| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Microstructural Evolution and Material Properties Due to Manufacturing Processes: A Symposium in Honor of Anthony Rollett
|
| Presentation Title |
A Computationally Efficient Microstructure Evolution Model for the Hot Rolling Process |
| Author(s) |
Shabnam Fadaei Chatroudi, Robert Cicoria, Hatem Zurob |
| On-Site Speaker (Planned) |
Shabnam Fadaei Chatroudi |
| Abstract Scope |
The manufacturing of modern line pipe steels involves multiple thermomechanical processing stages. In order to predict the final pipe properties, it is necessary to capture the microstructure evolution through the whole process. To address this challenge, a through-process modeling approach is adopted in this study. A novel numerical implementation of the Mean Field approach is introduced to efficiently describe the microstructure evolution during hot rolling including recrystallization, recovery, and grain growth of larger systems and extended durations. This approach embeds each grain within an average medium, allowing interactions of each grain with the medium thus simplifying the complexities of individual grain interactions, while still capturing the grain size distributions. The Upsampling and Downsampling algorithm introduced in this work dynamically adjusts the grain ensemble, ensuring efficiency and maintaining an accurate number of grains throughout the entire simulation. This adaptation prevents under- and over-sampling artifacts encountered in case of extended growth as well as nucleation of new grains during recrystallization, facilitating the modeling of multi-pass operations compatible with industrial applications. The accuracy of the model is verified against analytical solutions and experimental data over a range of processing parameters, demonstrating high agreement. The effect of different initial microstructures is successfully investigated, demonstrating the versatility of this model. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Modeling and Simulation, Iron and Steel, Shaping and Forming |