About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Algorithms Development in Materials Science and Engineering
|
| Presentation Title |
Optimization of Microstructures for Target Mechanical Performance under Manufacturing-Informed Property Closure Constraints |
| Author(s) |
Waris Khan, MD Maruf Billah, Pinar Acar |
| On-Site Speaker (Planned) |
Waris Khan |
| Abstract Scope |
The mechanical performance of aerospace alloys are governed by their microstructures, which exhibit variability due to processing. While prior work addressed forward uncertainty propagation across scales, the inverse problem—designing optimal microstructures under uncertainty within manufacturing constraints—remains unresolved. This study presents a computational framework to design microstructures that deliver desired macroscopic performance, such as minimized compliance or targeted vibration response, while ensuring manufacturability. Using IN-718 alloy, we define a property closure representing the admissible set of effective orthotropic properties derived from uncertainty in crystallographic texture. FE simulations are performed by sampling from this closure and assigning element-wise properties to evaluate performance. A global optimization algorithm is employed to determine the spatial distribution of microstructures that maximize stiffness or align with desired dynamic properties, subject to closure bounds. The proposed framework enables new design tools combining uncertainty quantification, property closure theory, and optimization to guide manufacturable microstructure design for aerospace structures. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Mechanical Properties, Copper / Nickel / Cobalt |