数控机床主轴优化设计专家系统研究
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金项目(51405115)


Optimization Design Expert System of CNC Machine Tool Spindle
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为了提高数控机床的加工精度并促进制造业升级发展,对数控机床主轴优化设计专家系统进行了研究。基于当前丰富的数控机床主轴设计经验、机械动力学、优化方法和模糊逻辑理论,构造了主轴传动方式模糊优选法。以提高数控机床主轴的动静态性能为优化目标,通过灵敏度分析法选择设计变量,建立主轴结构多目标优化设计的数学模型,并提出一种渐进优化算法用于模型求解,得到一种新的主轴结构优化设计方法。将主轴传动方式模糊优选法和主轴结构优化设计方法进行集成,从而形成一套数控机床主轴优化设计专家系统。以一种精密数控机床主轴的多目标优化设计作为应用案例,将优化设计结果与实际情况和实验结果进行对比分析,验证了所构造的数控机床主轴优化设计专家系统的可行性。

    Abstract:

    In order to improve the machining accuracy of CNC machine tool and promote manufacturing industry upgrade development, a CNC machine tool spindle optimization design expert system was studied. On the basis of the rich CNC machine tool spindle design experience in current, mechanical dynamics, optimization method and fuzzy logic theory, a spindle transmission type fuzzy optimum seeking method was developed. Taking the dynamic and static performance of CNC machine tool spindle as optimization goals, and adopting the sensitivity analysis to choose the design variables, a mathematic model of the spindle structural multi-objective optimization design was established. A gradual optimization algorithm was put forward to solve the optimization model, and a new kind of spindle structural optimization design method was obtained. Through integrating the “spindle transmission type fuzzy optimum seeking method” with the “spindle structural optimization design method”, the CNC machine tool spindle optimization design expert system was developed. Taking the multi-objective optimization design for a precision CNC machine tool spindle as application case, the optimization design results were compared with the actual situation and the experimental results, which verified the feasibility of the CNC machine tool spindle optimization design expert system.

    参考文献
    相似文献
    引证文献
引用本文

刘世豪,张云顺,王宏睿.数控机床主轴优化设计专家系统研究[J].农业机械学报,2016,47(4):372-381.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2015-09-08
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2016-04-10
  • 出版日期: 2016-04-10