Machine learning–driven prediction of mechanical properties in heat treated L-PBF Ti-6Al-4V from microstructural images

In the L-PBF process of Ti-6Al-4V, rapid solidification leads to the formation of acicular martensitic microstructures, which result in high strength but significantly reduced elongation. To overcome this limitation, heat treatment is applied, and the resulting mechanical properties vary greatly dep...

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Autores principales:	Chanwoo Park, Wonjoo Lee, Howon Lee, Seong-Hoon Kang, Jonghun Yoon
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2026-04-01
Colección:	Materials & Design
Materias:	Laser powder bed fusion Machine learning Heat treatment Microstructure Ti-6Al-4V
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S0264127526003710
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