| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing: Materials Design and Alloy Development II
|
| Presentation Title |
Development of Prediction Tools for Incorporation of Cooling Rate Dependent Solute Drag Based Thermo-physical Properties in Additive Manufacturing: A Sensitivity Study |
| Author(s) |
Deepankar Pal, Kaisheng Wu, Dave Conover |
| On-Site Speaker (Planned) |
Deepankar Pal |
| Abstract Scope |
The non-linear and non-equilibrium conditions which exist during the solidification of metal melting additive technologies necessitate that a cooling rate dependent solute drag model be considered such that the thermophysical properties are appropriately addressed during additive thermal predictions.
A sensitivity analysis with state transitions from powder to (liquid or vapor) to solid has been performed as a function of solver methodologies such as linear with Backward Euler formulation and non-linear with Backward Euler and Newton Raphson formulations with and without the effect of latent heats from phase transitions, due to the formation of liquid and vapor at relevant temperatures and state transitions. Further, both traditional non-linear and non-equilibrium, non-linear thermo-physical properties have been considered which provided with reasonable differences in melt pool dimensions and peak temperatures.
These sensitivities in the light of newly established non-equilibrium solute partitioning workflow from Themocalc will be discussed during the talk. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |