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Machine tool development from high level of holistic improvement to intelligence

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of the paper is to identify the research efforts of the coming machine tool improvements towards the intelligent level of development. Design/methodology/approach: An approach to the machine intelligence will be based on a holistic modelling of machine tool system components and a process generating tool path, digitalization, virtualization and improvement for adaptive control of machine tool and process behaviour in real time. Findings: Intelligent procedures for machine and process efficiency control based on real time machine and process monitoring, on-line tool path generation, optimization and adaptive control. Research limitations/implications: A real time reachability for the high speed cutting and achievable computing power for the real time simulation of the tool path generation process. Practical implications: High efficient manufacturing. Originality/value: A unique presentation of the state of the art in knowledge oriented on concepts of intelligent machine tools generation as the coming level of development.
Rocznik
Strony
55--64
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
  • Department of Machine Tools and Mechanical Technologies, Wroclaw University of Technology, ul. Wybrzeże Wyspiańskiego 27, 50-370 Wroclaw, Poland
Bibliografia
  • [1] H.S. Park, From automation to autonomy - a new trend for smart manufacturing, DAAAM International Scientific Book 03 (2013) 75-110.
  • [2] L. Monostori, A. Markus, H. Van Brussel, E. West-kamper, Machine learning approaches to manufacturing, CIRP Annals-Manufacturing Technology 45/2 (1996) 672-712.
  • [3] J. Jędrzejewski, W. Kwaśny, Development of machine tool operational properties, Journal of Machine Engineering 15/1 (2015) 5-24.
  • [4] Y. Altintas, P. Kersting, D. Biermann, E. Budak, B. Denkena, I. Lazoglu, Virtual process systems for part machining operations, CIRP Annals-Manufacturing Technology 63/2 (2014) 585-606.
  • [5] J. Jędrzejewski, W. Kwaśny, Z. Kowal, Z. Winiarki, Development of the modelling and numerical simulation of the thermal properties of machine tools, Journal of Machine Engineering 14/3 (2014) 5-20.
  • [6] P. Bosetti, M. Leonesio, P. Parenti, On development of an optimal control system for real-time process optimization on milling machine tools, Proceedings of the 8th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Procedia CIRP 12 (2013) 31-36.
  • [7] M. Hardwick, Manufacturing Integration Using the STEP-NC DLL, (2006) 1-14, https://www.google.pl/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=0CB8QFjAAahUKEwjho8qsvc_IAhVDv3IKHbBLDJg&url=http%3A%2F%2Fwww.steptools.com%2Fsupport%2Fstepnc_docs%2Fstepncdll%2FLibrary_white.pdf&usg=AFQjCNG5V9pj0p7eu9CyfLVe5NCIqfCDcQ&sig2=vHTqusMcpMhHj_blq2mukw&cad=rja
  • [8] M. Rauch, R. Laguionie, J.Y. Hascoet, S.H. Suh, An advanced STEP-NC controller for intelligent machining processes, Robotics and Computer-Integrated Manufacturing 28 (2012) 375-384.
  • [9] H. Lan, R. Liu, C. Zhang, A multi-agent-based intelligent STEP-NC controller for CNC machine tools, International Journal of Production Research 46/14 (2008) 3887-3907.
  • [10] S. Rock, Hardware in the loop simulation of production systems dynamics, Production Engineering Research and Development 5 (2011) 329-337.
  • [11] B. Denkena, H. Henning, L.E. Lorenzen, Genetics and intelligence: new approaches in production engineering, Production Engineering Research and Development 4 (2010) 65-73.
  • [12] B. Denkena, M.L. Litwinski, H. Boujnah, Process monitoring with a force sensitive axis-slide for machine tools, Procedia Technology 15 (2014) 416-423.
  • [13] J. Schmidt, M. Kruger, Planning and monitoring of shape cutting manufacturing processes based on inherent part information, Collaborative Research Centre 653, Gentelligent Components in Their Lifecycle, Subproject K2, http://www.sfb653.unihannover.de/en-us/Pages/Teil projekt-K2.aspx.
  • [14] K. Shirase, K. Nakamoto, Simulation technologies for the development of an autonomous and Intelligent Machine Tool, International Journal of Automation Technology 7/1 (2013) 6-15.
  • [15] T. Moriwaki, Intelligent machine tools, Journal of the Japan Society of Mechanical Engineers 96/901 (1993) 1010-1014.
  • [16] K. Ueda, Emergent synthesis approaches to biological manufacturing systems, Serviceology for Services: 1st International Conference of Serviceology, Springer, 2014.
  • [17] K. Shirase, Advanced technologies, to achieve intelligent machine tool, Proceedings of the 16th IMEC, Tokyo, Japan, 2014, 119-128.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-be66501c-a326-4164-b031-fa66cc45535f
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