中国机械工程 ›› 2014, Vol. 25 ›› Issue (18): 2460-2466.

• 机械基础工程 • 上一篇    下一篇

基于有限元法的成形磨齿机立柱增量化设计及优化

孙国栋1;李;欢1,2;赵大兴1;彭;玲2   

  1. 1.湖北工业大学,武汉,430068
    2.宜昌长机科技有限责任公司,宜昌,443003
  • 出版日期:2014-09-25 发布日期:2014-09-26
  • 基金资助:
    湖北省自然科学基金资助项目(2010CDB03102);武汉市青年科技晨光计划资助项目(201150431128);湖北省教育厅科学研究计划资助项目(Q20121408)

Incremental Quantitative Design and Optimization of Column in Forming Gear Grinding Machine Based on Finite Element

Sun Guodong1;Li Huan1,2;Zhao Daxing1;Peng Ling2   

  1. 1.Hubei University of Technology,Wuhan,430068
    2.Yichang Changji Machine Technology Co., Ltd.,Yichang,Hubei,443003
  • Online:2014-09-25 Published:2014-09-26
  • Supported by:
    Hubei Provincial Natural Science Foundation of China(No. 2010CDB03102);Hubei Provincial Science Research Program of Ministry of Education of China(No. Q20121408)

摘要:

以某成形磨齿机立柱为研究对象,分析了立柱受偏重心载荷后的静力学特性,同时对立柱进行了模态分析,发现立柱在X方向上受力情况较差。在此基础上,提出了增量化设计概念,对立柱进行增量化配重设计。研究表明:该设计方法可有效减小立柱X方向上的位移与应力;使得立柱第4阶模态发生振动转移。为获得最佳的立柱静刚度以及最小的立柱增量,对增量化设计方法的参数进行了多目标优化,获得了一组最优增量化设计参数。

关键词: 有限元, 立柱, 增量化设计, 多目标优化

Abstract:

Taking the column of a forming gear grinding machine as the research object, the static characteristics of the column  were analyzed under the partial center of gravity load, meanwhile its modal analysis was completed. And it is found that the column has poor force condition in X direction. On the basis of that, the conception of incremental quantitative design was proposed. Adopting incremental quantitative counterweigh design on the column, the research fruit shows that this method has reduced the column's displacement and stress in X direction effectively, and the fourth order modal of column has appeared vibration shift under this incremental quantitative design. In order to obtain the optimal static stiffness and the smallest increment of the column, a multi-objective optimization model was established on design parameters for column counterweight, and a group of optimal incremental quantitative design parameters are achieved.

Key words: linite element, column, incremental quantitative design, multi-objective optimization

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