| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing of Metals: Applications of Solidification Fundamentals
|
| Presentation Title |
Quantification and Propagation of Aleatoric Uncertainty Through Numerical Simulation of Laser Powder Bed Fusion Process for IN625 |
| Author(s) |
Scott M. Wells |
| On-Site Speaker (Planned) |
Scott M. Wells |
| Abstract Scope |
Defects and build inconsistencies pose a significant hindrance to widespread adoption of laser powder bed fusion. Due to the complexity of the process numerical models are widely used to study L-PBF, but can be computationally cumbersome and fail to account for the many sources of uncertainty. Aleatoric uncertainty arising from thermophysical properties of the alloy, processing parameters, thermodynamically driven solidification models, and parameters driving fluid mechanics within the melt pool significantly contribute to uncertainty in simulation predictions. Using a computational fluid dynamics model for melt pool predictions of Inconel 625, and applying sparse grids and interpolation techniques, uncertainty in the high-dimensional problem can be modeled via polynomial surrogate models. Monte Carlo sampling of the constructed surrogate model provides insight into the propagation of aleatoric input uncertainty to model predictions of melt pool dimensions and solidification time. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Modeling and Simulation, Solidification |