Year
2025
Organisation
Summary
This research improves the reliability of metal 3D-printed parts by studying internal porosity using X-ray computed tomography and extreme value statistics. By modeling the largest, failure-critical pores and accounting for uncertainty and geometry effects, it enables better prediction of fatigue performance in aerospace and medical components.