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 | Synapse
March 3, 2026
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.