64669 2025 eng lecture 0 -- -- -- Machine Learning and Thermography as Tools for Local Porosity Prediction in AM of Metals Quality assurance of metal additive manufacturing (PBF-LB/M) is still a challenge. Offering deep process insights, thermography is a well-suited monitoring technique. Here, we show how machine learning based on thermographic data enables a local part porosity prediction. Laser Applications Conference (LAC) Prague, Czech Republic 19.10.2025 23.10.2025 1 publish false true Simon Altenburg eng uncontrolled PBF-LB/M eng uncontrolled In situ monitoring eng uncontrolled Thermography eng uncontrolled Additive Manufacturing eng uncontrolled Process monitoring eng uncontrolled Porosity prediction eng uncontrolled Machine Learning eng uncontrolled Feature extraction Ingenieurwissenschaften und zugeordnete Tätigkeiten 8 Zerstörungsfreie Prüfung 8.5 Röntgenbildgebung 8.3 Thermografische Verfahren Material Datei im Netzwerk der BAM verfügbar ("Closed Access") Präsentation Additive Fertigung VP Vizepräsident VP.2 Informationstechnik