Description
Developing ways for the direct reduction of iron ores has attracted much research interest in the last three decades, since it can be considered as a core process in steel industry. New advances in the iron making technologies offer up potential savings in energy and emissions. One of the most advantageous direct reduction processes are fluidized bed reactors. However, due to the harsh conditions inside these reactors, most investigations are carried out through computational tools. One such tool is the CFD-DEM method, in which the gas phase reactions and governing equations are calculated in the Eulerian (CFD) side, whereas the particle reactions and equations of motion are calculated in the Lagrangian (DEM) side. In this work, two of the most common types of models to represent the reaction between solid particles submerged in fluids are implemented into the CFD-DEM library. These models are the Shrinking Particle Model (SPM), where the solid particle reacts with the fluid thereby changing its size, and the Unreacted Shrinking Core Model (USCM), where after the particle reacts with the fluid a product layer is formed around the particle that impedes the reaction rate.For the investigation of metallurgical processes, both of the mentioned models is implemented into the CFD-DEM library in such a manner that only the required data is communicated between the two phases with an adaptable communication interval. A similar case as with the SPM is also carried out with the implemented USCM for an iron-ore. The overall reduction rates are validated by comparing them to available literature.| Period | 23 Apr 2018 |
|---|---|
| Event title | 8th World Congress on Particle Technology |
| Event type | Conference |
| Location | United StatesShow on map |
Fields of science
- 203 Mechanical Engineering
JKU Focus areas
- Computation in Informatics and Mathematics
- Mechatronics and Information Processing
- Engineering and Natural Sciences (in general)
Documents & Links
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Projects
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Christian Doppler Laboratory for Multi-scale Modeling of Multiphase Processes
Project: Funded research › CDG - Christian Doppler Forschungsgesellschaft