3 citations · 4 across the 2 of their papers we have counts for
2 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…