Author
Listed:
- Mengjie Hu
(College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China)
- Junfang Xia
(College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China)
- Yong Zhou
(College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China)
- Chengming Luo
(College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China)
- Mingkuan Zhou
(College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China)
- Zhengyuan Liu
(College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Key Laboratory of Agricultural Equipment in Mid-Lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan 430070, China)
Abstract
To simulate the interactions between a pneumatic cotton precision seed-metering device and coated delinted cotton seeds accurately, physical and simulation experiments based on a rotating drum apparatus were combined to calibrate the discrete element simulation parameters of E`kangmian-10 cotton seeds. Firstly, the contact parameters and the dynamic repose angle of the cotton seeds were measured through physical tests. Based on the particle size requirement of the Discrete Element Method (DEM) and Computational Fluid Dynamics (CFD) coupling simulation and the reverse engineering technology, the cotton seed discrete element bonded-particle model (BPM) was established. Secondly, taking the contact parameters as calibration objects and the simulated dynamic repose angle as the evaluation index, a Plackett–Burman (PB) test was designed for significance screening. The results of the screening test showed that the static friction coefficient of cotton seed–tough photosensitive resin, the impact recovery coefficient of cotton seed–cotton seed, and the static friction coefficient of cotton seed–cotton seed had a highly significant effect on the simulated dynamic repose angle. Next, a Box–Behnken Design (BBD) test was adopted to establish the quadratic regression model between significant parameters and the simulated dynamic repose angle, and then the multi-factor optimization solution was carried out to obtain the optimal combination of parameters: the static friction coefficient of cotton seed–tough photosensitive resin and the impact recovery coefficient and static friction coefficient of cotton seed–cotton seed were 0.33, 0.06 and 0.10, respectively. Lastly, verification tests on the rotating drum apparatus and the seed-metering device were performed, and their relative errors were less than 2%, which indicated that the discrete element models and the contact parameters of the coated delinted cotton seeds were reliable. This study provides a reference for the selection of the discrete element parameters of coated delinted cotton seeds for DEM-CFD coupling simulation and the optimal design of precision seed-metering device for cotton.
Suggested Citation
Mengjie Hu & Junfang Xia & Yong Zhou & Chengming Luo & Mingkuan Zhou & Zhengyuan Liu, 2022.
"Measurement and Calibration of the Discrete Element Parameters of Coated Delinted Cotton Seeds,"
Agriculture, MDPI, vol. 12(2), pages 1-24, February.
Handle:
RePEc:gam:jagris:v:12:y:2022:i:2:p:286-:d:751589
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Cited by:
- Guichuan Li & Haiyu Li & Xuan Li & Zhichao Gong & Qinghua Yang & Yuxiang Huang & Zuoli Fu, 2023.
"Establishment and Calibration of Discrete Element Model for Buckwheat Seed Based on Static and Dynamic Verification Test,"
Agriculture, MDPI, vol. 13(5), pages 1-15, May.
- Bo Lu & Xiangdong Ni & Shufeng Li & Kezhi Li & Qingzheng Qi, 2022.
"Simulation and Experimental Study of a Split High-Speed Precision Seeding System,"
Agriculture, MDPI, vol. 12(7), pages 1-22, July.
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