TY - JOUR
T1 - Industrial Digitalization in the Industry 4.0 era:
T2 - Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms
AU - Zambrano, Valentina
AU - Mueller-Roemer, Johannes
AU - Sandberg, Michael
AU - Talasila, Prasad
AU - Zanin, Davide
AU - Larsen, Peter Gorm
AU - Loeschner, Elke
AU - Thronicke, Wolfgang
AU - Pietraroia, Dario
AU - Landofi, Guiseppe
AU - Fontana, Alessandro
AU - Laspalas, Manuel
AU - Antony, Jibinraj
AU - Poser, Valerie
AU - Kiss, Tamas
AU - Bergweiler, Simon
AU - Pena Serna, Sebastian
AU - Izquierdo, Salvador
AU - Viejo, Ismail
AU - Juan, Asier
AU - Serrano, Francisco
AU - Stork, Andre
PY - 2022/7
Y1 - 2022/7
N2 - 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.
AB - 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.
KW - Cyber–Physical System
KW - Digital Twin
KW - Industry 4.0
KW - Reusable models
U2 - 10.1016/j.array.2022.100176
DO - 10.1016/j.array.2022.100176
M3 - Journal article
SN - 2590-0056
VL - 14
JO - Array
JF - Array
M1 - 100176
ER -