3D X-ray Computed Tomography
A new X-ray Computed Tomography Research Laboratory for Industrial Applications (XCT-Lab) of unibz will be established at NOI Techpark in Brunico. The laboratory will be equipped with a high-resolution CT scanner for offline, sample-based inspection and an in-line X-ray tomography system capable of acquiring three-dimensional images directly during production. While the in-line system will operate at a lower spatial resolution, it will achieve acquisition speeds compatible with industrial manufacturing cycles.
The research will develop AI-based methods that transfer the quantitative measurement and defect-detection capabilities of high-resolution CT to fast scanners suitable for in-line operation.
Research
By closely integrating computer vision, numerical simulation, and physics-informed machine learning, the project aims to lay the foundations for next-generation, CT-based in-line quality control of polymer, steel, and other metallic components.
The proposed framework will enable the automated detection and characterization of defects in three-dimensional in-line CT data. Combined simulation-driven and data-driven models will subsequently predict how these defects affect component performance.
The laboratory will also develop large-scale benchmark datasets for industrial CT and foster methodological advances through international scientific challenges and competitions.
An industrial advisory board will be established to ensure grounding of research objectives in industry needs.
People
Laboratory Head, PI: Prof. Oswald Lanz, PhD
Co-Investigator: Prof. Franco Concli, PhD
Team: Andrea Cittadini, Vedang Nadkarni, Artem Merinov
Collaborators: A. Torcinovich, A. Bombini (INFN Florence)
Funding
Program: ERDF 2021-2027,
Funding scheme: Third Call, Priority 1, Action 2
Duration: 01 January 2026 – 31 December 2028
