| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Materials Processing Fundamentals
|
| Presentation Title |
Prediction of Distribution of Composition of Inclusion in Continuous Casting Bloom of the Heavy Rail Steel Coupling Element Segregation, Heat Transfer and Kinetics |
| Author(s) |
Yuexin Zhang, Wei Chen, Jujin Wang, Yadong Wang, Wen Yang, Ying Ren, Lifeng Zhang |
| On-Site Speaker (Planned) |
Lifeng Zhang |
| Abstract Scope |
Inclusions in heavy rail steels are mainly CaO-SiO2-Al2O3-MgO.A dynamic model had been used to predict the distribution of composition of inclusions in continuous casting bloom of the heavy rail steel. On this basis, the elemental segregation model was introduced to predict the distribution of inclusions in CC bloom. Samples from the inner arc to the outer arc of the bloom were selected as research objects. Element distribution results were calculated by the segregation model. Then, calculation of mold transient flow field, heat transfer and solidification, thermodynamic analysis and element diffusion were combined to predict the composition distribution of inclusions in the whole section of the bloom. Predicted results were basically consistent with actual results. The result not only verifies the correctness of the model, but also has a certain guiding significance to the actual steelmaking process. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Other, Other, Other |