摘要
为提高和改善插秧机的工作效率与整体插秧质量,对广泛应用于水稻行业的高速插秧机核心部件进行优化改进。针对插秧机的插秧机构的工作特性,从非圆齿轮机构的运动学与动力学模型角度出发,建立了插秧部件的数学模型,并在此基础上得到整体三维物理模型;对于插秧机的移箱机构核心部件螺旋轴进行结构化参数改进,融入目标函数优化理论利用Mat Lab编制程序得出最优组合。同时,利用ADAMS进行仿真试验,结果表明:在前置条件设置合理与准确的前提下,得出的关键点运动轨迹与速度、加速度及位移等相关参数与改进设计相符,证明插秧机核心部件改进的合理性与可行性。此优化改进方法与结论对于相关学者进行深入研究有一定的参考价值,亦可为实际水稻插秧机制造与创新提供理论依据。
In order to more specific improve the working efficiency and the overall transplanting quality of the rice transplanter;the core components of the high-speed transplanter widely used in the rice industry are optimized.According to the working characteristics of the transplanting mechanism of rice transplanter,starting from the point view of kinematics and dynamics model of non-circular gear mechanism,the mathematical model of the planting components are established and the overall three-dimensional physical model also are obtained on the basis of it;The structural parameter improvement of the screw axis which belongs to the core part of the moving box device of the transplanter is optimized,and the most optimal combination is obtained by integrating the optimization theory of the objective function with MATLAB;then we carried out the simulation test by using ADAMS software,and the simulation result showed that it is concluded that the key point trajectory and the related parameters such as velocity,acceleration and displacement were consistent with the design and improvement under the premise of the reasonable and accurate precondition setting,which optimization method and the conclusions would be some reference value for the related scholars on the further study,and this also could provide theoretical basis for the manufacture and innovation of the actual rice transplanter.
作者
向承翔
Xiang Chengxiang(Chongqing Three Gorgers Vocational College, Chongqing 404155, China)
出处
《农机化研究》
北大核心
2018年第11期95-98,104,共5页
Journal of Agricultural Mechanization Research
基金
重庆市教委科技项目(KJ1730417)
关键词
高速插秧机
插秧机构
移箱机构
结构化参数
目标函数优化
high-speed transplanter
transplanting mechanism
the moving box mechanism
structural parameter
objective function optimization
