- Tytuł:
- Using sensory tool holder data for optimizing production processes
- Autorzy:
-
Schörghofer, Paul
Pauker, Florian
Leder, Norbert
Mangler, Jürgen
Ramsauer, Christoph
Bleicher, Friedrich - Powiązania:
- https://bibliotekanauki.pl/articles/100070.pdf
- Data publikacji:
- 2019
- Wydawca:
- Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
- Tematy:
-
adaptive control
condition monitoring
orchestration platform - Opis:
- 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.
- Źródło:
-
Journal of Machine Engineering; 2019, 19, 3; 43-55
1895-7595
2391-8071 - Pojawia się w:
- Journal of Machine Engineering
- Dostawca treści:
- Biblioteka Nauki
Artykuł