Increased digitization creates new opportunities for the Swedish manufacturing industry. This project focuses on what data is required for variation simulation and visualization for decision support, as well as how these data should be collected and stored.
The project contributes to increased geometric quality and better decision support for engineers and designers, and more generally, better utilization of measurement data in digital value chains from measurement at supplier to finished product at OEM.
The technical value chain covers measurement and extraction of relevant data, storage of data in a database, use of data in variation simulation (as a digital twin) and visualization of simulation results as decision support.
This supports the industrial value chain from suppliers of inspoection technology, to component supplier, to database supplier, to supplier of simulation tools and up to OEMs. The project has the potential to replace prototypes and test series and reduce cost, time and environmental impact.
- Wingquist laboratory (Centre, Sweden)
- Luleå University of Technology (Academic, Sweden)
The project is closed: 30/11/2019