Dual-phase steels microstructure and properties consideration based on artificial intelligence techniques

The results of assessment of high strength dual-phase steel structure and mechanical properties were considered. Method of calculation tensile strength and yield strength of dual phase steels DP using the artificial neural networks in modelling relationship of chemical composition and properties of dual phase steels DP was proposed. The material database describing the properties of the DP steels was created on the base of literature sources. The artificial neural network model was designed in order to estimate the influence of alloying elements, heat treatment conditions, transition temperature and microstructural features on mechanical properties of steels. The ferritic-martensitic microstructure transformation influence on steel tensile strength was considering.