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Research Papers

A Study of On-Machine Micro Milling Cutter Condition Inspection Based on Machine Vision

[+] Author and Article Information
Xi Zhang

School of Mechatronics Engineering
and Automation,
Shanghai University,
149 Yanchang Road,
Jingan District,
Shanghai 200072, China
e-mail: xizhang@shu.edu.cn

Yuanyuan Shi

School of Mechatronics Engineering
and Automation,
Shanghai University,
149 Yanchang Road,
Jingan District,
Shanghai 200072, China
e-mail: 18817612375@163.com

Benzheng Zhang

School of Mechatronics Engineering
and Automation,
Shanghai University,
149 Yanchang Road,
Jingan District,
Shanghai 200072, China
e-mail: 1521569496@qq.com

Chunying Si

School of Mechatronics Engineering
and Automation,
Shanghai University,
149 Yanchang Road,
Jingan District,
Shanghai 200072, China
e-mail: 1104487158@qq.com

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MICRO-AND NANO-MANUFACTURING. Manuscript received October 29, 2017; final manuscript received June 2, 2018; published online July 3, 2018. Editor: Nicholas Fang.

J. Micro Nano-Manuf 6(3), 031007 (Jul 03, 2018) (7 pages) Paper No: JMNM-17-1065; doi: 10.1115/1.4040559 History: Received October 29, 2017; Revised June 02, 2018

In order to inspect the condition of micro milling cutter automatically and accurately in the online process, a dedicated micro milling cutter condition inspection system was established in this paper, which can effectively inspect micro cutter condition from both radial and axial direction. The key methods—the automatic dimension measurement and the fusion method for compositing all-in-focus cutting edge image of micro milling cutters—are studied. The experiments verify that the proposed methods and the developed inspection system can fulfill the needs of industrial applications.

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References

Li, J. X. , Hu, X. B. , and Yang, Y. , 2007, “ Development and Application of Micro Manufacturing Technology,” Mod. Mach., 4, pp. 76–78.
Wang, C. C. , 2014, “ On-Site Tool Wear Detection Based on High Precision Computer Vision,” M.S. thesis, Donghua University, Shanghai, China.
Huo, D. , and Cheng, K. , 2010, “ Experimental Investigation on Micro Milling of Oxygen-Free, High-Conductivity Copper Using Tungsten Carbide, Chemistry Vapour Deposition, and Single-Crystal Diamond Micro Tools,” Proc. Inst. Mech. Eng. Part B, 224(6), pp. 995–1003. [CrossRef]
Cheng, K. , and Huo, D. , 2013, Micro-Cutting: Fundamentals and Applications, Wiley, Chichester, UK, pp. 4–10. [CrossRef]
Jia, B. H. , 2014, “ Key Technology Research of Tool Condition Detection On-Machine Based on Machine Vision,” M.S. thesis, South China University of Technology, Guangzhou, China.
Tansel, I. , Rodriguez, O. , Trujillo, M. , Paz, E. , and Li, W. , 1998, “ Micro-End-Milling—I: Wear and Breakage,” Int. J. Mach. Tools Manuf., 38(12), pp. 1419–1436. [CrossRef]
Hsieh, W. H. , Lu, M. C. , and Chiou, S. J. , 2012, “ Application of Backpropagation Neural Network for Spindle Vibration-Based Tool Wear Monitoring in Micro-Milling,” Int. J. Adv. Manuf. Technol., 61(1–4), pp. 53–61. [CrossRef]
Yan, H. , 2016, “ Research on Acoustic Emission Characteristics of the Tool Wear in Micro Milling,” M.S. thesis, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
BIG DAISHOWA, 2000, “ Non-Contact Tool Inspection Device,” BIG DAISHOWA, Osaka, Japan, accessed Dec. 15, 2016, http://big-daishowa.co.jp/product_page/data_18_dyna-vision.php/
MARPOSS, 2011, “ Non-Contact Visual Tool Setter,” MARPOSS, Bentivoglio, Italy, accessed Dec. 15, 2016, https://www.marposs.com/eng/product/non-contact-visual-tool-setter
Szydłowski, M. , Powałka, B. , Matuszak, M. , and Kochmański, P. , 2016, “ Machine Vision Micro-Milling Tool Wear Inspection by Image Reconstruction and Light Reflectance,” Precis. Eng., 44, pp. 236–244. [CrossRef]
Dai, Y. Q. , and Zhu, K. P. , 2017, “ A Machine Vision System for Micro-Milling Tool Condition Monitoring,” Precis. Eng., 52, pp. 183–191.
Cheng, X. , Wei, X. T. , Yang, X. H. , and Guo, Y. B. , 2014, “ Unified Criterion for Brittle-Ductile Transition in Mechanical Microcutting of Brittle Materials,” ASME J. Manuf. Sci. Eng., 136(5), p. 051013. [CrossRef]
Zhang, X. , Tsang, W. M. , and Yamazaki, K. , 2013, “ A Study on Automatic on-Machine Inspection System for 3D Modeling and Measurement of Cutting Tools,” J. Intell. Manuf., 24(1), pp. 71–86. [CrossRef]
Rosin, P. L. , 1997, “ Technique for Assessing Polygonal Approximations of Curves,” IEEE Trans. Pattern Anal. Mach. Intell., 19(6), pp. 659–666. [CrossRef]
Rosin, P. L. , 2003, “ Assessing the Behavior of Polygonal Approximation Algorithms,” Pattern Recognit., 36(2), pp. 508–518. [CrossRef]
Steger, C. , Ulrich, M. , and Wiedemann, C. , 2008, Machine Vision Algorithms and Applications, Tsinghua University Press, Beijing, China, pp. 250–255.
Gao, Z. , 2007, “ Study on the Accuracy and Stability of Auto-Focusing Function,” M.S. thesis, Shandong University, Jinan, China.
Eltoukhy, H. A. , and Kavusi, S. , 2003, “ A Computationally Efficient Algorithm for Multi Focus Image Reconstruction,” Proc. SPIE, 5017, pp. 332–341.
Liu, Z. , Tsukada, K. , Hanasaki, K. , Ho, Y. K. , and Dai, Y. P. , 2001, “ Image Fusion by Using Steerable Pyramid,” Pattern Recognit. Lett., 22(9), pp. 929–939. [CrossRef]

Figures

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Fig. 1

The on-machine inspection device for micro milling cutters

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Fig. 2

Automatic dimension measurement method: (a) compound image, (b) contour segmentation, (c) contour merging, and (d) dimension measurement

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Fig. 3

The image sequence for the side edge and the end edge for a 0.6 mm micro ball end mill

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Fig. 4

Setup of the experiments

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Fig. 5

A worn micro cutting tool

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Fig. 6

Hexagonal end mill and ball end mill

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Fig. 7

All-in-focus cutting edge images and geometrical features inspection

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