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IJAT Vol.13 No.1 pp. 125-132
doi: 10.20965/ijat.2019.p0125
(2019)

Paper:

Influence of Coating in Square End Mill Using In-Process Tool Wear Detection Based on Electrical Contact Resistance

Amine Gouarir*,†, Syuhei Kurokawa*, Takao Sajima*, and Mitsuaki Murata**

*Department of Mechanical Engineering, Kyushu University
744 Motooka, Nishi-ku, Fukuoka-city, Fukuoka 819-0395, Japan

Corresponding author

**Department of Mechanical Engineering, Kyushu Sangyo University, Fukuoka, Japan

Received:
September 15, 2017
Accepted:
September 14, 2018
Published:
January 5, 2019
Keywords:
electric contact resistance, solid and throw away square end mills, in-process monitoring, flank wear, coated end mills
Abstract

In this paper, a method using electrical contact resistance to monitor in-process tool wear is proposed. The high-speed tool wear detection system uses the contact resistance between the tool and workpiece as an indicator to monitor the progression of tool wear during cutting operations. The electrical resistance decreases with an increase in contact area on the tool flank. In our previous study, the objective was an end milling process using uncoated square end mills. In this experiment, our targets are solid and throw away coated square end mills. The experiment shows the present method to also be effective as an in-process tool wear detection system for coated square end mills.

