Digital twins combine real-world data and simulation models to create digital representations that exhibit the same behavior as their real-world counterparts. They are currently prominent in the field of production engineering. However, they will also play an important role in domains such as automotive and medical engineering.
The research and development work in the »Digital Twins« R&D Lab focuses on simulation and software methods for digitizing products. Using the Karat racing car as an application example, we demonstrate current development challenges of various component parts of an electric racing car. We cover the entire range of the creation of digital twins - from the automated 3D geometry generation of the environment including dynamic semantic understanding, to the creation and validation of physical models of complex components including detailed material descriptions, to the virtual validation of networked, highly automated and complex systems.
The aim of the research work is to dovetail the various digital description levels via suitable interfaces or by co-simulation of cognitive digital twins, using the example of end-to-end multiscale production and product simulation of fiber-reinforced plastic components.