| About this Abstract |
| Meeting |
Materials Science & Technology 2020
|
| Symposium
|
Multi-material Additive Manufacturing: Processing and Heterogeneous Materials Design
|
| Presentation Title |
Experimental -- Computational Approach for The Design of Functionally Graded Materials by Additive Manufacturing |
| Author(s) |
Allison M. Beese, Zi-Kui Liu, Brandon Bocklund, Lourdes Bobbio |
| On-Site Speaker (Planned) |
Allison M. Beese |
| Abstract Scope |
Directed energy deposition (DED) additive manufacturing (AM) can be used to fabricate compositionally graded functionally graded materials (FGMs) by varying the volume fractions of powder metal feedstock fed into the melt pool during fabrication. However, when grading between dissimilar alloys or metals, detrimental phases (e.g., brittle intermetallics) may form, resulting in weak location within the FGM or complete failure of the FGM by cracking. This talk will detail our approach for combining experiments and computations to develop and validate computational databases and modeling tools needed to design FGMs that avoid detrimental compositions. Both equilibrium and Scheil solidification calculations for phase prediction were performed, and the limitations of equilibrium calculations as well as benefits of Scheil solidification calculations will be discussed in light of their ability to predict the experimentally observed phases in a Ti to Invar-36 FGM and a Ti-6Al-4V to Invar FGM. |