Page 11: Research news on Data-driven alloy design

Data-driven alloy design integrates computational methods, machine learning, and advanced manufacturing to create metallic alloys and composites with tailored properties. Emphasis is placed on metal 3D printing and related additive processes as platforms for controlling solidification, microstructure, and defect formation in systems such as aluminum, titanium, magnesium, high-entropy, and shape-memory alloys. By linking processing parameters, atomic-scale mechanisms, and multiscale models to mechanical, thermal, and environmental performance, this area accelerates discovery and optimization of structural and functional materials for demanding applications.

Engineering

Can 3D printing help repair the nation's aging bridges?

An innovative 3D printing technique called cold spray was applied to a Western Massachusetts bridge last month in a first-of-its-kind proof-of-concept demonstration that could reduce the repair cost of critical infrastructure ...

Hi Tech & Innovation

3D printing metal molds poised to accelerate US auto manufacturing

Recent advancements at the Department of Energy's Oak Ridge National Laboratory show that 3D-printed metal molds offer a faster, more cost-effective and flexible approach to producing large composite components for mass-produced ...

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