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

Development and adaptation of predictive thermal, mechanical and microstructure models is becoming a norm in the aerospace supply chain. The USAF brought together different companies across the aerospace supply chain under the auspices of the Metals Affordability Initiative (MAI) to develop, validate and integrate the predictive models for wrought titanium alloys. Thus, creating a true Integrated Computational Materials Engineering (ICME) story.

In this ICME program, various computational models were developed and validated that predict location specific microstructure and mechanical properties for wrought titanium alloys. Developed models such as phase field, crystal plasticity, variant selection, thermodynamic and artificial neural network models will be integrated to help design the manufacturing process for Ti6-4 components yielding desired properties. Program results and integration plan will be discussed with the emphasis on the end-goal of training the artificial neural network that can predict mechanical properties for Ti6-4 components based on chemistry, microstructure and crystallographic texture.