Innovative modeling strategies for additive manufacturing processes (iMAT)

Research Project, 2023 – 2026

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 results and effects
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.