3 papers
cs.CV2025
Linking heterogeneous microstructure informatics with expert characterization knowledge through customized and hybrid vision-language representations for industrial qualification
Mutahar Safdar, Gentry Wood, Max Zimmermann +3
Rapid and reliable qualification of advanced materials remains a bottleneck in industrial manufacturing, particularly for heterogeneous structures produced via non-conventional add…
cs.AI2023
Transferability analysis of data-driven additive manufacturing knowledge: a case study between powder bed fusion and directed energy deposition
Mutahar Safdar, Jiarui Xie, Hyunwoong Ko +3
Data-driven research in Additive Manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature to emerge. The knowledge in…
cs.LG2023
Evaluation of Key Spatiotemporal Learners for Print Track Anomaly Classification Using Melt Pool Image Streams
Lynn Cherif, Mutahar Safdar, Guy Lamouche +6
Recent applications of machine learning in metal additive manufacturing (MAM) have demonstrated significant potential in addressing critical barriers to the widespread adoption of…