Exploring the constitutive description and workability of a Al0.1TiZrNbMoTa0.7 refractory high-entropy alloy during hot deformation using a novel SCSO-BP artificial neural network model

Key Points

• This alloy exhibits favorable workability under hot deformation conditions, enabling effective processing methods.
• Data-driven insights from the SCSO-BP artificial neural network enhance the predictability of material behavior at high temperatures.
• The study explores constitutive equations to describe the flow behavior of the alloy during deformation in various conditions.
• Findings may aid in optimizing applications of high-entropy alloys in industrial settings.