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Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

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  • Valentina Zambrano, Instituto Tecnológico de Aragón - ITAINNOVA
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  • Johannes Mueller-Roemer, Fraunhofer Institute for Computer Graphics Research
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  • Michael Sandberg
  • Prasad Talasila
  • Davide Zanin, Scuola Universitaria Professionale della Svizzera Italiana
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  • Peter Gorm Larsen
  • Elke Loeschner, Atos Information Technology GmbH
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  • Wolfgang Thronicke, Atos Information Technology GmbH
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  • Dario Pietraroia, Technology Transfer System
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  • Guiseppe Landofi, Scuola Universitaria Professionale della Svizzera Italiana
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  • Alessandro Fontana, Scuola Universitaria Professionale della Svizzera Italiana
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  • Manuel Laspalas, Instituto Tecnológico de Aragón - ITAINNOVA
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  • Jibinraj Antony, Deutsches Forschungszentrum Für Künstliche Intelligenz – DFKI GmbH
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  • Valerie Poser, Deutsches Forschungszentrum Für Künstliche Intelligenz – DFKI GmbH
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  • Tamas Kiss, University of Westminster
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  • Simon Bergweiler, Deutsches Forschungszentrum Für Künstliche Intelligenz – DFKI GmbH
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  • Sebastian Pena Serna, Clesgo GmbH
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  • Salvador Izquierdo, Instituto Tecnológico de Aragón - ITAINNOVA
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  • Ismail Viejo, Instituto Tecnológico de Aragón - ITAINNOVA
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  • Asier Juan, Instituto Tecnológico de Aragón - ITAINNOVA
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  • Francisco Serrano, Instituto Tecnológico de Aragón - ITAINNOVA
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  • Andre Stork, Fraunhofer Institute for Computer Graphics Research IGD

Digital Twins (DTs) are real-time digital models that allow for self-diagnosis, self-optimization and self-configuration without the need for human input or intervention. While DTs are a central aspect of the ongoing fourth industrial revolution (I4.0), this leap forward may be reserved for the established, large-cap companies since the adoption of digital technologies among Small and Medium-size Enterprises (SMEs) is still modest. The aim of the H2020 European Project ”DIGITbrain” is to support a modular construction of DTs by reusing their fundamental building blocks, i.e., the Models that describe the behavior of the DT, their associated Algorithms and the Data required for the evaluation. By offering these building blocks as a service via a DT Platform (a Digital Twin Environment), the technical barriers among SMEs to adopt these technologies are lowered. This paper describes how digital models can be classified, reused and authored on such DT Platforms. Through experimental analyses of three industrial cases, the paper exemplifies how DTs are employed in relation to product assembly of agricultural robots, polymer injection molding, as well as laser-cutting and sheet-metal forming of aluminum.

OriginalsprogEngelsk
Artikelnummer100176
TidsskriftArray
Vol/bind14
Antal sider29
ISSN2590-0056
DOI
StatusUdgivet - jul. 2022

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