Innovative modeling strategies for additive manufacturing processes - iMAT
| Reference number | |
| Coordinator | RISE Research Institutes of Sweden AB - RISE |
| Funding from Vinnova | SEK 5 500 000 |
| Project duration | June 2023 - May 2026 |
| Status | Ongoing |
| Venture | Advanced digitalization - Enabling technologies |
| Call | Advanced and innovative digitalization 2023 - call one |
Purpose and goal
iMAT aims to increase the competitiveness of the manufacturing industry by utilising advanced digital tools and systems to further develop sustainable additive manufacturing (AM) for challenging components. The industry´s need to efficiently design for AM according to the "first time right" principle forms the basis for the project´s research activities on Powder Bed Fusion-Laser Beam (PBF-LB). The ultimate goal is to enable the manufacturing of components that are free from design defects.
Expected effects and result
The project intends to achieve predictability, or "predictive capability," of manufacturing-induced defects and deviations by developing numerical models. The numerical models and methods are verified and validated experimentally. The project also evaluates the application of Physics-Informed Machine Learning (PIML), which potentially strengthens the predictive capability further.
Planned approach and implementation
By combining high-resolution models at a detailed level with full-scale models at a component level, we create the right conditions for sufficient computational accuracy. The project places great emphasis on generating validating data, from melt pool monitoring for instance. Activities connected to Physics-Informed Machine Learning (PIML) show great potential.