| About this Abstract |
| Meeting |
MS&T22: Materials Science & Technology
|
| Symposium
|
Integration between Modeling and Experiments for Crystalline Metals: From Atomistic to Macroscopic Scales IV
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| Presentation Title |
Predictive Phase-field Modeling of Nucleation and Growth of β1 Precipitates during Aging of Mg-Nd Alloys |
| Author(s) |
David Montiel, Stephen DeWitt, Qianying Shi, Zhihua Huang, Katsuyo Thornton, John Allison |
| On-Site Speaker (Planned) |
David Montiel |
| Abstract Scope |
The spatial distribution and morphology of β1 precipitates are key to determining the precipitation hardening response for a range of Mg-RE alloys. We apply a phase-field model to simulate the nucleation and growth of β1 precipitates in Mg-Nd alloys during aging. The model is implemented in PRISMS-PF, an open-source, massively parallel framework for high-performance phase-field simulations. Our simulation results were validated against experimental measurements at different stages of aging, namely matrix composition data acquired via atom probe tomography (APT), and precipitate sizes and number density, acquired from transmission electron microscopy (TEM) images. We demonstrate that the model is capable of predicting the morphology, orientation and size of precipitates, as well as their number density during nucleation, growth and coarsening. The predictive phase-field model will allow us to optimize aging conditions in order to obtain the desired microstructure and mechanical properties. |