About this Abstract |
| Meeting |
2027 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advances in Metal Matrix Composites: Processing, Additive Manufacturing, and Applications
|
| Presentation Title |
Mechanically Alloyed Nanocrystalline Al–2 wt.% Fe: Sintering, Microstructure, and AI-Derived Constitutive Behavior |
| Author(s) |
Dr. Muneer Baig |
| On-Site Speaker (Planned) |
Dr. Muneer Baig |
| Abstract Scope |
A nanocrystalline Al–2 wt.% Fe alloy was synthesized by mechanical alloying, consolidated, and sintered at 823 K, yielding a 45–50 nm crystallite size, 98% relative density, and 1.33 GPa hardness — four times that of pure aluminum. Compression tests across strain rates of 10⁻⁴–1 s⁻¹ and temperatures of 296–600 K gave nine stress–strain curves, used to build two AI-based constitutive models: a Gaussian Process Regression model with R² = 0.9965 and 95% confidence bands, and a unified Voce–Johnson-Cook equation reaching R² = 0.915, versus below 0.62 for standard Johnson–Cook, whose parabolic hardening does not match the rapid flow saturation typical of nanocrystalline alloys. Strain-rate sensitivity quadrupled from room temperature to 600 K, reflecting a shift from dislocation- to grain-boundary-mediated deformation. These results establish a replicable AI-assisted methodology for constitutive modeling of sintered nanocrystalline alloys, applicable to finite element simulation in powder metallurgy design. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Aluminum, Characterization, Modeling and Simulation |