한국생산제조학회 학술지 영문 홈페이지
[ Special Issue : High-reliability machine part design technologies ]
Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 28, No. 3, pp.198-202
ISSN: 2508-5107 (Online)
Print publication date 15 Jun 2019
Received 10 May 2019 Revised 30 May 2019 Accepted 10 Jun 2019
DOI: https://doi.org/10.7735/ksmte.2019.28.3.198

가속도센서를 이용한 절삭공구 무선 상태모니터링 시스템 구현

김용태a ; 강유수a ; 김형진a ; 서영호a ; 김병희a, *
Implementation of Wireless Condition Monitoring System in a Cutting Tool Using Accelerometer
Yong Tae Kima ; Yoo Su Kanga ; Hyung Jin Kima ; Young Ho Seoa ; Byeong Hee Kima, *
aDepartment of Advanced Mechanical Engineering (Mechatronics Engineering), Kangwon National Univercity, 1, Kangwondaehak-gil, Chuncheon, Gangwon, 24341, Korea

Correspondence to: *Tel.: +82-33-250-6374 Fax: +82-33-259-5551 E-mail address: kbh@kangwon.ac.kr (Byeong Hee Kim).

Abstract

In this study, we implemented a wireless monitoring system by installing an MEMS accelerometer, an Arduino board, and a Bluetooth low energy communication module inside a tool holder, to monitor the tool condition during the end milling process. We measured the received signal strength in an actual work environment, using the antenna installation method for the wireless communication sensor installed in the tool holder.

The data was measured during idling and cutting, and the cutting waveform for each tool edge was detected. We confirmed that the developed wireless monitoring system can detect the cutting waveform of the tool during machining, in an actual work environment. Additionally, our wireless monitoring system is cheaper than existing monitoring systems.

Keywords:

Wireless monitoring, Accelerometer, Machine tools, Bluetooth, Milling process

Acknowledgments

이 논문은 2019년도 정부(산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임(P0002092, 2019년 산업전문인력역량강화사업).

References

  • Jang, S.M., Kang, S.G., 2017, A Study on the Quantitative Analysis of Cutting Parameters and Prediction Model for Surface Roughness in Milling, Journal of the Korean Society of Manufacturing Process Engineers, 16:3 125-130. [https://doi.org/10.14775/ksmpe.2017.16.3.125]
  • Youn, J. W., 2000, A Study on the Detection of Chatter Vibration using Cutting Force Measurement, Journal of the Korean Society of Machine Tool Engineers, 9:3 150-159.
  • Park, Y. B., Choi, D. K., Kim, S. J., 2006, A study on the tool wear according to cutting force signal shape variation in face milling, Proceedings of the KSMPE Conference, 44-49.
  • Kang, M. C., Kim, J. S., 2001, A monitoring technique using a multi-sensor in high speed machining, Journal of Materials Processing Technology, 113 331-336. [https://doi.org/10.1016/S0924-0136(01)00698-7]
  • Altintas, Y., 1992, Prediction of Cutting Forces and Tool Breakage in Milling from Feed Drive Current Measurements, Trans. of the ASME, J. of Eng. for Ind., 114 386-392. [https://doi.org/10.1115/1.2900688]
  • Kim, S. H., Ahn, J. J., Park, H. Y., 1995, Tool Breakage Detection using Pattern Characteristics of Feed Motor Current in Milling Operations, Journal of the Korean Society for Precision Engineering, 12:2 23-36.
  • Kim, G. D., Oh, Y. T., Chu, C. N., 1998, Tool Fracture Detection in Milling Process (Ⅰ) -Part 1 : Development of Tool Fracture Index -, Journal of the Korean Society for Precision Engineering, 15:5 100-109.
  • Song, K. H., Lee, D. Y., 2018, The State of the Art in Monitoring Technology of Machining Operations, Journal of the Korean Society for Precision Engineering, 35:3 293-304. [https://doi.org/10.7736/KSPE.2018.35.3.293]
  • Yang, T. H., Cho, H. C., Kim, S. D., Kim, C. H., Kim, S. H., 2017, Comparative Study for Information Collection System using Short-range Wireless Technology in Internet of Things, Proceedings of Symposium of the Korean Institute of communications and Information Sciences, 1288-1289.
  • Kim, M. G., Han, D. W., Lee, J. W, 2000,Design and Implementation of Bluetooth Protocol, Proceedings of Symposium of the Korean Institute of communications and Information Sciences, 1036-1039.