| Abstract Scope |
Developing materials for extreme environments requires alloys with exceptional mechanical, thermal, and chemical properties. NiCoCr ternary alloys are promising for such applications, especially via additive manufacturing (AM). However, most studies focus on equiatomic or single-element-dominated compositions, leaving much of the NiCoCr space underexplored. High-throughput directed energy deposition (DED) enables efficient screening by printing multiple alloy compositions on a single substrate using in-situ multi-material processing. This accelerates testing and characterization compared to conventional one-at-a-time methods. In this work, we integrate DED process optimization, high-throughput compositional mapping, accelerated mechanical testing, and machine learning-driven screening to identify printable NiCoCr alloys with promising properties. This framework not only uncovers unprintable or hot-cracking-prone regions but also reveals new crack-free compositions with superior hardness to commercial alloys. Our approach offers a scalable, data-driven pathway for discovering advanced materials tailored for demanding applications. |