Designing laser powder bed fusion low-alloyed titanium with superior strength-ductility trade-off via machine learning

With the rising demand for low-cost, recyclable, and high-performance materials, there are increasingly stringent requirements for low-alloyed titanium (Ti) components with excellent mechanical properties. In this study, assisted by a machine-learning-based design strategy, we fabricated a laser powder bed fusion low-alloyed high-performance Ti-O alloy. Ultimate tensile strength of 1005.9 MPa and an elongation of 20.5% were achieved after three iterations of active learning. Improved mechanical property is attributed to the increased content of solid-soluted O, which reduces grain size and enhances <c+a> dislocation activities for a more pronounced dislocation strengthening effect. This research provides a robust framework for designing high-performance titanium alloys.