| Abstract Scope |
An essential component of computational modeling for additive manufacturing is prediction of materials properties which depend on, among other things, phases in materials as a function of feedstock and processing. Motivated by cyclic thermal histories in powder bed fusion by laser-beam (PBF-LB), a model for microstructure evolution in Ti-6Al-4V has been developed. The model leverages diffusional and athermal transformations to compute morphological phase development for complex time-temperature profiles. Ti-6Al-4V is a target alloy for validation due to its high temperature β phase, room temperature α phase, and non-equilibrium martensitic α’ phase. Simulated temperature histories based on printing parameters are used as input to predict fractions of basketweave, colony, grain-boundary, and martensitic α. The model can be extended to controlled temperatures to predict phase development from post-processing steps, i.e., heat treatment. This type of predictive model could support next-generation qualification approaches for additive manufacturing. |