Simulations of materials’ microstructure and properties are very useful, especially when validated by accurate physical data. In this study, authors predicted the morphology of abnormally growing (Goss) grains in a Fe-3%Si steel by 3D Monte Carlo simulation. Next, they used Robo-Met.3D’s serial sectioning capabilities to reveal the real three-dimensional morphology of the metal. The results validated their models well.
Find the thesis, by Tae-Wook Na of the Seoul National University, here: Analysis of abnormal grain growth and improvement in grain oriented electrical steel based on solid-state wetting mechanism