| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing of Large-scale Metallic Components
|
| Presentation Title |
J-21: Numerical Modeling of Non-equilibrium Partitioning in Copper-iron Binary Systems Manufactured by Direct Metal Deposition (DMD) |
| Author(s) |
Daniel Yin, Amit Misra, Jyoti Mazumder |
| On-Site Speaker (Planned) |
Daniel Yin |
| Abstract Scope |
The DMD manufacturing process produces high cooling rates within a small melt pool and can lead to high amounts of solute trapping. Solute alloy atoms that would normally segregate out into equilibrium phases cannot do so because of limited diffusion time and may result in super-saturated solid solutions. In this work, we utilize a numerical model to calculate the degree of solute trapping, defined as non-equilibrium partitioning. This model is first tested for a theoretical case with overall composition fixed to 50Cu-50Fe at.% to see the influence of increasing solidification rates. We then simulate DMD for an equimolar Cu-Fe powder printed on mild steel substrate and calculate the non-equilibrium phase compositions. For a single deposited track, cooling rates are high enough to yield significant solute trapping throughout the deposited track. The degree of solute trapping is highest near the free surface with a gradient that correlates with the cooling rate. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, Modeling and Simulation |