期刊
FUEL
卷 346, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.fuel.2023.128219
关键词
Agglomeration; Iron oxide; Fluidized bed; (De-)fluidization; CFD-cgDEM; Solid bridge force
In this study, the (de-)fluidization behavior of micron-sized iron oxide particles in a 3-D fluidized bed was investigated using Computational Fluid Dynamics coupled with a coarse-grained Discrete Element Method. The effects of temperature on various parameters such as bed pressure drop, void fraction distribution, particle velocity distribution, and agglomerate size were studied. The developed model demonstrated the ability to predict particle agglomeration behavior, providing insight for the design of the DRI process in high-temperature fluidized beds.
The occurrence of agglomeration due to particle sintering is one of the most significant technical issues hindering the direct reduction process of iron oxide fines (DRI) in a high-temperature fluidized bed. To get a better understanding of the agglomeration mechanism, the (de-)fluidization behavior of micron-sized iron oxide particles in a 3-D fluidized bed is investigated using Computational Fluid Dynamics coupled with a coarse-grained Discrete Element Method (CFD-cgDEM). The inter-particle cohesive force is considered as a temperature-dependent solid bridge force. The coarse-grained method is first verified by comparing results for different scaling factors. Subsequently, the effects of temperature on the bed pressure drop, void fraction distribution, particle velocity distribution, and agglomerate size are investigated. In conclusion, the developed model shows the capacity for reliable prediction of particle agglomeration behavior, which can shed light on the design of the DRI process in high-temperature fluidized beds.
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