Process planning of the automatic polishing of the curved surface using a five-axis machine tool

被引:0
|
作者
Lei Zhang
Chen Ding
Cheng Fan
Qian Wang
Kejun Wang
机构
[1] Soochow University,Jiangsu Provincial Key Laboratory of Advanced Robotics, College of Mechanical and Electrical Engineering
关键词
Curved surface; Path planning; Kinematics analysis; Polishing process;
D O I
暂无
中图分类号
学科分类号
摘要
Curved surface parts have been widely used in aerospace, automobile, and other fields due to their excellent features in aerodynamics, hydrodynamics, and thermodynamics. Compared with surface modeling technology, the development of surface processing technology is slightly behind. In order to improve the processing quality and efficiency of curved surface, a five-axis CNC polishing machine tool is developed, and the pre-processing and post-processing of machining the curved surface are studied. Taking a metal shell of the mobile phone as an example, three different paths are planned for the flat surface and the curved surface respectively, and a method of generating the tool path is proposed. The kinematics model of the five-axis CNC machine tool is established, which is used to obtain the calculation formula of the movement amount of each axis when polishing on the flat surface and the curved surface of the metal shell. The polishing effects of the different paths on the surface quality and the polishing efficiency of the metal shell are studied through the polishing experiments, and the polishing path with the best surface quality and the highest polishing efficiency is found.
引用
收藏
页码:7205 / 7218
页数:13
相关论文
共 50 条
  • [1] Process planning of the automatic polishing of the curved surface using a five-axis machine tool
    Zhang, Lei
    Ding, Chen
    Fan, Cheng
    Wang, Qian
    Wang, Kejun
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 120 (11-12): : 7205 - 7218
  • [2] Design of experiments to optimise automatic polishing on five-axis machine tool
    Department of Mechanical Engineering, ENS Cachan, 61 Avenue du Président Wilson, 94235 Cachan, France
    不详
    不详
    Int. J. Mach. Mach. Mater., 2012, 1-2 (76-87):
  • [3] Investigations on the automatic precision polishing of curved surfaces using a five-axis machining centre
    Feng, Deyang
    Sun, Yuwen
    Du, Huapeng
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2014, 72 (9-12): : 1625 - 1637
  • [4] Investigations on the automatic precision polishing of curved surfaces using a five-axis machining centre
    Deyang Feng
    Yuwen Sun
    Huapeng Du
    The International Journal of Advanced Manufacturing Technology, 2014, 72 : 1625 - 1637
  • [5] Five-Axis Slerp for Tool-Orientation Planning in a Five-Axis CNC Machine
    Yan, Chang Dau
    Chieng, Wei-Hua
    Jeng, Shyr-Long
    JOURNAL OF THE CHINESE SOCIETY OF MECHANICAL ENGINEERS, 2018, 39 (06): : 565 - 574
  • [6] Five-Axis Slerp for Tool-Orientation Planning in a Five-Axis CNC Machine
    Yan, Chang Dau
    Chieng, Wei-Hua
    Jeng, Shyr-Long
    Journal of the Chinese Society of Mechanical Engineers, Transactions of the Chinese Institute of Engineers, Series C/Chung-Kuo Chi Hsueh Kung Ch'eng Hsuebo Pao, 2018, 39 (06): : 565 - 574
  • [7] Tool Path Planning for Aspheric Five-axis Machine Tools
    Zhu Yongxiang
    Guo Peiji
    Chen Xi
    AOPC 2019: OPTICAL SPECTROSCOPY AND IMAGING, 2019, 11337
  • [8] Tool path planning for five-axis machining using the principal axis method
    Rao, N
    Ismail, F
    Bedi, S
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1997, 37 (07): : 1025 - 1040
  • [9] Tool path planning for five-axis machining using the principal axis method
    Univ of Waterloo, Waterloo, Canada
    International Journal of Machine Tools and Manufacture, 1997, 37 (07): : 1025 - 1040
  • [10] Kinematic Planning and In-Situ Measurement of Seven-Axis Five-Linkage Grinding and Polishing Machine Tool for Complex Curved Surface
    Fan, Cheng
    Xu, Kun
    Zhang, Lei
    Yuan, Qiang
    Wang, Qian
    Wanga, Kejun
    Sun, Lining
    MACHINING SCIENCE AND TECHNOLOGY, 2022, 26 (02) : 203 - 228