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作 者:门超[1] 李传军[1] 徐晓东[1] Men Chao;Li Chuanjun;Xu Xiaodong(Chengde Petroleum College, Chengde 067000, China)
出 处:《农机化研究》2019年第6期48-52,共5页Journal of Agricultural Mechanization Research
基 金:河北省科技计划项目(17211812D)
摘 要:为进一步提高应用于智能插秧机的叶盘加工质量及插秧机整机工作效率,对叶盘的数控加工参数展开优化研究。选定一型号智能插秧机,在对其核心参数及工作原理深入理解基础上,对插秧机的叶盘进行加工参数优化,通过目标寻优函数建立数学模型,并利用绘图软件UG给出叶盘关键组件的三维物理模型,规划好加工工艺路线进行加工试验。研究表明:依照科学数控加工工序及刀具的合理选择,得出的叶盘加工精度较参数优化前可提升10%左右,加工制造成本可降低3%左右,耐用度和智能插秧机的整机工作效率均有提升,此参数优化研究与试验具有重要的实际应用意义。In order to further improve the processing quality of the blisk used in the intelligent transplanter and the whole machine efficiency of the transplanter, the research on of the NC machining parameters of the blisk was optimized. By selecting a model of intelligent transplanter, fully mastering modern NC machining technology on the basis of understanding briefly its key parameters and working principle, the processing parameters of the blisk on the intelligent transplanter were optimized. The mathematical model was established by the objective optimization function, and the 3D physical model of the key components of the blisk was given by the drawing software UG and then the process test was made by planning the processing route. The research showed that the processing precision of the blisk could be improved by about 10% before the parameter optimization, and the manufacturing cost of the blisk could be reduced by about 3%, the durability of the blisk and the whole machine working efficiency for the intelligent transplanter has been improved according to the rational selection of the numerical control processing procedures and the cutting tools, it proved that the parameters optimization research and test have important significance on the practical application.
分 类 号:S223.912[农业科学—农业机械化工程]
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