From the 1 of 3 linked papers with an AI index.
3 papers
NSF Future Manufacturing Data Challenge: A Multimodal DED Dataset for Probabilistic Representation and Prediction of Laser-Track Geometry
Abhishek Hanchate, Himanshu Balhara, Satish T. S. Bukkapatnam
The paper presents a multimodal dataset for directed energy deposition (DED) that combines in‑situ thermal images, SEM images, and 3D height maps to enable probabilistic prediction…
Never Trust the Manufacturer, Never Trust the Client: A Novel Method for Streaming STL Files for Secure Additive manufacturing
Seyed Ali Ghazi Asgar, Narasimha Reddy, Satish T. S. Bukkapatnam
While additive manufacturing has opened interesting avenues to reimagine manufacturing as a service (MaaS) platform, transmission of design files from client to manufacturer over n…
In-situ surface porosity prediction in DED (directed energy deposition) printed SS316L parts using multimodal sensor fusion
Adithyaa Karthikeyan, Himanshu Balhara, Abhishek Hanchate +2
This study aims to relate the time-frequency patterns of acoustic emission (AE) and other multi-modal sensor data collected in a hybrid directed energy deposition (DED) process to…