Screening the Tizrhfnbvmota Refractory High-Entropy Alloys with Multi-Property Constraints

Abstract

Refractory high-entropy alloys with extremely high temperature mechanical properties, have created a growing interest in aerospace applications. However, multiple principal alloying elements are a challenge in finding an appropriate and affordable alloy for specific applications. A multi-objective composition design method based on machine learning and thermodynamic calculation was proposed to screen alloys in immense space. Three new TiZrHfNbVMoTa refractory high-entropy alloys were found out of several hundred thousand candidates. The alloys all meet the design objectives, proving the effectiveness of this strategy. Additionally, a strength-and-ductility synergy is improved with a fracture strain of >60% and yield strength of 1056 MPa at room temperature.

Keywords: Refractory high-entropy alloys, Mechanical properties, Machine Learning, Thermodynamic calculation