In-position measuring of tool runout parameters in micro-milling

被引:0
|
作者
Zhang X. [1 ]
Pan X. [1 ]
Wang G. [1 ]
机构
[1] School of Mechatronics Engineering, Harbin Institute of Technology, Harbin
关键词
Actual cutting radius; Analytic model; Displacement measurement; In-position measuring; Iterative algorithm; Micro-milling; Tool runout angle; Tool runout length;
D O I
10.11990/jheu.201905079
中图分类号
学科分类号
摘要
In micro-milling, tool runout caused by manufacturing and clamping errors has a great influence on milling force, surface topography, tool life, etc. In this paper, the influence of tool runout parameters on actual cutting radius in mesoscopic scale is analyzed. A new method for in-position identification of tool runout parameters is then proposed. First, the formula for the actual cutting radius of the cutting edge of the considered tool runout is deduced and then used to analyze the influence of tool runout on the actual cutting radius. On this basis, an analytical model for tool runout parameters is established, and the model parameters are obtained by displacement measurement. Finally, tool runout parameters are identified and analyzed by an iterative algorithm, and the obtained result is verified by the milling experiment. The results show that the proposed method of the tool runout length based on displacement measurement is simple and easy to operate and has high resolution and efficiency. It can also be applied to the identification of tool runout parameters in conventional milling. Copyright ©2021 Journal of Harbin Engineering University.
引用
收藏
页码:253 / 258
页数:5
相关论文
共 12 条
  • [1] SUN Yazhou, LIANG Yingchun, CHENG Kai, Micro-scale and meso-scale mechanical manufacturing, Chinese journal of mechanical engineering, 40, 5, pp. 1-6, (2004)
  • [2] HAN Zhenyu, ZHANG Xiang, SUN Yazhou, Et al., Single edge cutting phenomenon and instantaneous uncut chip thickness model of micro-ball-end milling, Advanced science letters, 4, 4, pp. 1387-1393, (2011)
  • [3] TAI C C, FUH K H., A predictive force model in ball-end milling including eccentricity effects, International journal of machine tools and manufacture, 34, 7, pp. 959-979, (1994)
  • [4] ATTANASIO A, GARBELLINI A, CERETTI E, Et al., Force modelling in micromilling of channels, International journal of nanomanufacturing, 11, 5, pp. 275-296, (2015)
  • [5] NAKKIEW W, LIN Chiwei, TU J F., A new method to quantify radial error of a motorized end-milling cutter/spindle system at very high speed rotations, International journal of machine tools and manufacture, 46, 7, pp. 877-889, (2006)
  • [6] ZHANG Dongliang, MO Rong, CHANG Zhingyong, Et al., A study of computing accuracy of calibrating cutting force coefficients and run-out parameters in flat-end milling, The international journal of advanced manufacturing technology, 84, 1, pp. 621-630, (2016)
  • [7] LI Kexuan, ZHU Kunpeng, MEI Tao, A generic instantaneous undeformed chip thickness model for the cutting force modeling in micromilling, International journal of machine tools and manufacture, 105, pp. 23-31, (2016)
  • [8] ZHANG Chen, ZHOU Rurong, ZHUANG Haijun, Et al., An algorithm for determining cutters' eccentricity paramers during modeling their milling force, Mechanical science and technology, 25, 5, pp. 509-512, (2006)
  • [9] LIU Can, WU Jingquan, LIU Huanlao, Et al., Spectral derivation of resultant milling force and eccentric estimation of tool based on trigonometric series expansion, China mechanical engineering, 27, 2, pp. 246-250, (2016)
  • [10] LI Chengfeng, Study on force and surface topography modeling and process optimization of meso-scale end-milling, (2008)