Article
Agronomy
Hongcheng Li, Rong Zeng, Zhiyou Niu, Junqi Zhang
Summary: This study clarifies the movement of maize kernels during the crushing process through the use of the discrete element method (DEM). A maize kernel model was constructed and contact parameters were calibrated. The proposed methods were validated through DEM simulations and showed good accuracy.
Article
Agronomy
Long Zhou, Qiu Dong, Jianqun Yu, Yang Wang, Yulong Chen, Mingwei Li, Wenjun Wang, Yajun Yu, Jun Yuan
Summary: An appropriate contact mechanics model and parameters were explored in this study to accurately analyze the contact process between maize seeds and soil. The Edinburgh Elasto-Plastic Adhesive (EEPA) model was selected to describe the contact between seed and soil particles, and the input parameters in the EEPA model were investigated using the Plackett-Burman test. The optimized parameter combinations were obtained using the central composite design, and the accuracy of the calibrated parameters was validated through slope tests.
Article
Agricultural Engineering
Jiaqi Dong, Dongxing Zhang, Li Yang, Tao Cui, Kailiang Zhang, Xiantao He, Zhendong Wang, Maosheng Jing
Summary: A combination of numerical simulation and experimental methods was used to optimize the structure of key threshing components to reduce kernel damage during the mechanized harvesting of high moisture maize cobs. The optimal structural parameters were determined based on the force analysis using the discrete element method, and the simulation results were verified through bench tests. The optimized threshing components showed a significant reduction in broken kernels and improved working quality compared to traditional components.
BIOSYSTEMS ENGINEERING
(2023)
Review
Agronomy
Weiquan Fang, Xinzhong Wang, Dianlei Han, Xuegeng Chen
Summary: The discrete element method and simulation analysis provide a convenient and effective method for the optimal design of farming machinery, but parameter calibration is necessary to improve the reliability of simulation results.
Article
Agricultural Engineering
Xuezhen Wang, Qingkai Zhang, Yuxiang Huang, Jiangtao Ji
Summary: This study aims to provide an efficient method for accurately determining DEM parameters of loose cohesive soil under various soil conditions. The suggested method showed potential in accurately predicting soil properties and disturbances, with low relative errors.
BIOSYSTEMS ENGINEERING
(2022)
Article
Construction & Building Technology
Xue Li, Cuiping Li, Zhuen Ruan, Bingheng Yan, Hezi Hou, Long Chen
Summary: This study simulated the flow behavior of paste during the mixing process using the discrete element method and calibrated the parameters of the particle contact model. It was found that particle agglomeration affected particle motion, while van der Waals and electrostatic forces influenced particle interactions.
CONSTRUCTION AND BUILDING MATERIALS
(2022)
Article
Agronomy
Guiju Fan, Siyu Wang, Wenjie Shi, Zhenfeng Gong, Ming Gao
Summary: This study calibrated the simulation parameters of pears by combining physical experiments and simulations, establishing the accumulation angle of pears. The research analyzed the influence factors on pear accumulation angles and constructed an optimal model with reliable results.
Article
Mathematics, Interdisciplinary Applications
Dan-Dan Han, You Xu, Yu-Xia Huang, Bin He, Jian-Wu Dai, Xiao-Rong Lv, Li-Hua Zhang
Summary: The parameters of coated maize particles were calibrated and verified using the discrete element method, and the relative angle of repose inaccuracy between simulation and physical values was found to be only 0.22%. This demonstrates the correctness and dependability of the calibrated parameters.
COMPUTATIONAL PARTICLE MECHANICS
(2023)
Article
Agriculture, Multidisciplinary
Yuyuan Tian, Zhiwei Zeng, Hao Gong, Yuhao Zhou, Long Qi, Wenbin Zhen
Summary: A numerical model was developed using the Discrete Element Method to simulate the tension behavior of tobacco leaf samples. The model was calibrated to predict the tensile strength and Young's modulus of tobacco leaf with high accuracy.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Agronomy
Jinming Zheng, Lin Wang, Xiaochan Wang, Yinyan Shi, Zhenyu Yang
Summary: In this study, the discrete element parameters of cabbages were calibrated for the design and optimization of a cabbage harvester. The cabbage model was created based on the study of cabbage material characteristics and the simulation model parameters were calibrated. The calibrated parameters were applied in the verification test, showing dependable results with only a 1.63% error between the simulated and measured values of the cabbage accumulation angle. This study provides theoretical support for designing and optimizing cabbage harvesting machines using the discrete element method (DEM).
Article
Agronomy
Yang Jiang, Yurong Tang, Wen Li, Yong Zeng, Xiaolong Li, Yang Liu, Hong Zhang
Summary: This study determines the crucial parameters of thin-skinned walnut particles in classification simulation using the combination of discrete element method (DEM) and physical tests. The parameters significantly influencing the stacking angle were screened and a quadratic regression model was built to achieve the optimal parameter combination. The stacking and classification experiments verified the effectiveness of the optimal parameters and provided technological support to walnut classification simulation and parameter determination for other shell materials.
Article
Engineering, Multidisciplinary
Chenxiao Li, Chenyu Zhao, Yuan Ren, Xian He, Xiaoting Yu, Qian Song
Summary: This study proposed a free space traveling standing wave method to eliminate interference in microwave grain moisture content detection, and developed a high-precision microwave radar measurement system. The system can rapidly and non-destructively detect the moisture content of soybean and wheat with high accuracy, completing measurements in seconds.
Article
Environmental Sciences
Shenghai Huang, Caiyun Lu, Hongwen Li, Jin He, Qingjie Wang, Panpan Yuan, Jing Xu, Shan Jiang, Dong He
Summary: In order to improve the accuracy of the acoustic-soil discrete element simulation model, this study focused on the parameter calibration of the model. Sensitivity ranking of soil parameters affecting the dominant frequency and velocity of the acoustic wave was obtained using the Plackett-Burman test scheme. The regression relationship between the dominant frequency and the velocity of the sound wave and soil parameters was established using the Box-Behnken test scheme. This study provided insights into the construction accuracy of the acoustic wave-soil discrete element model and offered a reference for other fields' discrete element models.
Article
Engineering, Chemical
Zhigang Guo, Jian Yang, Shang Zhang, Zhoutuo Tan, Xing Tian, Qiuwang Wang
Summary: DEM is a powerful tool for solid granular, but requires more calibrations in heat transfer models due to simplifications. Improvements are needed in models to cover a wider range of solid-to-gas thermal conductivity ratio and dimensionless body distance. Ideal heat transfer paths may lead to larger deviations that can only be mathematically adjusted by empirical factors.
Article
Engineering, Chemical
Shilin Zhang, Feifei Yang, Jianxin Dong, Xuhui Chen, Yan Liu, Guopeng Mi, Tao Wang, Xian Jia, Yuxiang Huang, Xuezhen Wang
Summary: Discrete element simulation is an effective method for studying the interaction between tillage components and work objects. This study developed discrete element models for maize root and maize root-soil mixture, providing valuable references for simulating the farmland environment under a no-tillage system.
Article
Agricultural Engineering
Yifan Bai, Junzhen Yu, Shuqin Yang, Jifeng Ning
Summary: A real-time recognition algorithm (Improved YOLO) is proposed in this paper for accurately identifying small, similar-colored, and overlapping strawberry seedling flowers and fruits. The experimental results show that the algorithm achieves high precision, recall, and average precision, and meets the real-time detection requirements, providing effective support for the automated management of strawberry seedling flower and fruit thinning.
BIOSYSTEMS ENGINEERING
(2024)
