Microstructure Informatics for Propagating Uncertainty in Material and Processing to Performance Predictions of AM Titanium Parts

During AM of metallic alloys, a material exhibits several complex physical phenomena that impact the spatial distribution of heterogeneous material properties within a built component. Subsequent post-processing alters the already heterogeneous location-specific material properties. This project is to develop a novel methodology for linking the time and length scales of the various physical phenomena using a microstructure-based ICME approach. It is anticipated that the multi-scale simulations will enable predictions of the interdependencies among deposition process; location specific microstructure with the associated location-specific material behavior which will lead to predictions of the overall component performance in the as deposited and after post-processing conditions.The developed tools will propagate uncertainties in the materials and processing conditions to quantify its impact on the uncertainty in the mechanical behavior of Ti-6Al-4V parts made by additive manufacturing.