A holistic approach for developing and commissioning data driven CPPS functionality in manufacturing systems ; Ein ganzheitlicher Ansatz zur Entwicklung und Inbetriebnahme von CPPS-Funktionalitäten in Produktionssystemen
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| Titel: | A holistic approach for developing and commissioning data driven CPPS functionality in manufacturing systems ; Ein ganzheitlicher Ansatz zur Entwicklung und Inbetriebnahme von CPPS-Funktionalitäten in Produktionssystemen |
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| Autoren: | Wiemer, Hajo, Hellmich, Arvid, Ihlenfeldt, Steffen |
| Publikationsjahr: | 2017 |
| Bestand: | Publikationsdatenbank der Fraunhofer-Gesellschaft |
| Schlagwörter: | cyber-physical production systems, process data analysis, process chain, parameter adaptation |
| Time: | 620, 670 |
| Beschreibung: | S.257-265 ; The manufacturing of high-tech materials such as forming of composites often requires complex process chains with a multitude of parameters and parameter interactions. Hence, the manufacturing processes themselves and especially monitoring and controlling those processes becomes increasingly complex. Currently developed Cyber-Physical Production Systems (CPPS) shall comprise data acquisition by sensors, connected actuators, communication functionality as well as data analysis based on mathematical models and autonomous process control. Hence, it becomes possible to detect the current process state and to adjust process parameters in real-time in an optimal way accordingly. |
| Publikationsart: | conference object |
| Sprache: | English |
| Relation: | International Conference on Advanced Manufacturing Engineering and Technologies (NEWTECH) 2017; 5th International Conference on Advanced Manufacturing Engineering and Technologies, NEWTECH 2017. Proceedings; https://publica.fraunhofer.de/handle/publica/396880 |
| DOI: | 10.1007/978-3-319-56430-2_18 |
| Verfügbarkeit: | https://publica.fraunhofer.de/handle/publica/396880 https://doi.org/10.1007/978-3-319-56430-2_18 |
| Dokumentencode: | edsbas.E99C4C7 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | S.257-265 ; The manufacturing of high-tech materials such as forming of composites often requires complex process chains with a multitude of parameters and parameter interactions. Hence, the manufacturing processes themselves and especially monitoring and controlling those processes becomes increasingly complex. Currently developed Cyber-Physical Production Systems (CPPS) shall comprise data acquisition by sensors, connected actuators, communication functionality as well as data analysis based on mathematical models and autonomous process control. Hence, it becomes possible to detect the current process state and to adjust process parameters in real-time in an optimal way accordingly. |
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| DOI: | 10.1007/978-3-319-56430-2_18 |