3 papers
physics.app-ph2026
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
We introduce a multimodal directed energy deposition (DED) dataset for predicting the probabilistic local geometric variation of single laser tracks produced on stainless-steel 316…
cs.CR2025
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…
physics.app-ph2023
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…