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기계장비의 메카트로닉스 고강성화 기술

Technologies to Realize High Stiffness Mechatronics Systems in Production Machines

  • 이찬홍 (한국기계연구원 초정밀시스템연구실) ;
  • 송창규 (한국기계연구원 초정밀시스템연구실) ;
  • 김병섭 (한국기계연구원 초정밀시스템연구실) ;
  • 김창주 (한국기계연구원 초정밀시스템연구실) ;
  • 허세곤 (한국기계연구원 초정밀시스템연구실)
  • Lee, Chan-Hong (Department of Ultra-precision Machines and Systems, Korea Institute of Machinery and Materials) ;
  • Song, Chang Kyu (Department of Ultra-precision Machines and Systems, Korea Institute of Machinery and Materials) ;
  • Kim, Byung-Sub (Department of Ultra-precision Machines and Systems, Korea Institute of Machinery and Materials) ;
  • Kim, Chang-Ju (Department of Ultra-precision Machines and Systems, Korea Institute of Machinery and Materials) ;
  • Heo, Segon (Department of Ultra-precision Machines and Systems, Korea Institute of Machinery and Materials)
  • 투고 : 2015.04.15
  • 심사 : 2015.04.21
  • 발행 : 2015.05.01

초록

One of common challenges in designing modern production machines is realizing high speed motion without sacrificing accuracy. To address this challenge it is necessary to maximize the stiffness of the mechanical structure and the control system with consideration on the main disturbance input, cutting forces. This paper presents analysis technologies for realizing high stiffness in production machines. First, CAE analysis techniques to evaluate the dynamic stiffness of a machine structure and a new method to construct the physical machine model for servo controller simulations are demonstrated. Second, cutting forces generated in milling processes are analyzed to evaluate their effects on the mechatronics system. In the effort to investigate the interaction among the structure, controller, and process, a flexible multi-body dynamics simulation method is implemented on a magnetic bearing stage as an example. The presented technologies can provide better understandings on the mechatronics system and help realizing high stiffness production machines.

키워드

참고문헌

  1. Altintas, Y., "Manufacturing Automation: Metal Cutting Mechanics, Machine Tool Vibrations, and CNC Design," Cambridge University Press, 2nd Ed., pp. 213-249, 2012.
  2. Law, M., Altintas, Y., and Phani, A. S., "Rapid Evaluation and Optimization of Machine Tools with Position-Dependent Stability," International Journal of Machine Tools and Manufacture, Vol. 68, pp. 81- 90, 2013. https://doi.org/10.1016/j.ijmachtools.2013.02.003
  3. Schorry, R. E., "Machine Tool Structural Modeling and Simulation," UNOVA Industrial Automation Systems Inc., 2000.
  4. Song, C. K., Kim, B.-S., Ro, S.-K., Lee, S., Min, B.- K., et al., "Accuracy Simulation Technology for Machine Control Systems," J. Korean Soc. Precis. Eng., Vol. 28, No. 3, pp. 292-300, 2011.
  5. Heo, S., Lee, C.-H., and Park, C. H., "Cutting Force Simulation in the NC Milling Process," Proc. of the 6th International Conference on Positioning Technology, pp. 462-464, 2014.
  6. Altintas, Y., Brecher, C., Weck, M., and Witt, S., "Virtual Machine Tool," CIRP Annals-Manufacturing Technology, Vol. 54, No. 2 pp. 115-138, 2005.
  7. Kim, B.-S., Park, J.-K., Kim, D.-I., Kim, S.-M., and Choi, H.-G., "Integrated Dynamic Simulation of a Magnetic Bearing Stage Compatible for Particle Free Environment," Proc. of the 14th International Conference of the European Society for Precision Engineering & Nanotechnology, pp. 455-458, 2014.