摘要
为提高油菜离心式精量直播机排种器田间作业的适应性，特别针对机组作业时存在倾斜、颠簸等工况，设计了一种多阶分一合分流装置。以枝状阀式分流装置为研究对象，分析了影响种子分流效果的影响要素，运用离散元仿真软件EDEM对分流装置结构形式开展了正交旋转试验，建立了集排器各行排量一致性的四元二次回归模型；利用3D打印技术加工成型枝状阀式分流装置，并与1阶分流装置进行倾斜对比试验。结果表明：枝状阀式分流装置1阶分流单元分枝长度为59．95min、2阶分流单元上部长度为66．11mm、分流角度为89．74°、管径为7．12mm时，其排种性能最优；在0°～25°倾角范围内，枝状阀式分流装置的各行排量一致性系数不大于5．71％，优于1阶分流装置，且可适应中高速（9km／h）播种作业，满足油菜种植农艺要求。
A multi-level shunt-merge distributor was investigated for improving the adaptability of centrifugal precision metering device in the field, especially under some special conditions such as incline and jolt. Some factors those influenced the performance of valve-branch distributor were analyzed. After a quadratic orthogonal rotary regression simulation test by discrete element method software EDEM, a quaternionic quadratic regression model about apiece row consistency variability coefficient of seeding quantity was established. Meanwhile, the optimized distributor was manufactured by using 3D printer. Contrast experiment was conducted by using both direct distributor and branch-valve distributor under the inclined position. The results indicated that, when the branch length of first level shunt cell was 59. 95 ram, the top length of second level shunt cell was 66. 11 ram, the angle of shunt cell was 89.74°, the inner diameter of distributor was 7. 12 mm, and the seeding performance of the centrifugal metering device for rapeseed was very well. Concerning the range of 0° to 25° inclination, apiece row consistency variability coefficient of the device was no more than 5.71% , superior to the direct distributor, and it was also applied to the medium and high-speed planting, and satisfied the agricultural requirements of rapeseed planting.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2015年第9期77-84,共8页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金资助项目(51275197
51405180)
'十二五'国家科技支撑计划资助项目(2013BAD08B02)
国家油菜产业技术体系专项资助项目(CARS-13)
中央高校基本科研业务费资助项目(2014PY033)
武汉市高新技术产业科技创新团队资助项目(2014070504020240)
关键词
油菜
集排器
分流装置
枝状阀
优化
Rapeseed Metering device Distributor Valve-branch Optimization
