Using sensory tool holder data for optimizing production processes

• Autorzy: Schörghofer Paul , Pauker Florian , Leder Norbert , Mangler Jürgen , Ramsauer Christoph , Bleicher Friedrich

Identyfikatory

DOI

10.5604/01.3001.0013.4079

• Języki publikacji: EN

Abstrakty

EN

Today's highly automated manufacturing specifies the service time of a tool in a way that the tooling costs are balanced against the potential costs of a tool failure. However, the potential cost induced by a tool malfunctioning are rather high. Therefore, the current state-of-the art tackles this issue by replacing the tools prematurely at fixed intervals. To tap into the potential of under-utilized tool runtime this work purposes the use of sensory-tool holders and an interfering feedback loop to the machine tool control system. Besides its real-time closed loop control, to avoid tool failure, it also provides data in the context of (a) the work order, (b) the produced part, (c) the NC-block and command line, on (d) specific machines. Based on this data an ex-post analysis to optimize tool-life and productivity scenarios becomes possible, e.g. custom NC-programs for certain work-orders, configurations and machines. Furthermore, downstreamed work steps can be changed e.g. only to measure produced workpieces if abnormal vibrations are reported by in-process-monitoring.

Słowa kluczowe

EN

adaptive control; condition monitoring; orchestration platform

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2019
• Tom: Vol. 19, No. 3
• Strony: 43--55
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Schörghofer Paul

• IFT – Institute for Production Engineering and Laser Technology, TU Wien, Austria

autor

Pauker Florian

• Austrian Center for Digital Production GmbH, Wien, Austria

autor

Leder Norbert

• IFT – Institute for Production Engineering and Laser Technology, TU Wien, Austria

autor

Mangler Jürgen

• Austrian Center for Digital Production GmbH, Wien, Austria

autor

Ramsauer Christoph

• IFT – Institute for Production Engineering and Laser Technology, TU Wien, Austria

autor

Bleicher Friedrich

• IFT – Institute for Production Engineering and Laser Technology, TU Wien, Austria

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).