| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Materials Processing Fundamentals: Thermodynamics and Rate Phenomena
|
| Presentation Title |
Predicting Blast Furnace Raceway Dynamics Using Coupled Computational Fluid Dynamics-Discrete Element Method |
| Author(s) |
Ying-Hsuan Ko, Hernan Felipe Puentes Cantor, Jian-Shiang Chen, Wei-Jie Chen, Hao-Chuan Huang, Tsung-Yen Huang, Chien-Hsiung Tsai, Te-Cheng Su |
| On-Site Speaker (Planned) |
Te-Cheng Su |
| Abstract Scope |
The blast furnace process is the mainstream method for producing hot iron metal. In the lower part of the blast furnace, the lateral injection of reducing gas into the coke particle bed creates a raceway. Since the shape and permeability of the raceway significantly affect the gas transport phenomena inside the blast furnace, a transient computational mechanics model that encompasses momentum, heat, and solute transfer is needed to predict the shape of the raceway, which is difficult to measure directly. This study focuses on developing coupled computational fluid dynamics-discrete element method (CFD-DEM) technology. This approach not only predicts the effects of injection composition, injection parameters, and heterogeneous chemical reaction kinetics on the raceway shape. Additionally, the emerging CFD-DEM coupled method allows forecasting complex mechanical behaviors such as deformation of the tuyere due to coke particle impact, polydisperse particle packing dynamics, and the hysteresis phenomenon of the raceway. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Iron and Steel, Modeling and Simulation, Pyrometallurgy |