The development of reliable and agile digital twins of high-tech systems and materials is key to enable shorter time-to-market, zero-defect and flexible manufacturing systems with accurate predictive maintenance. This crucial development is currently hampered by the lack of synergy between model-based engineering and data-driven/artificial intelligence approaches. The DIGITAL TWIN program will develop key-enabling technologies for full digitization of the value chain of high-tech systems and materials by the integration of data-driven learning approaches and model-based engineering methods.
The NWO AES Perspectief DIGITAL TWIN Program is a five-year comprehensive research program on the development of digital twins and digital twinning methods, financed by the Dutch Research Council (NWO) within the domain of Applied and Engineering Sciences (AES). This collaborative programme involves six universities: University of Groningen, Eindhoven University of Technology, TU Delft, University of Twente, Leiden University and Tilburg University and twelve industrial partners.
Within DIGITAL TWIN, project 3 ('P3') is led by Eindhoven University of Technology (TU/e) and Tilburg University (TiU), and addresses methodology and tool support for effective digital twinning. Creating dedicated digital twin models involves the combination of heterogeneous models from different engineering disciplines - used to model different DIGITAL TWIN components - and modeling of the interactions between these different component models. The challenges addressed in this project are (1) ensuring consistency between the involved heterogeneous models, as well as early identification of inconsistencies in order to ensure a trustworthy digital twin; and (2) the efficient creation of digital twins using model-driven software engineering (MDSE) techniques.
Further details:
Two PhD positions on methodology and tool support for effective digital twinning