Optimization design expert system of CNC machine tool spindle

被引:0
|
作者
Liu S. [1 ]
Zhang Y. [2 ]
Wang H. [3 ]
机构
[1] College of Mechanical and Electrical Engineering, Hainan University, Haikou
[2] Institute of Industrial Science, University of Tokyo, Tokyo
[3] College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
来源
| 1600年 / Chinese Society of Agricultural Machinery卷 / 47期
关键词
CNC machine tool; Expert system; Fuzzy logic; Optimization design; Spindle;
D O I
10.6041/j.issn.1000-1298.2016.04.049
中图分类号
学科分类号
摘要
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. © 2016, Chinese Society of Agricultural Machinery. All right reserved.
引用
收藏
页码:372 / 381
页数:9
相关论文
共 22 条
  • [1] Li B.T., Hong J., Liu Z.F., Stiffness design of machine tool structures by a biologically inspired topology optimization method, International Journal of Machine Tools and Manufacture, 84, pp. 33-44, (2014)
  • [2] Jiang H., Guan Y., Qiu Z., Et al., Dynamic and static multi-objective optimization of a vertical machining center based on response surface method, Journal of Mechanical Engineering, 47, 11, pp. 125-132, (2011)
  • [3] Xie H., Wang Q., Li J., Et al., The motorised spindle optimisation design of NC machine tool based on finite element method, International Journal of Materials and Product Technology, 45, 1-4, pp. 217-227, (2012)
  • [4] Sarhan-Ahmed A.D., Atsushi M., Investigation about the characterization of machine tool spindle stiffness for intelligent CNC end milling, Robotics and Computer-Integrated Manufacturing, 34, pp. 133-139, (2015)
  • [5] Altintas Y., Cao Y., Virtual design and optimization of machine tool spindles, CIRP Annals-Manufacturing Technology, 54, 1, pp. 379-382, (2005)
  • [6] Masakazu S., Haruki I., Kazuo Y., A study on the development of a multi-purpose spindle system for quality productive machining, CIRP Annals-Manufacturing Technology, 58, 1, pp. 327-330, (2009)
  • [7] Jiang S., Mao H., Investigation of variable optimum preload for a machine tool spindle, International Journal of Machine Tools and Manufacture, 50, 1, pp. 19-28, (2010)
  • [8] Guo C., Wang P., Tian P., Et al., Optimization design of CNC machine tool spindle based on genetic algorithm, Journal of Northeastern University, 32, 6, pp. 850-853, (2011)
  • [9] Chen J., Jiao L., Optimization design of machine tool spindle based on collaborative algorithm, Journal of Zhengzhou University: Engineering Science, 33, 2, pp. 103-106, (2012)
  • [10] Luo L., Zou X., Yang Z., Et al., Grape image fast segmentation based on improved artificial bee colony and fuzzy clustering, Transactions of the Chinese Society for Agricultural Machinery, 46, 3, pp. 23-28, (2015)