한국정밀공학회지 (Journal of the Korean Society for Precision Engineering)

  • 제32권4호
  • /
  • Pages.339-344
  • /
  • 2015
  • /
  • 1225-9071(pISSN)
  • /
  • 2287-8769(eISSN)
한국정밀공학회 (Korean Society for Precision Engineering)
권호 표지
DOI QR코드

DOI QR Code

머시닝 센터의 각 축별 에너지 모니터링 시스템

Energy Consumption Monitoring System for Each Axis of Machining Center

  • 김재혁 (한국생산기술연구원 IT융합공정연구실용화그룹) ;
  • 남성호 (한국생산기술연구원 IT융합공정연구실용화그룹) ;
  • 이동윤 (한국생산기술연구원 IT융합공정연구실용화그룹)
  • Kim, Jae Hyeok (IT Converged Process R&BD Group, Korea Institute of Industrial Technology) ;
  • Nam, Sung Ho (IT Converged Process R&BD Group, Korea Institute of Industrial Technology) ;
  • Lee, Dong Yoon (IT Converged Process R&BD Group, Korea Institute of Industrial Technology)
  • 투고 : 2015.03.10
  • 심사 : 2015.03.20
  • 발행 : 2015.04.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Machine tools are one of the energy-intensive equipment used in the manufacturing industry. The importance of energy has increased and the machine tools are required to be energy-efficient. The servo systems of the machine tool consume electrical power to rotate a spindle and to feed a tool during machining. Servo system consumes a lot of energy when the machine tool is operated. The energy consumption pattern of each axis needs to be investigated in order to optimize the machining process with regard to energy cost. In this paper, an energy monitoring system is developed considering various measuring points of servo system in order to grasp the energy consumption pattern of each axis.

키워드

참고문헌

  1. Zhou, Y., Mei, X., Zhang, Y., Jiang, G., and Sun, N., "Current-Based Feed Axis Condition Monitoring and Fault Diagnosis," Proc. of the 4th IEEE Conference on Industrial Electronics and Applications, pp. 1191-1195, 2009.
  2. Li, X., Du, R., Denkena, B., and Imiela, J., "Tool Breakage Monitoring using Motor Current Signals for Machine Tools with Linear Motors," IEEE Transactions on Industrial Electronics, Vol. 52, No. 5, pp. 1403-1408, 2005. https://doi.org/10.1109/TIE.2005.855656
  3. Yao, Y., Li, X., and Yuan, Z., "Tool Wear Detection with Fuzzy Classification and Wavelet Fuzzy Neural Network," International Journal of Machine Tools and Manufacture, Vol. 39, No. 10, pp. 1525-1538, 1999. https://doi.org/10.1016/S0890-6955(99)00018-8
  4. Yoon, H.-S., Lee, J.-Y., Kim, M.-S., and Ahn, S.-H., "Empirical Power-Consumption Model for Material Removal in Three-Axis Milling," Journal of Cleaner Production, Vol. 78, pp. 54-62, 2014. https://doi.org/10.1016/j.jclepro.2014.03.061
  5. Dietmair, A. and Verl, A., "Energy Consumption Modeling and Optimization for Production Machines," Proc. of the IEEE International Conference on Sustainable Energy Technologies, pp. 574-579, 2008.