1 citations · 1 across the 4 of their papers we have counts for
4 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
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…
Process signature-driven high spatio-temporal resolution alignment of multimodal data
Abhishek Hanchate, Himanshu Balhara, Vishal S. Chindepalli +1
We present HiRA-Pro, a novel procedure to align, at high spatio-temporal resolutions, multimodal signals from real-world processes and systems that exhibit diverse transient, nonli…
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…
Ripple formation and its effect on the multi-scale microstructure of Directed Energy Deposition (DED)-printed 316L components
Himanshu Balhara, Bhaskar Botcha, Sarah Wolff +1
An experimental study is presented to characterize the ripple formations in the directed energy deposition (DED) process and study the influence of the ripples on the heterogenous…