Cutting tool rotation errors have significant influence on the machined surface quality, especially in micromilling. Precision metrology instruments are usually needed to measure the rotation error accurately. However, it is difficult to directly measure the axial error of micromilling tools due to the small diameters and ultra-high rotational speed. To predict the axial error of high speed milling tools in the actual machining conditions and avoid the use of expensive metrology instruments, a novel method is proposed in this paper to quantify the cutting tool error in the axial direction based on the tool marks generated on the machined surface. A numerical model is established to simulate the surface topography generation, and the relationship between tool marks and the cutting tool axial error is then investigated. The tool axial errors at different rotational speeds can be detected by the proposed method. The accuracy and the reliability of the proposed method are verified by machining experiments.
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November 2018
Research-Article
A New Surface Topography-Based Method to Quantify Axial Error of High Speed Milling Cutters
Wanqun Chen,
Wanqun Chen
Centre for Precision Technologies,
University of Huddersfield,
Huddersfield HD1 3DH, UK;
School of Mechatronics Engineering,
Harbin Institute of Technology,
Harbin 150001, China;
Haslett Building (HA3/05) EPSRC
Future Metrology Hub,
University of Huddersfield,
Huddersfield HD1 3DH, UK
e-mail: Wanqun.chen@ncl.ac.uk
University of Huddersfield,
Huddersfield HD1 3DH, UK;
School of Mechatronics Engineering,
Harbin Institute of Technology,
Harbin 150001, China;
Haslett Building (HA3/05) EPSRC
Future Metrology Hub,
University of Huddersfield,
Huddersfield HD1 3DH, UK
e-mail: Wanqun.chen@ncl.ac.uk
Search for other works by this author on:
Lei Lu,
Lei Lu
School of Mechatronics Engineering,
Harbin Institute of Technology,
No.92 West Dazhi Street,
Harbin 150001, China
e-mail: lulei_71@163.com
Harbin Institute of Technology,
No.92 West Dazhi Street,
Harbin 150001, China
e-mail: lulei_71@163.com
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Wenkun Xie,
Wenkun Xie
Centre of Micro/Nano Manufacturing
Technology (MNMT-Dublin),
University College Dublin,
Dublin 4, Ireland
e-mail: wenkun.xie@ucd.ie
Technology (MNMT-Dublin),
University College Dublin,
Dublin 4, Ireland
e-mail: wenkun.xie@ucd.ie
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Dehong Huo,
Dehong Huo
Mechanical Engineering,
School of Engineering, Newcastle University,
Newcastle upon Tyne, NE1 7RU, UK
e-mails: Dehong.huo@ncl.ac.uk;
dehong.huo@newcastle.ac.uk
School of Engineering, Newcastle University,
Newcastle upon Tyne, NE1 7RU, UK
e-mails: Dehong.huo@ncl.ac.uk;
dehong.huo@newcastle.ac.uk
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Kai Yang
Kai Yang
School of Mechatronics Engineering,
Army Aviation Institute,
No.42 Tongzhou Street,
Beijing 101123, China
e-mail: Kaiyang4545@163.com
Army Aviation Institute,
No.42 Tongzhou Street,
Beijing 101123, China
e-mail: Kaiyang4545@163.com
Search for other works by this author on:
Wanqun Chen
Centre for Precision Technologies,
University of Huddersfield,
Huddersfield HD1 3DH, UK;
School of Mechatronics Engineering,
Harbin Institute of Technology,
Harbin 150001, China;
Haslett Building (HA3/05) EPSRC
Future Metrology Hub,
University of Huddersfield,
Huddersfield HD1 3DH, UK
e-mail: Wanqun.chen@ncl.ac.uk
University of Huddersfield,
Huddersfield HD1 3DH, UK;
School of Mechatronics Engineering,
Harbin Institute of Technology,
Harbin 150001, China;
Haslett Building (HA3/05) EPSRC
Future Metrology Hub,
University of Huddersfield,
Huddersfield HD1 3DH, UK
e-mail: Wanqun.chen@ncl.ac.uk
Lei Lu
School of Mechatronics Engineering,
Harbin Institute of Technology,
No.92 West Dazhi Street,
Harbin 150001, China
e-mail: lulei_71@163.com
Harbin Institute of Technology,
No.92 West Dazhi Street,
Harbin 150001, China
e-mail: lulei_71@163.com
Wenkun Xie
Centre of Micro/Nano Manufacturing
Technology (MNMT-Dublin),
University College Dublin,
Dublin 4, Ireland
e-mail: wenkun.xie@ucd.ie
Technology (MNMT-Dublin),
University College Dublin,
Dublin 4, Ireland
e-mail: wenkun.xie@ucd.ie
Dehong Huo
Mechanical Engineering,
School of Engineering, Newcastle University,
Newcastle upon Tyne, NE1 7RU, UK
e-mails: Dehong.huo@ncl.ac.uk;
dehong.huo@newcastle.ac.uk
School of Engineering, Newcastle University,
Newcastle upon Tyne, NE1 7RU, UK
e-mails: Dehong.huo@ncl.ac.uk;
dehong.huo@newcastle.ac.uk
Kai Yang
School of Mechatronics Engineering,
Army Aviation Institute,
No.42 Tongzhou Street,
Beijing 101123, China
e-mail: Kaiyang4545@163.com
Army Aviation Institute,
No.42 Tongzhou Street,
Beijing 101123, China
e-mail: Kaiyang4545@163.com
1Corresponding author.
Manuscript received March 27, 2018; final manuscript received August 6, 2018; published online August 31, 2018. Assoc. Editor: Guillaume Fromentin.
J. Manuf. Sci. Eng. Nov 2018, 140(11): 111014 (9 pages)
Published Online: August 31, 2018
Article history
Received:
March 27, 2018
Revised:
August 6, 2018
Citation
Chen, W., Lu, L., Xie, W., Huo, D., and Yang, K. (August 31, 2018). "A New Surface Topography-Based Method to Quantify Axial Error of High Speed Milling Cutters." ASME. J. Manuf. Sci. Eng. November 2018; 140(11): 111014. https://doi.org/10.1115/1.4041180
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