Tribology and Lubricants

Korean Tribology Society (한국트라이볼로지학회)
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A Study on Real-time Tool Breakage Monitoring on CNC Lathe using Fusion Sensor

다중 센서를 이용한 CNC 선반에서의 실시간 공구파손 감시에 관한 연구

  • An, Young-Jin (Advanced Parts and Materials Engineering, Graduate School of Chosun University) ;
  • Kim, Jae-Yeol (Advanced Parts and Materials Engineering, Graduate School of Chosun University)
  • 안영진 (조선대학교 첨단부품소재공학과) ;
  • 김재열 (조선대학교 첨단부품소재공학과)
  • Received : 2012.03.15
  • Accepted : 2012.05.07
  • Published : 2012.06.30
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Abstract

This study presents a new methodology for realtime tool breakage detection by sensor fusion concept of two hall sensor and an acoustic emission (AE) sensor. Spindle induction motor torque of CNC Lathe during machining is estimated by two hall sensor. Estimated motor torque instead of a tool dynamometer was used to measure the cutting torque and tool breakage detection. A burst of AE signal was used as a triggering signal to inspect the cutting torque. A significant drop of cutting torque was utilized to detect tool breakage. The algorithm was implemented on a NI DAQ (Data Acquisition) board for in-process tool breakage detection. The result of experiment showed an excellent monitoring capability of the proposed tool breakage detection system. This system is available tool breakage monitoring through internet also provides this system's user with current cutting torque of induction motor.

Keywords

References

  1. Hong. I. J., 2003, "Speed Sensorless Torque Monitoring of Induction Spindle Motor on CNC Lathe using Internet," A master's thesis of The University of Seoul, Republic of Korea.
  2. Choi. D., Kwon. W. T., and Chu. C. N., "Real-time Monitoring of Tool Fracture in Turning using Sensor Fusion," The International Journal of Advanced Manufacturing Technology, Vol. 15, pp. 305-310, 1999. https://doi.org/10.1007/s001700050071
  3. Hong. I. J. and Kwon. W. T., "Speed-sensorless Torque Monitoring on CNC Lathe using Internet," Journal of the Korean Society of Precision Engineering, Vol. 21. No. 5, pp.99-105, 2004.
  4. Hong. I. J. and Kwon. W. T., "Speed Sensorless Torque Monitoring During Machining on CNC Lathe," Transactions of the KSME A, Vol. 28. No. 3, pp. 222-229, 2004.
  5. Mannan, M. A. and Broms, S., "Monitoring and Adaptive Control of Cutting Process by Means of Motor Power and Current Measurement," Annals of CIRP, Vol. 38, pp. 347-350, 1989. https://doi.org/10.1016/S0007-8506(07)62720-6
  6. Oh. Y. T., Kwon. W. T., and Chu. C. N., "Cutting Torque Control in Driling," Journal of the Korean Society of Precision Engineering, Vol. 18. No. 8, pp. 96-106, 2001.
  7. Stein, J.L., Colvin, D., Clever, G., and Wang, C. H., "Evaluation of DC Servo Machine Tool Feed Drives as Force Sensors," ASME J. of Dynamic Systems Measurement and Control, Vol. 108, pp. 279-288, 1986. https://doi.org/10.1115/1.3143795
  8. Stein, J.L. and Wang, C.H., "Analysis for Power Monitoring on AC Induction Drive Systems," Transaction of ASME Journal of Dynamic Systems, Measurement and Control, Vol. 112, pp. 239-248, 1990. https://doi.org/10.1115/1.2896131
  9. Nicholas P. Rubin, "Evaluation of Sarious Slip Estimation Techniques for an Induction Machine Operating under Field-oriented Control Conditions," IEEE Trans. Ind. Appl., Vol. 28, No. 6, pp. 1367-1375, 1992. https://doi.org/10.1109/28.175290
  10. Toshiyuki Kanmachi and Takahashi, "Sensorless Speed Control of an Induction Motor with no Influence of Secondary Resistance Variation," IEEE IAS Annual Meeting conference record, pp. 408-413, 1993.
  11. Peter Vas, 1998, "Sensorless vector and direct torque control," Oxford University Press.
  12. D. Hoadley, S. Moorthy, and M. Al-Dabbagh, "Steady- state phase-coordinate model of induction machines," Electric Power Systems Research, Vol. 57, pp. 189-194, 2001. https://doi.org/10.1016/S0378-7796(01)00079-7

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