Author
Listed:
- Peng Chen
(College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China)
- Tianci Huang
(College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China)
- Bei Wu
(College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Hunan Key Laboratory of Intelligent Agricultural Machinery and Equipment, Changsha 410128, China)
- Huaiyuan Qian
(College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China)
- Fangping Xie
(College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Hunan Key Laboratory of Intelligent Agricultural Machinery and Equipment, Changsha 410128, China)
- Baohua Liu
(College of Water Resources & Civil Engineering, Hunan Agricultural University, Changsha 410128, China)
- Dawei Liu
(College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Hunan Key Laboratory of Intelligent Agricultural Machinery and Equipment, Changsha 410128, China)
- Xu Li
(College of Mechanical and Electrical Engineering, Hunan Agricultural University, Changsha 410128, China
Hunan Key Laboratory of Intelligent Agricultural Machinery and Equipment, Changsha 410128, China)
Abstract
Developing a flow rate model for the screw feeder and optimizing discharge performance are crucial for achieving automated intelligent precision feeding. This study constructs a mass flow rate model for screw conveyors, considering the coupled structural parameters of the hopper and screw conveyor. The model is developed using single-factor tests and central composite design (CCD) response surface tests and is validated through actual discharge tests. Results indicate that the discharge rate in the hopper–screw conveyor system is primarily influenced by the screw conveyor itself. Among the structural parameters, the hopper inclination angle and the hopper discharge opening length significantly affect the filling coefficient. Validation tests show an average error of 6.8% between the predicted and simulated mass flow rates and 5.0% with the actual mass flow rate, demonstrating the model’s high precision and accuracy.
Suggested Citation
Peng Chen & Tianci Huang & Bei Wu & Huaiyuan Qian & Fangping Xie & Baohua Liu & Dawei Liu & Xu Li, 2024.
"Modeling the Discharge Rate of a Screw Conveyor Considering Hopper–Conveyor Coupling Parameters,"
Agriculture, MDPI, vol. 14(7), pages 1-16, July.
Handle:
RePEc:gam:jagris:v:14:y:2024:i:7:p:1203-:d:1440119
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