Cite this article as:
A. Gouarir, S. Kurokawa, T. Sajima, and M. Murata, “Influence of Coating in Square End Mill Using In-Process Tool Wear Detection Based on Electrical Contact Resistance,” Int. J. Automation Technol., Vol.13 No.1, pp. 125-132, 2019.
Data files:
References
  1. [1] S. Kurada and C. Bradley, “A review of machine vision sensors for tool condition monitoring,” Computers in Industry, Vol.34, No.1, pp. 55-72, 1997.
  2. [2] S. Ibaraki, A. Matsubara, and M. Murozumi, “Efficiency Comparison of Cutting Strategies for End Milling Processes Under Feedrate Scheduling,” Int. J. Automation Technol., Vol.2, No.5, pp. 377-383, 2008.
  3. [3] T. Matsumura, M. Shimada, K. Teramoto, and E. Usui, “Predictive Cutting Force Model and Cutting Force Chart for Milling with Cutter Axis Inclination,” Int. J. Automation Technol., Vol.7, No.1, pp. 30-38, 2013.
  4. [4] S. Y. Liang and D. A. Dornfeld, “Tool wear Detection using Time series Analysis of Acoustic Emission,” J. of Engineering for Industry, Vol.111, No.3, pp. 199-205, 1989.
  5. [5] W. H. Wang, G. S. Hong, Y. S. Wong, and K. P. Zhu, “Sensor fusion for on-line tool condition monitoring in milling,” Int. J. of Production Research, Vol.45, No.21, pp. 5095-5116, 2007.
  6. [6] K. Zhu, Y. S. Wong, and G. S. Hong, “Wavelet analysis of sensor signals for tool condition monitoring: A review and some new results,” Int. J. of Machine Tools and Manufacture, Vol.49, No.7-8, pp. 537-553, 2009.
  7. [7] S. C. Lin and R. J. Lin, “Tool wear monitoring in face milling using force signals,” Wear, Vol.198, No.1-2, pp. 136-142, 1996.
  8. [8] F. Čuš and U. Župerl, “Real-Time Cutting Tool Condition Monitoring in Milling,” Strojniški vestnik – J. of Mechanical Engineering, Vol.57, No.2, pp. 142-150, 2011.
  9. [9] K. Nakamoto, S. Mitsuhashi, K. Adachi, and K. Shirase, “A Machine Tool Spindle Achieving Real-Time Balancing Using Magnetic Fluid,” Int. J. Automation Technol., Vol.3, No.2, pp. 193-198, 2009.
  10. [10] H. Sawano, R. Kobayashi, H. Yoshioka, and H. Shinno, “A Proposed Ultraprecision Machining Process Monitoring Method Using Causal Network Model of Air Spindle System,” Int. J. Automation Technol., Vol.5, No.3, pp. 362-368, 2011.
  11. [11] M. Fujimoto, Y. Wu, M. Nomura, H. Kanai, and M. Jin, “Wear Behavior of Grain Cutting Edge in Ultrasonic Assisted Grinding Using Mini-Size Wheel,” Int. J. Automation Technol., Vol.9, No.4, pp. 365-372, 2015.
  12. [12] E. Kuljanic and M. Sortino, “TWEM: A method based on cutting forces – monitoring tool wear in face milling,” Int. J. of Machine Tools and Manufacture, Vol.45, No.1, pp. 29-34, 2005.
  13. [13] J. Srinivas and K. R. Kotaiah, “Tool wear monitoring with indirect Alloy,” CIRP Annals – Manufacturing Technology, Vol.54, No.1, pp. 7174, 2005.
  14. [14] H. Suzuki, M. Okada, K. Okada, and Y. Ito, “Precision Cutting of Ceramics with Milling Tool of Single Crystalline Diamond,” Int. J. Automation Technol., Vol.9, No.1, pp. 26-32, 2015.
  15. [15] R. Tanaka, A. Hosokawa, T. Furumoto, and T. Ueda, “Effects of Tool Edge Geometry on Cutting Temperature in Continuous Cutting of Case Hardened Steel,” Int. J. Automation Technol., Vol.7, No.3, pp. 313-320, 2013.
  16. [16] S. Maegawa, Y. Morikawa, S. Hayakawa, F. Itoigawa, and T. Nakamura, “Effects of Fiber Orientation Direction on Tool-Wear Processes in Down-Milling of Carbon Fiber-Reinforced Plastic Laminates,” Int. J. Automation Technol., Vol.9, No.4, pp. 356-364, 2015.
  17. [17] B. Denkena, J. Köhler, R. Meyer, and J.-H. Stiffel, “Modification of the Tool-Workpiece Contact Conditions to Influence the Tool Wear and Workpiece Loading During Hard Turning,” Int. J. Automation Technol., Vol.5, No.3, pp. 353-361, 2011.
  18. [18] M. Murata, S. Kurokawa, O. Ohnishi, M. Uneda, and T. Doi, “Real-Time Evaluation of Tool Flank Wear by In-Process Contact Resistance Measurement in Face Milling,” J. of Advanced Mechanical Design, System and Manufacturing, Vol.6, No.6, pp. 958-970, 2012.
  19. [19] K.-J. Lee, T.-M. Lee, and M.-Y. Yang, “Tool wear monitoring system for CNC end milling using a hybrid approach to cutting force regulation,” Int. J. Adv. Manuf. Technol., Vol.32, No.1-2, pp. 8-17, 2007.
  20. [20] A. Gouarir, S. Kurokawa, M. Murata, and H. Fujiwara, “Performance analysis of high speed tool wear detection system based on DC two terminal methods,” Proc. of the 5th Int. Symp. on Advanced Control of Industrial Processes (ADCONIP 2014), pp. 438-443, 2014.
  21. [21] M. Murata, S. Kurokawa, O. Ohnishi, M. Uneda, and T. Doi, “Development of High Speed Tool Wear Detection System by using DC Two-Terminal Methods,” Proc. of the 9th Cooperative and Joint Int. Conf. on Ultra-precision Machining Process 2013, pp. 72-76, 2013.
  22. [22] A. Gouarir, S. Kurokawa, T. Sajima, and M. Murata, “In-Process Tool Wear Detection of Uncoated Square End Mill Based on Electrical Contact Resistance,” Int. J. Automation Technol., Vol.10, No.5, pp. 767-772, 2016.
  23. [23] A. Gouarir, S. Kurokawa, T. Sajima, and M. Murata, “In-process Tool Wear Detection of Square End Mill based on DC Two Terminal Method,” Proc. of the 8th Int. Conf. on Leading Edge Manufacturing in 21st Century (LEM 2015), 2015.

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