Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 20Issue 2
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2011> 20(2): 216-220
YUAN Wei, ZHANG Zhi-jing, JIN Xin, LIU Bing-bing. Online tool-wear measurement of small-diameter end mills based on machine vision[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(2): 216-220.
Citation: YUAN Wei, ZHANG Zhi-jing, JIN Xin, LIU Bing-bing. Online tool-wear measurement of small-diameter end mills based on machine vision[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(2): 216-220.
shu

Online tool-wear measurement of small-diameter end mills based on machine vision

  • School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2010-05-14
    Abstract
  • The objective of this study was to develop an online tool-wear-measurement scheme for small diameter end-mills based on machine vision to increase tool life and the production efficiency. The geometrical features of wear zone of each end mill were analyzed, and three tool wear criterions of small-diameter end mills were defined. With the uEye camera, macro lens and 3-axis micro milling machine, it was proved the feasibility of measuring flank wear with the milling tests on a 45# steel workpiece. The design of experiment (DOE) showed that V cwas the most remarkable effect factor for the flank wear of small-diameter end mill. The wear curve of the experiments of milling was very similar to the Taylor curve.
    • FullText(HTML)
  • loading
    • References (10)
  • [1]
    Yang Zhifu, Fang Jianguo, Zhang Lin, et al. Research on micro machining technology of non-silicon material meso-scale based on micro milling machine[J].Aviation Precision Manufacturing Technology, 2008, 44(2):8-11.(in Chinese)
    [2]
    Vogler M P, Kapoor S G. On the modeling and analysis of machining performance in micro-endmilling, part I: Surface generation[J]. Journal of Manufacturing Science and Engineering, 2004,126(11):685-694.
    [3]
    Kim C J, Mayor J, Ni J. A static model of chip formation in microscale milling[J]. Transactions of the ASME, 2004,126(11):710-718.
    [4]
    Liu X, DeVor R E, Kapoor S G, et al. The mechanics of machining at the microscale: assessment of the current state of the science[J]. Transactions of the ASME, 2004,126(11):666-678.
    [5]
    Vogler M P, DeVor R E, Kapoor S G. Microstructure-level force prediction model for micro-milling of multi-phase materials[J]. Transactions of the ASME,2003,125:202-209.
    [6]
    Jurkovic J, Korosec M, Kopac J. New approach in tool wear measuring technique using CCD vision system[J]. International Journal of Machine Tools & Manufacture, 2005,45:1023-1030.
    [7]
    Kwon Y, Fischer G W. A novel approach to quantifying tool wear and tool life measurements for optimal tool management[J]. International Journal of Machine Tools & Manufacture, 2003,43: 359-368.
    [8]
    Pfeifer T, Wiegers L. Reliable tool wear monitoring by optimized image and illumination control in machine vision[J]. Measurement, 2000,28: 209-218.
    [9]
    Shaw M C. Metal cutting principles[M]. London: Oxford Press, 1989:236-241.
    [10]
    International Organization for Standardization. ISO 8688-2 (1989), first edition. Tool life testing in milling-part 2,end milling[S]. Switzerland: International Organization for Standardization,1989.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1221) PDF downloads(228) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

      Return
      Return
        Baidu
        map