USING SENSORY TOOL HOLDER DATA FOR OPTIMIZING PRODUCTION PROCESSES
| Autor: | Friedrich Bleicher, Florian Pauker, Jürgen Mangler, Norbert Leder, Christoph Ramsauer, Paul Schörghofer |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Journal of Machine Engineering. 19:44-56 |
| ISSN: | 2391-8071 1895-7595 |
| DOI: | 10.5604/01.3001.0013.4079 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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