| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing of Metals: Applications of Solidification Fundamentals
|
| Presentation Title |
Statistical Modeling of Microstructure Signatures in Laser Powder Bed Fusion |
| Author(s) |
Supriyo Ghosh, Raiyan Seede, Jaylen James, Ibrahim Karaman, Alaa Elwany, Douglas Allaire, Raymundo Arroyave |
| On-Site Speaker (Planned) |
Supriyo Ghosh |
| Abstract Scope |
Laser powder bed fusion solidification of metal alloys often results in cellular morphology in which the microstructure signatures, such as solute microsegregation, were determined using experiments and simulations, and the data obtained were utilized to explore the predictive capability of microsegregation models. The experimental ground truth was compared with high-fidelity phase-field simulations as well as with analytical model predictions. Supervised statistical analyses, including linear regression, polynomial regression, and model reification, were employed to understand the merit of these approaches toward microsegregation estimation. The bias-variance and accuracy-interpretability trade-off limits were considered in the data analysis that was consistent with our experimental findings. |
| Proceedings Inclusion? |
Planned: |