Journals Proceedings

Abstract

Micromechanical modelling of dual phase (DP) steel is used to predict the macroscopic tensile properties. The DP steel is widely used due to its good formability characteristics.The DP steels are having high strength and high ductility for suitable application in automobile industries. For the micromechanical analysis of the DP steel, the representative volumetric element (RVE) is generated from the microstructure of the steel obtained using scanning electron microscope at a suitable magnification showing explicit ferrite and martensite grains. In the present work, a model is formulated using Teacher-Learner based optimization (TLBO) algorithm to generate the artificial microstructure of the DP590 steel.The micromechanical modeling is performed to get the tensile macroscopic response.The model is able to predict the artificial microstructure and the tensile stress-strain of the DP590 steel with a reasonable accuracy.