An effective three-marker drag model via sub-grid modeling for turbulent fluidization
作者： Li-Tao Zhu , Yuan-Xing Liu , Zheng-Hong Luo
DOI: 10.1016/J.CES.2018.08.026
关键词:
摘要: Abstract The effect of meso-scale structures on hydrodynamic predictions is not considered in the classically uniform drag models when coarse grid used. To address this issue, study tries to develop an effective three-marker correlation via straightforward sub-grid modeling, which accounts for a parabolic spatial concentration distribution within computational grid. reliability and accuracy developed model then assessed detail. How inputs affect derived correction quantified first time. Besides, comprehensive comparison between several typical present work implemented. Results reveal systematic dependence our modification gradient as additional marker. Coarse-grid validation shows that yields fairly improved agreement with experiments under various operating conditions 3D turbulent fluidized bed. Furthermore, results demonstrate using different still can exhibit satisfactory performance. able resolve heterogeneous flow behavior both cheaply adequately, potentially applied industrial reactor design optimization.
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