Comparative analysis of modified Johnson-Cook model and artificial neural network for flow stress prediction in BN-reinforced AZ80 magnesium composite.

Boron nitride (BN), renowned for its exceptional optoelectrical properties, mechanical robustness, and thermal stability, has emerged as a promising two-dimensional material. Reinforcing AZ80 magnesium alloy with BN can significantly enhance its mechanical properties. To investigate and predict this enhancement during hot deformation, we introduce two independent modeling approaches a modified Johnson-Cook constitutive model and an artificial neural network (ANN).