Internet of Production – Workstream B1 - Integrated Computational Health Engineering
The main goals of Workstream B1 - "Integrated Computational Health Engineering" of the "Internet of Production" Cluster of Excellence are the process-data-supported mapping of the digital twin from the production chain to the product life cycle. Special attention is paid to the consideration of defects and their impact on the application.
The digital twin can be seen as a "digital representation of things from the real world" [1]. It can describe the characteristics of an object as well as its behavior with the help of simulation models. The digital twin is thus a combination of a pure facility information model and a simulation [2]. The representation of the digital twin must therefore include the defect development in the material and an automated linkage of the test results along the process chain is essential. The database structure used for this purpose contains, manages and links all relevant test and simulation results. In order to react to changes during production, the digital twin must be recorded in real-time in the form of a "data stream". Due to the enormous amount of data, the essence of the digital twin, the "Digital Shadow" is used here. This offers the advantage of a reduced amount of data, which can then be processed in real time.
In the project, the intelligent networking of all process and material-immanent parameters will be advanced and made available for in situ simulation. The decisive development takes place in the use case press hardening, in which modern medium-manganese steels as well as additive tool manufacturing are to be developed and fully described over the next seven years.
References:
[1] Gesellschaft für Informatik. (2017). Digitaler Zwilling. Abgerufen von: https://gi.de/informatiklexikon/digitaler-zwilling/
[2] Schüller, A., Modersohn, A., Kawohl, M., & Wrede, J. (2019). Der Digitale Zwilling in der Prozessindustrie. atp magazin, 61(1-2), 70-81.