Neural-Net Analysis of the Plasticity of ÉP-450 Ferrite–Martensite Steel with Different Alloying Element Concentrations

The results of a computational experiment with a neural-net model simulating the effect of the chemical composition on the plastic properties of EP-450 steel are presented. It is shown that computer-aided development of reactor steel with prescribed properties is, in principle, possible.