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…
DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool Controllers
Navid Aftabi, Abhishek Hanchate, Satish Bukkapatnam +1
Industry 4.0's highly networked Machine Tool Controllers (MTCs) are prime targets for replay attacks that use outdated sensor data to manipulate actuators. Dynamic watermarking can…
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…