Prediction of mechanical properties and process optimization for Ti-Al-V-Fe-Mo-Cr titanium alloys using machine learning
Titanium alloys have found extensive application in the aerospace field due to their outstanding properties. However, traditional material design methods involve extensive computational and experimental trial-and-error processes, leading to increased design costs and reduced efficiency. This paper proposes a machine le...