Numerical investigation of agglomeration phenomenon in fluidized beds by a combined CFD-DEM/PBM technique
| Autor: | Navid Mostoufi, Saeed Hasanpoor, Zahra Mansourpour |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
education.field_of_study
Work (thermodynamics) Materials science Economies of agglomeration Population General Engineering 02 engineering and technology Mechanics 021001 nanoscience & nanotechnology Computer Science Applications 020401 chemical engineering Computational Theory and Mathematics Collision frequency Fluidized bed Particle-size distribution 0204 chemical engineering 0210 nano-technology education Software CFD-DEM SIMPLE algorithm |
| Zdroj: | Engineering Computations. 38:1303-1329 |
| ISSN: | 0264-4401 |
| DOI: | 10.1108/ec-06-2020-0310 |
| Popis: | Purpose The purpose of this paper is to fundamentally develop a mathematical model for predicting the particle size distribution (PSD) in fluidized beds because their hydrodynamics depend on the PSD and its evolution during operation. To predict the gradual PSD change in a fluidized bed by using the population balance method (PBM), the kinetic parameter for agglomerate formation should be known and this parameter, in this work, is determined by the results of computational fluid dynamic–discrete element method (CFD-DEM) simulation. Design/methodology/approach Momentum and energy conservation equations and soft-sphere DEM are used to simulate the agglomeration phenomenon at high temperature in a two-dimensional air-polyethylene fluidized bed in bubbling regime. The Navier–Stokes equations for motion of gas are solved by the SIMPLE algorithm. Newton’s second law of motion is applied to describe the motion of individual particles. Collision between particles is detected by the no-binary search algorithm. Findings A correlation is proposed for estimating the kinetic parameter for agglomerate formation based on collision frequency, collision efficiency and inlet gas temperature. Based on the corrected kinetic parameter, the PBM is able to predict the PSD evolution in the fluidized bed in a fairly good agreement with the results of the CFD-DEM. Research limitations/implications The results of the agglomeration process cannot be compared quantitatively with experimental results. Because three-dimensional fluidized bed mostly contains millions of particles and simulating them takes a long computing time in DEM. As far as temperature is a dominant parameter in the agglomeration process, effects of inlet gas temperature are examined on the kinetic parameter. On the other hand, wider and deeper insights in which the effect of other parameters, such as velocity and so on will be studied, is one of the goals in the authors’ next works to compensate for the shortcomings in this work. Originality/value This study helps to understand the effect of the inlet gas temperature during the agglomeration process on the kinetic parameter and provides fundamental information in dealing with kinetic parameter to attain PSD in fluidized bed by the PBM. |
| Databáze: | OpenAIRE |
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