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Sedimentation and fluidization: part I. Transactions of the Institution of Chemical Engineers 32, 35] empirical correlation, and Mazzei et al. [2006. A revised mono-dimensional particle bed model for fluidized beds.
The simplified non-isothermal model for fluidized bed reactors developed earlier (Parts I, II) is extended here to the case of exothermic consecutive reaction, A → B → C. It is shown that simple adiabatic operation is not possible when the second reaction, B →- C is relatively fast because the desired operating temperature corresponds to an unstable steady state.
The comparison of predicted results with experimental data from literature indicates the validity of present model for fluidized beds of small and large particles (groups B and D).
This conclusion supports the validity of a reduced-order model for fluidized beds, which can then be constructed by projecting the governing equations onto the POD modes, as it is commonly done in the Galerkin method.
Finally, the influence of these findings was evaluated by performing a sensitivity analysis with an existing phenomenological model for fluidized beds with the new values and closures considering the case of the heterogeneously catalyzed steam methane reforming.
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Further experimental and modeling efforts are required in a comparable time and space resolutions for the validation of CFD models for fluidized bed reactors.
The present work describes a comprehensive mathematical model for simulating fluidized bed polypropylene reactors.
This paper presents a predictive aggregation rate model for spray fluidized bed melt granulation.
An improved coupling method is proposed to ensure mass conservation in a previously developed DPM-CFD model (C.L. Wu et al., Three-dimensional discrete particle model for gas solid fluidized bed on unstructured mesh, Chemical Engineering Journal 152 (2009), 514 529).
Models in the literature for fluidized bed coal combustors are tabulated and examined with regard to their critical assumptions.
A predictive model of the radiation distribution for fluidized bed photocatalytic reactors was proposed and solved by means of the Monte Carlo approach coupled with the ray tracing technique.
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