TY - JOUR
T1 - Validation of filtered two-fluid models for gas-particle flows against experimental data from bubbling fluidized bed
AU - Ozarkar, Shailesh S.
AU - Yan, Xiaokang
AU - Wang, Shuyan
AU - Milioli, Christian C.
AU - Milioli, Fernando E.
AU - Sundaresan, Sankaran
N1 - Publisher Copyright:
© 2015 Elsevier B.V..
PY - 2015/11/1
Y1 - 2015/11/1
N2 - Predictions of simulations based on filtered Two-Fluid Models (TFMs) with constitutive relations for filtered fluid-particle drag coefficient and filtered stresses proposed by Igci and Sundaresan [Ind. Eng. Chem. Res. 50 (2011) 13190-13201] and Milioli et al. [AIChE J. 59 (2013) 3265-3275] were compared against experimental data from a bubbling fluidized bed challenge problem put forward by the National Energy Technology Laboratory and Particulate Solids Research Inc. It is found that the most important correction to filtered models is a modification to the drag, and filtered stresses play a secondary role at best. As expected, coarse grid simulations using the kinetic-theory based TFM over-predicted the gas-particle drag force, yielding unphysical bed expansion. The filtered fluid-particle drag model proposed by Igci and Sundaresan that classifies the inhomogeneity in sub-filter scale flow structures using filter size and filtered particle volume fraction as markers also predicted unphysical bed expansion. Refined filtered drag models proposed by Milioli et al. based on filtered fluid-particle slip velocity as an additional marker led to good agreement with experimental data on bed expansion and the time-averaged gas pressure gradient. It was also observed that inadequate grid resolution in the region between gas distributor and the adjacent cylindrical wall of the test unit could lead to spurious asymmetric gas-particle flow predictions. With the inclusion of adequate inflation layer elements in that region, flow predictions became nearly symmetric with little to no effect on bed expansion predictions. However, it dramatically and qualitatively altered the details of gas-particle structures in the bed.
AB - Predictions of simulations based on filtered Two-Fluid Models (TFMs) with constitutive relations for filtered fluid-particle drag coefficient and filtered stresses proposed by Igci and Sundaresan [Ind. Eng. Chem. Res. 50 (2011) 13190-13201] and Milioli et al. [AIChE J. 59 (2013) 3265-3275] were compared against experimental data from a bubbling fluidized bed challenge problem put forward by the National Energy Technology Laboratory and Particulate Solids Research Inc. It is found that the most important correction to filtered models is a modification to the drag, and filtered stresses play a secondary role at best. As expected, coarse grid simulations using the kinetic-theory based TFM over-predicted the gas-particle drag force, yielding unphysical bed expansion. The filtered fluid-particle drag model proposed by Igci and Sundaresan that classifies the inhomogeneity in sub-filter scale flow structures using filter size and filtered particle volume fraction as markers also predicted unphysical bed expansion. Refined filtered drag models proposed by Milioli et al. based on filtered fluid-particle slip velocity as an additional marker led to good agreement with experimental data on bed expansion and the time-averaged gas pressure gradient. It was also observed that inadequate grid resolution in the region between gas distributor and the adjacent cylindrical wall of the test unit could lead to spurious asymmetric gas-particle flow predictions. With the inclusion of adequate inflation layer elements in that region, flow predictions became nearly symmetric with little to no effect on bed expansion predictions. However, it dramatically and qualitatively altered the details of gas-particle structures in the bed.
KW - Bubbling fluidized bed
KW - Filtered two-fluid models
KW - Fluidization
KW - Gas-particle flow
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U2 - 10.1016/j.powtec.2015.06.028
DO - 10.1016/j.powtec.2015.06.028
M3 - Article
AN - SCOPUS:84936870635
SN - 0032-5910
VL - 284
SP - 159
EP - 169
JO - Powder Technology
JF - Powder Technology
ER -