CFD Simulation and Optimization of a Pneumatic Wheat Seeding Device
| Autor: | Jingxu Wang, Lu Caiyun, Qingjie Wang, Jin He, Hongwen Li, Wang Chao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Materials science
General Computer Science Nozzle Airflow Computational fluid dynamics CFD technology 01 natural sciences 010305 fluids & plasmas Acceleration 0103 physical sciences General Materials Science Electrical and Electronic Engineering response surface analysis Computer simulation Atmospheric pressure business.industry airflow field General Engineering 04 agricultural and veterinary sciences Mechanics pneumatic seeding device Wheat 040103 agronomy & agriculture Compressibility 0401 agriculture forestry and fisheries Seeding lcsh:Electrical engineering. Electronics. Nuclear engineering business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 214007-214018 (2020) |
| ISSN: | 2169-3536 |
| Popis: | To improve the performance of pneumatic wheat seeding devices with the goal of achieving pneumatic wheat seeding in soil conditions with high moisture content and heavy clay texture in rice-wheat rotation areas, a simulation optimization study of a pneumatic wheat seeding device was carried out using computational fluid dynamics. In this model, airflow was described by ANSYS Fluent software as a continuous compressible gas phase. The effects of accelerating air pressure, throat distance and nozzle diameter on the steady airflow velocity, the steady airflow length and the inlet 2 negative pressure of airflow field were studied, and a response surface analysis was applied to optimize the pneumatic wheat seeding device. The optimal parameter combination was achieved, which was an acceleration pressure of 700 kPa, a throat distance of 20 mm, a nozzle diameter of 7.2 mm and an acceleration pressure of 700 kPa. Comparative verification results showed that the steady airflow velocity, the steady airflow length and inlet 2 negative pressure of the optimized pneumatic wheat seeding device were 718 m/s, 182 mm and 0.49 kPa by simulations, which were 37%, 3% and 17% greater than those of the original device, respectively. This finding illustrates that the CFD model could describe the characteristics of airflow field well in a pneumatic seeding device and that the regression model for parameter optimization was reliable. Numerical simulation of the airflow field based on CFD approach can provide a theoretical basis for improving the operating performance of a pneumatic seeding device. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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