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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Názov: 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
Autori: Wiemer, Hajo, Hellmich, Arvid, Ihlenfeldt, Steffen
Rok vydania: 2017
Zbierka: Publikationsdatenbank der Fraunhofer-Gesellschaft
Predmety: cyber-physical production systems, process data analysis, process chain, parameter adaptation
Time: 620, 670
Popis: 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.
Druh dokumentu: conference object
Jazyk: 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
Dostupnosť: https://publica.fraunhofer.de/handle/publica/396880
https://doi.org/10.1007/978-3-319-56430-2_18
Prístupové číslo: edsbas.E99C4C7
Databáza: BASE
Popis
Abstrakt: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.
DOI:10.1007/978-3-319-56430-2_18