11 citations · 15 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2021★ 3 cited
Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
Noopur Jamnikar, Sen Liu, Craig Brice +1
Wire-feed laser additive manufacturing (WLAM) is gaining wide interest due to its high level of automation, high deposition rates, and good quality of printed parts. In-process mon…
cond-mat.mtrl-sci2021★ 1 cited
Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data
Noopur Jamnikar, Sen Liu, Craig Brice +1
The advancement of machine learning promises the ability to accelerate the adoption of new processes and property designs for metal additive manufacturing. The molten pool geometry…
physics.app-ph2020★ 11 cited
Machine Learning for Materials Developments in Metals Additive Manufacturing
N. S. Johnson, P. S. Vulimiri, A. C. To +4
In metals additive manufacturing (AM), materials and components are concurrently made in a single process as layers of metal are fabricated on top of each other in the near-final t…