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        Echtzeitsimulation in der Produktionsautomatisierung

        Beiträge zu Virtueller Inbetriebnahme, Digitalem Engineering und Digitalen Zwillingen

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        Contributor(s)
        Verl, Alexander (editor)
        Röck, Sascha (editor)
        Scheifele, Christian (editor)
        Language
        German
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        Abstract
        Dieses Open Access Buch befasst sich in 22 Kapiteln von 41 Autoren aus Wissenschaft und Praxis mit einer Sammlung unabhängiger Beiträge, die den heutigen Stand der Forschung und Technik im Bereich der Echtzeitsimulation von Maschinen und Anlagen aufzeigen. Neben Forschungsergebnissen wird der erfolgreiche Transfer in die Praxis anhand ausgewählter Beispiele vorgestellt. Das Sammelwerk umfasst das Themenspektrum von der Echtzeitsimulation für die Virtuelle Inbetriebnahme über deren Einsatz in der Entwicklungs- und Betriebsphase bis hin zur Nutzung von Simulationsmodellen in Steuerungsfunktionen.
        URI
        https://library.oapen.org/handle/20.500.12657/87647
        Keywords
        Digitale Fabrik; Virtuelle Inbetriebnahme; Modellbildung und (Echtzeit-)Simulation; Digitales Engineering; Digitale Methoden; Virtuelle Modelle; Virtuelle Werkzeuge; ISG-virtuos
        DOI
        10.1007/978-3-662-66217-5
        ISBN
        9783662662175, 9783662662175, 9783662662168
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Berlin, Heidelberg, 2024
        Imprint
        Springer Vieweg
        Classification
        Production and industrial engineering
        Automatic control engineering
        Computer modelling and simulation
        Precision engineering and manufacturing
        Pages
        392
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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