2 papers
eess.SY2024
Harnessing On-Machine Metrology Data for Prints with a Surrogate Model for Laser Powder Directed Energy Deposition
Michael Juhasz, Eric Chin, Youngsoo Choi +2
In this study, we leverage the massive amount of multi-modal on-machine metrology data generated from Laser Powder Directed Energy Deposition (LP-DED) to construct a comprehensive…
math.NA2023
A Data-Driven, Non-Linear, Parameterized Reduced Order Model of Metal 3D Printing
Aaron L. Brown, Eric B. Chin, Youngsoo Choi +2
Directed energy deposition (DED) is a promising metal additive manufacturing technology capable of 3D printing metal parts with complex geometries at lower cost compared to traditi…