AI speeds up titanium alloy production with higher strength for submarine manufacturing
Using AI-driven models, the team identified new manufacturing conditions for laser powder bed fusion, a metal 3D-printing method.
A Johns Hopkins research team is using AI to enhance titanium alloys, improving strength and production speed for applications from deep-sea exploration to space travel.
Manufacturing high-performance titanium alloy parts for spacecraft, submarines, and medical devices has traditionally been a slow, resource-intensive process. Despite advances in metal 3D printing, optimizing production conditions has still demanded extensive testing and refinement.
To tackle this issue, researchers at the Johns Hopkins Applied Physics Laboratory (APL) identified processing techniques that enhance both production speed and strength of advanced materials.