Particle-resolved CFD simulation of fixed bed pressure drop at moderate to high Reynolds number

Research on a New Drag Force Model for Cylindrical Particles in Fixed Bed Reactors

Fixed bed reactors play an important role in converting solid wastes to high-quality products. The solid wastes, as well as the corresponding catalysts, are often made into cylindrical particles. However, research on the drag force for cylindrical particles is still rarely reported. In this work, the fixed bed porosity was firstly predicted with the unresolved CFD-DEM method and validated against experimental data. Then, the Ergun model, Di Felice model, and Ganser model were evaluated against the reported pressure drop data for both the spherical and cylindrical particles, so that a more solid drag force theory could be selected as a candidate for cylindrical particles. Finally, a new Ganser model was proposed for cylindrical particle drag force prediction based on the reported experimental results and validated by other experimental data. It was found that, for the spherical particle bed, the relative prediction errors of the Di Felice model are approximately 10%, while those of the Ergun model are approximately 15%. For the cylindrical particle bed, the relative prediction errors of the Ganser model are approximately 10%, while those of the Di Felice model are much higher than 10%. With the new Ganser model proposed in this work, the maximum error between the predicted pressure drop and the experimental data can be lowered to approximately 5%. The research is of reference value for drag force model selection when simulating similar FBRs with cylindrical particles.

CFD Modeling and Simulation of the Axial Dispersion Characteristics of a Fixed-Bed Reactor

In this study, the axial dispersion characteristics of a fixed-bed reactor with different packed structures were investigated via computational fluid dynamics (CFD) simulation. The discrete element method was employed to develop the physical model of a fixed bed. Then, CFD simulations were performed to investigate the flow resistance coefficient under different Reynolds numbers. The prediction values were in fair agreement with those calculated by the Carman equation, thereby validating the proposed CFD model. The tracer pulse method and the step method were employed to evaluate the residence time distribution characteristics in the fixed-bed reactors where the mean residence time and axial dispersion coefficient were calculated. The distribution characteristics of the tracer concentration and fluid velocity were also obtained and used to explain the mixing performance of the fixed bed. This simulation study can contribute to the optimization design and scaling up of reactors with porous packed structures.