Modeling the yield strength of hot strip low carbon steels by artificial neural network

摘要

The influences of chemical composition and process features on the yield strength of hot strip steels were modeled by artificial neural network (ANN). The developed model revealed good agreement with experimental data taken from Mobarakeh Steel Company (MSC). The results for the several input parameters are shown and compared with metallurgical phenomena such as elemental effects or strengthening mechanisms. The developed model can be used as a quantitative guide to control the final mechanical properties of commercial low carbon steel products.