Concept of a Modular and System Model Driven Digital Twin for Engineering Education
Wilking F, Behringer M, Fett M, Götz S, Kirchner E, Wartzack S (2023)
Publication Type: Conference contribution
Publication year: 2023
Original Authors: Fabian Wilking, Marc Behringer, Michel Fett, Stefan Goetz, Eckhard Kirchner, Sandro Wartzack
Event location: Lille
DOI: 10.1109/SoSE59841.2023.10178517
Abstract
Driven by the opportunities for condition monitoring and new business models, Digital Twins have become a popular topic within research and industrial application over the last years. Therefore, universities must integrate the development of Digital Twins into their educational program to enable future engineers to overcome the challenges concomitant with Digital Twins. While a theoretical basis for Digital Twins is crucial e.g., hardware-software integration, Internet of Things (IoT) or simulation models, a practical combination of these heterogeneous components is also necessary to introduce the Digital Twin as a whole concept. With Model-Based Systems Engineering (MBSE) an approach was introduced to grasp complexity by using system models e.g., through SysML diagrams. Digital Twins are an example for advanced systems shaped by high complexity. The usage of system models is therefore likely. With this contribution, a concept is presented to combine system models and Digital Twins to create a prototype for academic education and the conduction of student projects.
Authors with CRIS profile
Fabian Wilking
Chair of Engineering Design
Marc Behringer
Chair of Engineering Design
Stefan Götz
Chair of Engineering Design
Sandro Wartzack
Chair of Engineering Design
Involved external institutions
Germany (DE)How to cite
APA:
Wilking, F., Behringer, M., Fett, M., Götz, S., Kirchner, E., & Wartzack, S. (2023). Concept of a Modular and System Model Driven Digital Twin for Engineering Education. In Proceedings of the IEEE International Conference on System of Systems Engineering (SoSE). Lille, FR.
MLA:
Wilking, Fabian, et al. "Concept of a Modular and System Model Driven Digital Twin for Engineering Education." Proceedings of the IEEE International Conference on System of Systems Engineering (SoSE), Lille 2023.
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