Additive manufacturing (AM), often referred to as 3D printing, is transforming traditional manufacturing by enabling unprecedented design flexibility, rapid prototyping, and customization. However, significant challenges remain, such as controlling material properties, predicting structural integrity, and managing surface quality—particularly regarding corrosion resistance and functional reliability. These challenges limit AM’s broader industrial application, especially with advanced materials requiring precise phase control, like duplex stainless steels, amorphous glass metals, and magnesium alloys.
The overarching objective of this project is to integrate state-of-the-art data systems, experimental approaches, imaging techniques, machine learning, and predictive physical modeling to address these critical challenges in AM. By establishing a comprehensive data repository encompassing structural characteristics, defects, distortions, and performance metrics across various material scales, the project aims to significantly enhance materials development and optimize AM processes.
Through interdisciplinary collaboration between academia and industry, this initiative seeks to systematically quantify how AM processing parameters and surface treatments affect material integrity and functional properties. The project further intends to develop advanced imaging methods and processing algorithms, ensuring consistent quality control, from initial powder production through final manufacturing.
A unique aspect of this project is the fusion of physical modeling with machine learning, enabling predictive design of optimal material compositions and structures. The anticipated outcomes include enhanced printability, improved mechanical and corrosion-resistant properties, and streamlined development cycles. These advancements will substantially impact industrial capabilities, aligning with strategic EU priorities related to Industry 4.0 and Industry 5.0.
Ultimately, by fostering international and cross-sectoral knowledge transfer, this project aims to accelerate the application of innovative AM solutions, enhancing competitiveness, sustainability, and technological leadership within the EU and globally.
