Microstructure-UTS correlation of Nb-DP steels using neural network

In this study, the effect of controlled rolling significant parameters on ferrite grain size and martensite volume fraction of dual phase (DP) steels with niobium was investigated. Also microstructure has been correlated with the Ultimate tensile strength (UTS) and is brought out in the form of 3D diagrams. A neural network model based on the microstructure was used to predict UTS. Investigation and neural network results show that, increasing in martensite volume fraction (Vm) and grain refinement of ferrite (d) lead to increasing the UTS.

Keywords:

microstructure , ultimate tensile strength , dual phase steels , neural network