Journal of Mechanical Science and Technology

  • 제18권7호
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  • Pages.1055-1061
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  • 2004
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  • 1738-494X(pISSN)
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  • 1976-3824(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
권호 표지

Breakage Detection of Small-Diameter Tap Using Vision System in High-Speed Tapping Machine with Open Architecture Controller

  • Lee, Don-Jin (Engineering Research Center/Net Shape and Die Manufacturing, Pusan National University) ;
  • Kim, Sun-Ho (Department of Mechatronics Engineering, Dong-Eui University) ;
  • Ahn, Jung-Hwan (School of Mechanical Engineering, Pusan National University, ERC/NSDM)
  • 발행 : 2004.07.01
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초록

In this research, a vision system for detecting breakages of small-diameter taps, which are rarely detected by the indirect in-process monitoring methods such as acoustic emission, cutting torque and motor current, was developed. Two HMI (Human Machine Interface) programs to embed the developed vision system into a Siemens open architecture controller, 840D, were developed. They are placed in sub-windows of the main window of the 840D and can be activated or deactivated either by a softkey on the operating panel or the M code in the NC part program. In the event that any type of tool breakage is detected, the HMI program issues a command for an automatic tool change or sends an alarm signal to the NC kernel. An evaluation test in a high-speed tapping machine showed that the developed vision system was successful in detecting breakages of small-diameter taps up to M1.

키워드

참고문헌

  1. Chen, Y. B., Sha, J. L. and Wu, S. M. 1990, 'Diagnosis of the Tapping Process by Information Measure and Probability Voting Apporach,' J. of Eng. for Ind., Vol. 112, pp. 319-325 https://doi.org/10.1115/1.2899594
  2. Choi, M. S., 1994, 'A Study on Tapping Torque in High Speed Tapping,' KSME, Vol. 18, No. 12, pp. 3195-3201
  3. Curt, E. and Everson, S. Hoessein Cheraghi, 1999, 'The Application of Acoustic Emission for Precision Drilling Process Monitoring,' Int. J. Mach. Tools & Manufact. Vol. 39, pp. 371-387 https://doi.org/10.1016/S0890-6955(98)00054-6
  4. Du, R., Elbestawi, M. A. and Wu,S.M., 1995, 'Automated Monitoring of Manufacturing Process,' J. of Eng. for Ind., Vol. 117, pp. 133-141 https://doi.org/10.1115/1.2803287
  5. EL-Wardany, T. I., GAO, D. and Elbestawi, M. A., 1996, 'Tool Condition Monitoring in Drilling Using Vibration Signature Analysis,' Int. J. Mach. Tools & Manufact., Vol. 36, No. 6, pp. 687-711 https://doi.org/10.1016/0890-6955(95)00058-5
  6. JAE S. Lim, Two-Dimensional Signal and Image Processing, Prentice Hall
  7. Kim, S. H., Kim, D. H., Kim, S. M., Lee, D. J., Lee, S. K., Ahn, J. H., Lee, S. G., 2002, 'Development and Evaluation of Ultra High Speed Tapping Machine,' KSPE, Vol. 19, No. 11, pp. 221-227
  8. Kwon, O. D. and Yang, M. Y., 1993, 'Tool Condition Monitoring Technique Using Computer Vision and Pattern Recognition,' KSME, Vol. 17, No. 1, pp. 27-37
  9. Li Xiaoli, 1999, 'On-Line Detection of the Breakage of Small Diameter Drills Using Current Signature Wavelet Transform,' Int. J. Mach. Tools & Manufact., Vol. 39, pp. 157-164 https://doi.org/10.1016/S0890-6955(97)00066-7
  10. Lorenz, G., 1980, 'On Tapping Torque and Tap Geometry,' Annals of CIRP, Vol. 29, pp. 1-4 https://doi.org/10.1016/S0007-8506(07)61284-0
  11. Mauri Routio, Matti Saynatjoki, 1995, 'Tool Wear and Failure in the Drilling of Stainless Steel,' J. Mat. Processing Tech., Vol. 52, pp. 35-43 https://doi.org/10.1016/0924-0136(94)01441-3
  12. Rafael C. Gonzalez, Richard E. Wood, Digital Image Processing, Addison Wesley
  13. Sa, S. Y., Yu, E. Y. and Ryu, B. H., 1997, 'A Study on the Tool Fracture Detection Algorithm Using System Identification,' KSME, Vol. 21, No. 6, pp. 988-994
  14. Siemens, SINUMERIK 840DOEM-Package MMC User's Manual
  15. Yoshinori YAMAOKA, Yoshiaki KAKINO, Yasuhiko SUZUKI, Akimitsu NAGAE, Toshiyuki MURAKI, 2000, 'High Speed, High Productive Tapping by Intelligent Machine Tools(1st Report)-Automatic Detection of Tool Failure and Chip jamming,' JSPE, Vol. 66, pp. 1922-1926
  16. Yohinori YAMAOKA, Yoshiaki KAKINO, Tomori SATO, 2002, 'High Speed and High Procuctive Tapping by Intelligent Machine Tools(3rd Report) Prevention of Tap Tool Breakage and Monitoring of Tool Failure for Difficult-to-machine Materials by Realtime Adaptive Control,' JSPE, Vol. 69, pp. 1226-1230
  17. Youn, J. W., Yang, M. Y. and Park, H. Y., 1992, 'A Study on Detection of Cutting Tool Fracture by Dual Signal Measurements,' KSME, Vol. 16, No. 4, pp. 707-722