Integrated Computational Materials Engineering: Recent Progress in the Advanced Titanium Microstructure and Modeling Program

A summary of the progress achieved in the Advanced Titanium Microstructure Modeling program funded under the Metals Affordability Initiative (MAI) will be presented. The goal of this program is to develop computational models that predict location specific microstructure and mechanical properties for wrought titanium alloys through the integration of phase field, crystal plasticity, variant selection, thermodynamic and neural net models into the commercially available finite element software DEFORM. Other topics to be discussed include the use of 2-point statistics in the separation of electron backscatter data (EBSD) into its primary and secondary alpha components and the incorporation of Kearns numbers for the representation of crystallographic texture into neural net models.