establish a reliable maize kernel model and input precise contact parameters. This study established polyhedral discrete element models of different maize kernels and calibrated the contact parameters between maize kernels and steel plates using the inclined plane method. The coefficients of restitution, static friction, and dynamic friction between maize and steel sheets were measured to be 0.5, 0.545, and 0.213, respectively. Subsequently, the contact parameters between maize kernels were determined through steepest climb tests and central composite design response surface tests. Then, the above parameters were optimized using Design-Expert software. The coefficients of restitution, static friction, and dynamic friction between maize kernels were measured to be 0.318, 0.182, and 0.232, respectively. Finally, the optimized parameters were validated using the angle of repose experiment, which found that the relative error between the experiment and the simulation was only 1.24%. The results indicated that the obtained contact parameters were accurate and reliable.
引用
收藏
页数:15
相关论文
共 41 条
[1]   Calibration of discrete element parameters of crop residues and their interfaces with soil [J].
Adajar, Joash Bryan ;
Alfaro, Marolo ;
Chen, Ying ;
Zeng, Zhiwei .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2021, 188
[2]   Applications of Discrete Element Method in Modeling of Grain Postharvest Operations [J].
Boac, Josephine M. ;
Ambrose, R. P. Kingsly ;
Casada, Mark E. ;
Maghirang, Ronaldo G. ;
Maier, Dirk E. .
FOOD ENGINEERING REVIEWS, 2014, 6 (04) :128-149
[3]   Programming Pluripotent Precursor Cells Derived from Xenopus Embryos to Generate Specific Tissues and Organs [J].
Borchers, Annette ;
Pieler, Tomas .
GENES, 2010, 1 (03) :413-426
[4]  
[陈玉龙 Chen Yulong], 2022, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V38, P1
[5]  
[陈泽仁 Chen Zeren], 2024, [农业工程学报, Transactions of the Chinese Society of Agricultural Engineering], V40, P14
[6]   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
[7]   Predicting charge motion, power draw, segregation and wear in ball mills using discrete element methods [J].
Cleary, PW .
MINERALS ENGINEERING, 1998, 11 (11) :1061-1080
[8]   Calibration of the discrete element method [J].
Coetzee, C. J. .
POWDER TECHNOLOGY, 2017, 310 :104-142
[10]   Construction of the discrete element model for maize ears and verification of threshing simulation [J].
Cui T. ;
Jing M. ;
Zhang D. ;
Yang L. ;
He X. ;
Wang Z. .
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2023, 39 (24) :33-46