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Discussion of Machine Tool Intelligence, Based on Selected Concepts and Research

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper discusses the need to create intelligent machine tools, the expected properties of such machine tools and the benefits they will bring to business and the development of manufacturing. The basis for machine tool intelligence, and the evolution of machine tools towards the development of their intelligent functions, with a special emphasis on control, digitization and virtualization systems, the role of the STP-NC standard, and the prediction of machine tool operating properties, are presented. The arising concepts of the development of intelligent machine tool functions, which take into account the monitoring and planning of a collisionless tool path, are discussed. The approach to achieving real time and the intelligent machine tool is described for copy milling. Also the directions of implementing intelligent functions by machine tool manufacturers are presented using the MAZAK Corporation as an example.
Rocznik
Strony
5--26
Opis fizyczny
Bibliogr. 28 poz., tab., rys.
Twórcy
  • Wroclaw University of Technology, Department of Machine Tools and Mechanical Technologies, Wroclaw, Poland
autor
  • Wroclaw University of Technology, Department of Machine Tools and Mechanical Technologies, Wroclaw, Poland
Bibliografia
  • [1] AHMAD R., TICHADOU S., HASCOET J.Y., 2013, 3D safe and intelligent trajectory generation for multi-axis machine tools using machine vision, International Journal of Computer Integrated Manufacturing, 26/4, 365-385.
  • [2] ALTINTAS Y., KERSTING P., BIERMANN D., BUDAK E., DENKENA B., LAZOGLU I., 2014, Virtual Process Systems for Part Machining Operations, CIRP Annals, 63/2, 585-606.
  • [3] BOSETTI P., LEONESIO M., PARENTI P., 2013, On development of an optimal control system for real-time process optimization on milling machine tools, 8th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Procedia CIRP 12, 31-36.
  • [4] DENKENA B., HENNING H., LORENZEN L.E., 2010, Genetics and intelligence: new approaches in production engineering, Prod. Eng. Res. Devel., 4, 65-73.
  • [5] DENKENA B., LITWINSKI M.L., BOUJNAH H., 2014, Process monitoring with a force sensitive axis-slide for machine tools, Procedia Technology, 15, 416-423.
  • [6] HARDWICK M., 2006, Manufacturing Integration using the STEP-NC DLL, 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
  • [7] JEDRZEJWSKI J., KWASNY W., 2015, Development of machine tool operational properties, Journal of Machine Engineering, 15/1, 5-24.
  • [8] KADIR A.A., XU X., HÄMMERLE E., 2011, Virtual machine tools and virtual machining-A technological review, Robotics and Computer-Integrated Manufacturing, 27, 494–508.
  • [9] LAGUIONIE R., RAUCH M., HASCOUT J-Y., 2008, Toolpaths programming in an intelligent STEP-NC manufacturing context, Journal of Machine Engineering, 8/1, 33-43.
  • [10] LAGUIONIE R., RAUCH M., 2015, STEP NC Tool path programming in an intelligent Step NC Manufacturing Context, PowerPoint PPT presentation, http://www.powershow.com/view/3cfade-ZTcxN/STEP_NC_ Tool_ path_ programming_in_an_intelligent_Step_NC_ Manufacturing_Context_powerpoint_ppt_presentation
  • [11] LAN H., LIU., R. ZHANG C., 2008, A multi-agent-based intelligent STEP-NC controller for CNC machine tools, International Journal of Production Research, 46/14, 3887-3907.
  • [12] MEKID S., PRUSCHEK P., HERNANDEZ J., 2009, Beyond intelligent manufacturing: A new generation of flexible intelligent NC machines, Mechanism and Machine Theory, 44, 466-476.
  • [13] MONOSTORI L., MARKUS A., Van Brussel H., Westkämper E., 1996, Machine learning approaches to manufacturing, CIRP Annals, 45/2, 672-712.
  • [14] ORBAN P., YEUNG M., JIANG Y., JIANG J., 2007, Machining error correction at batch processing, SAE Technical Paper, 2007-01-0886.
  • [15] PARK H-S., 2013, From automation to autonomy - a new trend for smart manufacturing, DAAAM International Scientific Book, Chapter 03, 75-110.
  • [16] PARK H-S., 2014, Development of a smart machining system using self-optimizing control, Int. J Adv. Manuf. Technol., 74, 1365–1380.
  • [17] RAMESCH R., JYOTHIRMAI S., LAVANYA K., 2013, Intelligent automation of design and manufacturing in machine tools using an open architecture motion controller, Journal of Manufacturing Systems, 32, 248– 259.
  • [18] SCHMIDT J., KRÜGER M., 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.uni-hannover.de/en-us/Pages/Teilprojekt-K2.aspx
  • [19] RAUCH M., LAGUIONIE R., HASCOET J.Y., SUH S.H., 2012, An advanced STEP-NC controller for intelligent machining processes, Robotics and Computer-Integrated Manufacturing, 28, 375-384.
  • [20] SHEN H., FU J., HE Y., YAO X., 2012, On-line Asynchronous Compensation Methods for static/quasi-static error implemented on CNC machine tools, International Journal of Machine Tools & Manufacture, 60, 14-26.
  • [21] SHINDOU M., KODAMA H., HIROGAKI T., AOYAMA E., 2015, Monitoring of End-Mill Process Based on Infrared Imagery with a High Speed Thermography, Key Engineering Materials, 625, 213-218.
  • [22] SHIRASE K., NAKAMOTO K., 2013, Simulation technologies for the development of an autonomous and Intelligent Machine Tool, International Journal of Automation Technology, 7/1, 6-15.
  • [23] SHIRASE K., 2014, Advanced technologies, to achieve intelligent machine tool, Proc. of the 16 th IMEC, Tokyo, Japan, 119-128.
  • [24] STOEPPLER G., MENZEL T., DOUGLAS S., 2005, Hardware-in-the-loop simulation of machine tools and manufacturing systems, IEE Computing and Control Engineering, 16, 10–5.
  • [25] SUZUKI Y., 2014, Development of intelligent functions of machine tools, Proc. of the 16 th IMEC, Tokyo, Japan, 139-159.
  • [26] UEDA K., 2014, Emergent synthesis approaches to biological manufacturing systems, Serviceology for Services: 1st International Conference of Serviceology, Springer.
  • [27] THARUMARAJARH A., WELLS A.J., NEMES L., 1996, Comparison of the bionic, fractal and holonic manufacturing systems concepts, International Journal of Computer Integrated Manufacturing, 9/3, 217-223.
  • [28] YASHIRO T., TAKAYUKI O., HIROYUKI S., 2013, Temperature measurement of cutting tool and machined surface layer in milling of CFRP, International Journal of Machine Tools & Manufacture, 70, 63-69.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-403b66ed-d9d4-4999-a8e1-62ffb93bf096
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