摘要
针对残膜回收作业中回收率低,含杂率高等问题设计一种挑膜分杂式残膜回收机,并设计一种可完成在入土前工作行程挑起较多的残膜,后工作行程分离秸秆等杂质的新型椭圆规式挑膜捡拾机构。通过理论分析和建立机构数学以及运动模型,调用Matlab遗传算法优化工具箱确定机构几何参数,运用Adams建立该几何参数下的机构模型并对回收作业进行仿真分析,得到较优的工作曲线;仿真表明,各项参数均满足残膜回收要求,当机具的前进速度为3.6 km/h,挑膜机构的旋转角速度为6.28 rad/s时,在圆周运动周期内的弧长值为2.308 45 m,增长率为12.27%,挑膜区域面积为2.04×10~6 mm^2,有效区域增长为33.34%;入土轨迹斜率偏差降低34.68%,出土轨迹斜率偏差降低4.09%,残膜回收率为90.3%。
Aiming at the problems of low recovery rate and high impurity rate in the residual film recycling operation,a membrane-removing residual film recovery machine was designed and a residual film that can be provoked before the work is completed and worked.A new elliptical gauge picking mechanism that shakes off impurities such as straw was also designed.Through theoretical analysis and establishment of institutional mathematics and motion model.Matlab genetic algorithm optimization toolbox is called to determine the geometric parameters of the mechanism.The mechanism simulation model under the geometric parameters is established by Adams,the recovery operation is simulated and analyzed to obtain a better working curve.The simulation results show that all the parameters meet the residual film recovery requirements.The forward speed of the machine is 3.6 km/h,the rotation speed of the picking mechanism is 6.28 rad/s,and the arc length in a circular motion cycle is 2.308 45 mm,the growth rate is 12.27%,the area of the film-receiving area is 2.04×10~6 mm^2,and the effective area growth is 33.34%.The slope deviation of the in-situ track is reduced by 34.68%,the slope deviation of the unearthing track is reduced by 4.09%and the residual film recovery rate is 90.3%.
作者
李姝卓
周勇
王昊
毕新胜
李娟娟
董剑豪
Li Shuzhuo;Zhou Yong;Wang Hao;Bi Xinsheng;Li Juanjuan;Dong Jianhao(College of Mechanical and Electrical Engineering of Shihezi University,Shihezi,832000,China;Xinjiang Uygur Autonomous Region Inspection Institute,Urumqi,830000,China)
出处
《中国农机化学报》
北大核心
2019年第7期165-170,182,共7页
Journal of Chinese Agricultural Mechanization
基金
国家自然科学基金资助项目(51465050)
关键词
残膜
挑膜捡拾机构
椭圆规
遗传算法
residual film
picking mechanism
elliptical gauge
genetic algorithm