| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
High Performance Steels
|
| Presentation Title |
A Modified Model for Predicting Retained Austenite Using Informed Compositional Modeling |
| Author(s) |
Melissa M. Thrun, Amy Clarke, Kester Clarke |
| On-Site Speaker (Planned) |
Melissa M. Thrun |
| Abstract Scope |
The newest advanced high strength steels go through relatively complex heat treatment processes that are closely tied to the alloy’s martensite start (Ms) temperature and require rapid temperature gradients. However, predictions of Ms temperature are usually based on the bulk composition, rather than local composition, so compositional heterogeneities are not considered. Here, thermodynamic predictions are used to create a rule-of-mixtures model for martensite transformation in heterogeneous (both in grain size and composition) alloys to show the effect of compositional gradients on local and bulk Ms temperatures. Predictions of bulk Ms temperatures are then related to bulk dilatometric measurements and retained austenite models established in literature, resulting in predictions of lower retained austenite contents and a range of quench temperatures in which the maximum retained austenite content can be achieved during quenching and partitioning processing. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Iron and Steel, Phase Transformations, Modeling and Simulation |