| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Validation of Computational Tools - Industrial Perspectives
|
| Presentation Title |
The Role of Process Variability within ICME Tool Development for Aerospace Turbine Applications |
| Author(s) |
Nicholas Krutz, Chen Shen |
| On-Site Speaker (Planned) |
Nicholas Krutz |
| Abstract Scope |
Progress and challenges in understanding the role of process variability during validation of an ICME workflow for sub-solvus nickel superalloys is present and discussed. A method is developed that considers the cumulative effect of process variability on property predictions by treating primary processing steps stochastically. Within this approach, microstructural features such as grain size and gamma prime size are treated as stochastic, distribution-based quantities that reflect the overall time and temperature process variation. These features are then used in a detailed simulation of a final quench and age heat treatment aimed at predicting the last stages of microstructural evolution and corresponding property outcomes. The process parameters of the workflow are adjusted systematically and a machine learning surrogate model is developed to provide a set of distribution-based property predictions. The relationship between process variation and the predicted property variation is also discussed. |
| Proceedings Inclusion? |
Planned: |