Representation and utilization of digital twin models for industrial manufacturing

David Dietrich, Institute for Control Engineering, University of Stuttgart

Solving current challenges in the manufacturing industry requires a shift in paradigm of how industrial production is thought, engineered and implemented. Software-defined Manufacturing (SDM) replaces the production-system-centric approach by a production-solution-focused approach. Solutions are engineered virtually using software tools, defining asset administration shell (AAS) based digital twins alongside with their physical counterpart forming a data source for subsequent services. A specific use case is the automated manufacturing toolchain which enables the manufacturing of completely individualized products. Based on a Product-Process-Resource (PPR) relation of the digital twins, feature based products enable the planning of skill-based resources. Furthermore an individual generation and validation of process programs can be achieved by integrated CAx services for e.g., path planning for milling processes. The consistency of the digital twins and the toolchain make it possible to plan at production runtime and thus create solutions for unsteady environmental conditions.

Digital Twin Technology - A Digital Learning Tool

Ion Barosan, Eindhoven University of Technology

We present digital twin technology as a teaching aid meant to enable students grasp the virtual engineering model-based approach-based integration of several fields. By letting students see and interact with intricate systems in a virtual environment, this technology helps them to better understand transdisciplinary connections and useful applications. Furthermore, we apply digital twin technology as a digital learning thread in academic settings.

Digital Product Configuration Twin in Software-Defined Vehicles

Christer Neimöck, T-Systems

Software-defined vehicles (SDV) and data-driven processes for the development of ADAS and autonomous driving are changing the business models for mobility and the entire automotive industry. The connected and automated vehicle interacts with its environment, road users and service providers. Continuous updates of validated software functions will be essential not only for stable and seamless services, but also for predictions based on dynamic data. In order to transfer software updates over the air (OTA) to vehicle fleets, digital twins will be essential in the future, in addition to end-to-end digital type approvals (homologation processes), software update management processes (SUMS) in accordance with UNECE R156 and mastering the exponentially increasing number of variants. The Digital Product Configuration Twin in particular enables the provision of data between configuration management at the OEM on the basis of vehicle types and the specific vehicle in which a software change will be deployed. To do this, it is essential to check firstly whether authorization is present, secondly whether the vehicle configuration permits this and thirdly whether the update was successful. The reverse process of an update of Hardware and Software by third parties must also be made known to the OEM. This also takes place via the Digital Product Configuration Twin. T-Systems will give a presentation on the procedure developed in the SofDCar research project together with the partners and address the issues involved.