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        Twin-Control

        A Digital Twin Approach to Improve Machine Tools Lifecycle

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        Contributor(s)
        Armendia, Mikel (editor)
        Ghassempouri, Mani (editor)
        Ozturk, Erdem (editor)
        Peysson, Flavien (editor)
        Language
        English
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        Abstract
        This open access book summarizes the results of the European research project “Twin-model based virtual manufacturing for machine tool-process simulation and control” (Twin-Control). The first part reviews the applications of ICTs in machine tools and manufacturing, from a scientific and industrial point of view, and introduces the Twin-Control approach, while Part 2 discusses the development of a digital twin of machine tools. The third part addresses the monitoring and data management infrastructure of machines and manufacturing processes and numerous applications of energy monitoring. Part 4 then highlights various features developed in the project by combining the developments covered in Parts 3 and 4 to control the manufacturing processes applying the so-called CPSs. Lastly, Part 5 presents a complete validation of Twin-Control features in two key industrial sectors: aerospace and automotive. The book offers a representative overview of the latest trends in the manufacturing industry, with a focus on machine tools.
        URI
        http://library.oapen.org/handle/20.500.12657/22911
        Keywords
        Engineering; Manufactures; Vibration; Dynamical systems; Dynamics; Control engineering; Machinery
        DOI
        10.1007/978-3-030-02203-7
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2019
        Classification
        Engines and power transmission
        Materials science
        Production and industrial engineering
        Automatic control engineering
        Pages
        296
        Rights
        https://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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