摘要
为探索大方捆打捆机喂入机构的运动规律,通过初步确定喂入机构的基本参数,使用SolidWorks软件得到大、小喂入叉的机构简图,建立大、小喂入叉机构的轨迹和运动方程,采用MATLAB进行编程求解,最终实现仿真分析和参数优化。经分析:小喂入叉和大喂入叉的轨迹呈腰果型,小喂入叉运动周期T 1=0.7 s,大喂入叉运动周期T′1=1.5 s,通过适当改变大喂入叉l′e长度,可提高大喂入叉在压缩室停留时间,提高预压室和压缩室内充草量,进而提高大方捆打捆机工作效率。当l′e=560 mm时,整周期内喂入秸秆量为1.744 kg,喂入效率提高13.54%,可较好地应用于农业生产。该仿真初步验证理论分析的准确性,直观清晰地描述其运动状态,为喂入机构的设计提供参考依据。
In order to explore the movement law of the feeding mechanism of the generous bale baler,through the preliminary determination of the basic parameters of the feeding mechanism,the SolidWorks software was used to obtain the schematic diagram of the large and small feeding fork mechanism,and the large and small feeding fork mechanism was established.The position equation of MATLAB was programmed and solved by MATLAB.After analysis,the trajectory of the small feeding fork and the large feeding fork is cashew-shaped,the small feeding fork has a movement cycle of T 1=0.7 s and the large feeding fork has a movement cycle of T′1=1.5 s.By appropriately changing the length of the large feeding fork l′e,the compression type of the large feeding fork can be improved.The residence time increases the pre-compression chamber and the compression type internal grass filling capacity,thereby improving the working efficiency of the generous baler.When l′e=560 mm,the amount of straw fed in the whole cycle is 1.744 kg,and the feeding efficiency is increased by 13.54%,which can be better used in agricultural production.The simulation preliminarily verified the accuracy of the theoretical analysis,described its movement state intuitively and clearly,and provided a reference for the design of the feeding mechanism.
作者
王海超
孙小添
刘瑜
裴志永
郭根胜
Wang Haichao;Sun Xiaotian;Liu Yu;Pei Zhiyong;Guo Gensheng(College of Energy and Transportation Engineering,Inner Mongolia Agricultural University,Hohhot,010018,China;College of Mechanical and Electrical Engineering,Inner Mongolia Agricultural University,Hohhot,010018,China)
出处
《中国农机化学报》
北大核心
2021年第2期31-36,共6页
Journal of Chinese Agricultural Mechanization
基金
内蒙古自治区自然科学基金项目(2019BS06003)
内蒙古自治区科技计划项目(2020GG0078)
内蒙古农业大学高层次人才科研启动项目(NDYB201857)。