Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2016, Article ID 9814973, 14 pages
http://dx.doi.org/10.1155/2016/9814973
Research Article

Implementation of Real-Time Machining Process Control Based on Fuzzy Logic in a New STEP-NC Compatible System

School of Mechatronics Engineering, Harbin Institute of Technology, 92 West Dazhi Street, Nan Gang District, Harbin 150001, China

Received 15 March 2016; Revised 18 April 2016; Accepted 5 May 2016

Academic Editor: Chuanxi Qian

Copyright © 2016 Po Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. L. Li, F. Liu, B. Chen, and C. B. Li, “Multi-objective optimization of cutting parameters in sculptured parts machining based on neural network,” Journal of Intelligent Manufacturing, vol. 26, no. 5, pp. 891–898, 2015. View at Publisher · View at Google Scholar · View at Scopus
  2. H. Huang, A. P. Li, and L. Y. Xu, “Fuzzy control of milling process with constraint of spindle power,” in Proceedings of the 7th World Congress on Intelligent Control and Automation (WCICA '08), vol. 1–23, pp. 7936–7939, Chongqing, China, June 2008.
  3. U. Zuperl, F. Cus, and M. Reibenschuh, “Neural control strategy of constant cutting force system in end milling,” Robotics and Computer-Integrated Manufacturing, vol. 27, no. 3, pp. 485–493, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. U. Zuperl and F. Cus, “System for off-line feedrate optimization and neural force control in end milling,” International Journal of Adaptive Control and Signal Processing, vol. 26, no. 2, pp. 105–123, 2012. View at Publisher · View at Google Scholar · View at Scopus
  5. E. Osaba, E. Onieva, F. Diaz, R. Carballedo, P. Lopez, and A. Perallos, “A migration strategy for distributed evolutionary algorithms based on stopping non-promising subpopulations: a case study on routing problems,” International Journal of Artificial Intelligence, vol. 13, no. 2, pp. 46–56, 2015. View at Google Scholar · View at Scopus
  6. R.-E. Precup, M. L. Tomescu, and S. Preitl, “Fuzzy logic control system stability analysis based on Lyapunov's direct method,” International Journal of Computers, Communications & Control, vol. 4, no. 4, pp. 415–426, 2009. View at Publisher · View at Google Scholar · View at Scopus
  7. C. Qian, “Global attractivity of periodic solutions in a higher order difference equation,” Applied Mathematics Letters, vol. 26, no. 5, pp. 578–583, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  8. T. M. Guerra and L. Vermeiren, “LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi-Sugeno's form,” Automatica, vol. 40, no. 5, pp. 823–829, 2004. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. S. Kumar, A. Nassehi, S. T. Newman, R. D. Allen, and M. K. Tiwari, “Process control in CNC manufacturing for discrete components: a STEP-NC compliant framework,” Robotics and Computer-Integrated Manufacturing, vol. 23, no. 6, pp. 667–676, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. R. Laguionie, M. Rauch, and J.-Y. Hascoet, “Simulation and optimization in a multi-process environment using STEP-NC,” in Proceedings of the IEEE International Conference on Control and Automation (ICCA '09), pp. 2384–2391, Christchurch, New Zealand, December 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. J. G. Campos and M. Hardwick, “Manufacturing traceability automation using features and nc-functions,” International Journal of Computer Integrated Manufacturing, vol. 22, no. 2, pp. 112–128, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. J. G. Campos and L. R. Miguez, “Standard process monitoring and traceability programming in collaborative CAD/CAM/CNC manufacturing scenarios,” Computers in Industry, vol. 62, no. 3, pp. 311–322, 2011. View at Publisher · View at Google Scholar · View at Scopus
  13. M. Wosnik, H. Rüdele, and P. Klemm, “Process-informed machining objects for closed-loop process planning,” International Journal of Computer Integrated Manufacturing, vol. 22, no. 11, pp. 1054–1064, 2009. View at Publisher · View at Google Scholar
  14. S. Kumar, S. T. Newman, A. Nassehi et al., “An information model for process control on machine tools,” in Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology, vol. 66 of Advances in Intelligent and Soft Computing, pp. 1565–1582, Springer, Berlin, Germany, 2010. View at Publisher · View at Google Scholar
  15. F. Ridwan, X. Xu, and G. Y. Liu, “A framework for machining optimisation based on STEP-NC,” Journal of Intelligent Manufacturing, vol. 23, no. 3, pp. 423–441, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. F. Ridwan and X. Xu, “Advanced CNC system with in-process feed-rate optimisation,” Robotics and Computer-Integrated Manufacturing, vol. 29, no. 3, pp. 12–20, 2013. View at Publisher · View at Google Scholar · View at Scopus
  17. S. Engin and Y. Altintas, “Mechanics and dynamics of general milling cutters. Part I: helical end mills,” International Journal of Machine Tools & Manufacture, vol. 41, no. 15, pp. 2195–2212, 2001. View at Publisher · View at Google Scholar · View at Scopus
  18. ISO, “Industrial automation systems and integration—product data representation and exchange—part 11: description methods: the EXPRESS language reference manual,” ISO 10303-11:2004, 2004. View at Google Scholar
  19. ISO, “Data model for computerized numerical controllers,” Part 10: General Process Data, pp. 1–172, 2001.
  20. ISO, “Data model for computerized numerical controllers,” Part 11: Process data for milling,pp. 1–81, 2002.
  21. ISO, “Data model for computerized numerical controllers,” in Part 111: Tools for Milling, pp. 1–20, 2002. View at Google Scholar
  22. “iso-14649-toolkit,” 2013, http://code.google.com/p/iso-14649-toolkit/.