Computational Frameworks for the Development and Qualification of Additive Manufacturing-Tailored Wire Feedstock for Naval Directed Energy Deposition
Summary
The Navy seeks a computational framework to develop and qualify metal wire feedstock tailored for wire-fed Directed Energy Deposition (DED) additive manufacturing. This effort aims to close the performance gap of DED parts by using integrated computational materials engineering and machine learning to predict and optimize feedstock properties, supporting point‑of‑need production of structural naval components.