Abstract Scope |
By selectively depositing different powder metal feedstock at different locations within a component, directed energy deposition (DED) additive manufacturing (AM) can be used to fabricate functionally graded materials (FGMs) with spatially varying composition, and therefore, properties. However, in liquid-phase processing of mixtures of dissimilar alloys or metals, along with the far from equilibrium processing conditions accessed in AM, undesired phases (e.g., brittle intermetallics) may form, resulting in cracking during fabrication aided by thermal stresses, or resulting in failure-prone regions within the FGM. This presentation will describe our combined computational-experimental approach for understanding and predicting phase formation during AM of FGMs where the computational method of predicting phases, e.g., through equilibrium and Scheil solidification simulations, is validated or improved based on comparison with experimental findings. |