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BIAN Xiaodong, E-mail: 935442749@qq.com
Outline
In response to the practical issues faced in hilly areas, such as limited per capita arable land, scattered plots, rugged terrain, low efficiency of large agricultural machinery, and the occasional inconvenience of using small machinery, this paper designs a sowing device that combines a groove wheel and a sowing disk based on drone technology. The paper presents the design concept and optimization simulation plan for the combined sowing device, using rice seeds as the research subject. A discrete element method (DEM) is employed to model the rice seeds using basic unit particles. The sowing process of the device is simulated using DEM software EDEM, primarily analyzing the sowing disk structure. It is found that the angle of the sowing disk and its rotational speed significantly affect the distribution of rice seeds on the disk, while the number of blades significantly impacts the distribution of rice seeds in the air. To achieve uniform sowing, the study uses DEM to design an orthogonal experiment with three factors at three levels, focusing on the rotational speed of the sowing disk, the angle of the blades, and the number of blades. The simulation results indicate that the optimal seeding disc rotation speed of 850 r/min, deflection angle of 50° , and number of blades of 5 resulted in a uniformity coefficient of variation of 12.99%. Verification tests were conducted in three sets focusing on flight altitude, sowing amount, and flight speed. The results show that the maximum coefficient of variation for actual distribution is 24.25%, while the minimum is 15.42%. The average coefficients of variation for rice distribution corresponding to flight altitude, sowing amount, and flight speed are 17.83%, 20.90%, and 18.55%, respectively, which generally meet the agronomic requirements for rice aerial seeding. Through the research and analysis of the structural parameters, discrete element simulation, and field tests of the groove wheel and sowing disk combination, the paper identifies the optimal parameters for the operational performance of the sowing device. These parameters lay the groundwork for research on aerial seeding and its practical application in hilly areas.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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