面向智能制造的多种作物收割机效率优化研究

Research on Efficiency Optimization of Crop Harvester for Intelligent Manufacturing

通过对块茎类作物自动化收割时的分离除杂效果和作物损伤数据进行分析,采用参数化智能设计制造的方式,设计了一种能够自动进行挖掘、振动分离除杂以及低位平铺的块茎类作物收割机。同时,建立作物分离过程中的动力学方程和运动学方程,确定最优的结构设计参数。最后,在不同的行进速度条件下,对不同的作物进行收割试验,结果表明:当行进速度为2m/s时,多种块茎作物收割机的作业效率最高。

Through the analysis of the separation and removal effect and crop damage data in the automatic harvesting of tuber crops,designs a kind of tuber crop harvester which can automatically dig,vibration and remove impurities and low level planing,and establishes the dynamic and kinematic equations in the process of crop separation,and determines the optimal one The results show that the efficiency of the harvester is the highest when the traveling speed is 2m/s.