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In-process control with a sensory tool holder to avoid chatter

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Hydro-, steam- and gas- turbines, aircraft components or moulds are milled parts with complex geometries and high requirements for surface quality. The production of such industry components often necessitates the use of long and slender tools. However, instable machining situations together with work pieces with thin wall thickness can lead to dynamic instabilities in the milling processes. Resulting chatter vibrations cause chatter marks on the work piece surface and have influence on the tool lifetime. In order to detect and avoid the occurrence of process instabilities or process failures in an early stage, the Institute for Production Engineering and Laser Technology (IFT) developed an active control system to allow an in-process adaption of machining parameters. This system consists of a sensory tool holder with an integrated low cost acceleration sensor and wireless data transmission under real time conditions. A condition monitoring system using a signal-processing algorithm, which analyses the received acceleration values, is coupled to the NC- control system of the machine tool to apply new set points for feed rate and rotational speed depending on defined optimisation strategies. By the implementation of this system process instabilities can be avoided.
Słowa kluczowe
Rocznik
Strony
16--27
Opis fizyczny
Bibliogr. 12 poz., rys.
Twórcy
autor
  • IFT – Institute for Production Engineering and Laser Technology, TU Wien, Austria
  • IFT – Institute for Production Engineering and Laser Technology, TU Wien, Austria
autor
  • IFT – Institute for Production Engineering and Laser Technology, TU Wien, Austria
Bibliografia
  • [1] http://pro-micron.de/spike/wp-content/uploads/2017/06/Tool-Analyser-2016-deutsch-2.pdf
  • [2] http://pro-micron.de/spike/wp-content/uploads/2017/09/Datenblatt_spike-expert-easyinline-ENGLISCH.pdf
  • [3] www.kometgroup.com/fileadmin/user_upload/9_downloads/informationen/KOMET-BRINKHAUS-ToolScope_DE.pdf
  • [4] Okuma´s Intelligent Technology, 2016, Intelligent Technology-E-(8a)-400 (Jun 2016).
  • [5] MÖHRING H.-C., NGUYEN Q.P., KUHLMANN A., 2016, Intelligent tools for predictive process control, 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016), 542-543.
  • [6] www.smarttool.tu-darmstadt.de/smarttool/index.de.jsp
  • [7] SAUER M., GROSCH T., ABELE E., 2014, SmartTool – Entwicklung eines intelligenten Werkzeugsystems, ZWF – Zeitschrift für wirtschaftlichen Fabrikbetrieb, 542-545.
  • [8] www.iwb.mw.tum.de/bazmod/
  • [9] DENKENA B., DAHLMANN D, BOUJNAH H., 2017, Tool Deflection Control by a Sensory Spindle Slide for Milling Machine Tools, Procedia CIRP, 62, 329-334.
  • [10] https://www.ifw.uni-hannover.de/fileadmin/IFW/02_Studium/AML/2010-05-31_Skript_HSC.pdf
  • [11] QUINTANA G., CIURANA J., 2011, Chatter in machining processes: A review, International Journal of Machine Tools & Manufacture, 365-366.
  • [12] www.apserwis.com.pl/db/oferta/1d789ed0bbd0da9d8f1d11f7668626db.pdf
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d46f3151-3825-4bab-a373-da267950efa5
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