About this Abstract |
| Meeting |
11th International Symposium on Superalloy 718 and Derivatives 2026: Legacy, Innovations, and Future Directions
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| Symposium
|
Superalloy 718 and Derivatives 2026: Legacy, Innovations, and Future Directions
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| Presentation Title |
Physics-Based Modeling and Data Analytics for Process and Property Optimization in Nickel-Based PM Superalloys |
| Author(s) |
Jean-Philippe A. Thomas |
| On-Site Speaker (Planned) |
Jean-Philippe A. Thomas |
| Abstract Scope |
Process simulations for the manufacture of nickel-based superalloy components have been applied widely for decades. Material data and boundary conditions have been measured and tuned over time to predict accurate temperature and strain evolutions throughout process steps. Inverse thermal analysis is especially useful to identify heat transfer coefficients, and virtual designs of experiments (DOEs) allow to assess the effects of process variations on, for instance, residual stresses and machining distortions. Predicted thermomechanical paths can be used as inputs for microstructure evolution models applicable to recrystallization, grain growth, and precipitation. Various formulations were developed, first using Avrami and power law equations, and later, more physics-based approaches focused on the detailed evolution of grain or precipitate populations. Precipitate fractions and sizes are particularly important when it comes to predicting powder metallurgy (PM) superalloys mechanical properties such as yield strength or creep elongation. While general trends connecting microstructure and mechanical properties are well known, they do not always provide sufficient precision and reliability to inform decisions for process development and optimization. As a result, it becomes necessary to augment physics-based formulations with empirical equations or corrective terms. To do so, physics-based modeling and data analytics frameworks leverage the extensive datasets of quality testing conducted routinely on production parts presenting a variety of geometries and ranges of location-dependent thermomechanical paths. The resulting stacks of simulation tools are useful to drive the optimization of processes and properties in nickel-based PM superalloys and to support the progression of aerospace components throughout Manufacturing Readiness Levels (MRL) in industry.
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Approved for Public Release (2025-08-26) |
| Proceedings Inclusion? |
Definite: At-meeting proceedings |