Active learning framework to optimize process parameters for additive-manufactured Ti-6Al-4V with high strength and ductility.

ABSTRACT: Optimizing process and heat-treatment parameters of laser powder bed fusion for producing Ti-6Al-4V alloys with high strength and ductility is crucial to meet performance demands in various applications. Nevertheless, inherent trade-offs between strength and ductility render traditional trial-and-error methods inefficient. Herein, we present Pareto active learning framework with targeted experimental validation to efficiently explore vast parameter space of 296 candidates, pinpointing optimal parameters to augment both strength and ductility. All Ti-6Al-4V alloys produced with the pinpointed parameters exhibit higher ductility at similar strength levels and greater strength at similar ductility levels compared to those in previous studies. By improving one property without significantly co

SUBMITTER: Lee JA 

PROVIDER: S-EPMC11754831 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature