Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (7): 86-90,103.doi: 10.3969/j.issn.1000-565X.2014.07.014

• Mechanical Engineering • Previous Articles     Next Articles

Precision Measurement of Cutting Edge Based on Laser Scanning Confocal Microscopy

Song Shu-quan1 Zuo Dun-wen1 Zhao Shi-tian2   

  1. 1.College of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Jiangsu,China; 2.College of Mechanical Engineering,Yancheng Institute of Technology,Yancheng 224051,Jiangsu,China
  • Received:2014-04-02 Revised:2014-04-11 Online:2014-07-25 Published:2014-06-01
  • Contact: 宋树权(1981-)，男，博士生，讲师，主要从事刀具刃口表征及优化技术研究． E-mail:yoyoxo1981@163.com
  • About author:宋树权(1981-)，男，博士生，讲师，主要从事刀具刃口表征及优化技术研究．
  • Supported by:

    国家自然科学基金资助项目( 51305379) ; 江苏省普通高校研究生科研创新计划资助项目( CXLX13_143)

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Abstract:

In order to represent cutting edge,a method for precision measurement and data processing is proposed,In the method,the laser scanning confocal microscope ( LSCM) is employed to measure the cutting edge in a preciseway,and then the cutting edge radius is fit through data post-processing.The results show that ( 1) the bankangle of angular gage block can affect the range of measurement and the judgment of asymmetry,which should bereasonably chosen according to the structural parameters of cutting tool; ( 2) as for TPMT16T304,the measurementeffect is better at the bank angle of 50.5°; ( 3) data smoothing can effectively remove the measurement noise,andthus improve processing efficiency and measurement accuracy; and ( 4) the least square fitting result is consistentwith the measurement value obtained by means of SEM and the nominal value,and the uncertainty of criterion issuperior to 0.084 μm.The results mentioned above indicate that the proposed method is easy to operate and moreprecise in measurement.Furthermore,it does not damage cutting tools.

Key words: precision measurement, laser scanning confocal microscopy, cutting edge radius, least square fitting, uncertainty

CLC Number: