On the Applicability of the Coarse Grained Coupled CFD-DEM Model to Predict the Heat Transfer During the Fluidized Bed Drying of Pharmaceutical Granules

Sansare, Sameera; Duran, Tibo; Gao, Yijie; Chaudhuri, Bodhisattwa

doi:10.1007/s11095-022-03366-z

Cited by 5 publications

(3 citation statements)

References 34 publications

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“…The diffusion of a scalar field φ (either moisture or heat) in a particle can be simplified as a one-dimensional diffusion equation 37,38 and expressed as (21) where r is the radical distance and D p represents the diffusion coefficient, which may be influenced by the particle moisture and temperature. 6 Assuming that the particles have a uniform moisture/temperature distribution at the beginning of the simulations, the initial conditions (t = 0) of the drying process are (22) When t > 0, the boundary conditions of the drying process are 7,39 (23) and (24) where L is the latent heat of vaporization of the water. The diffusion coefficient is dependent on the temperature of the particles 40 as (25) where D p,ref is the reference diffusion coefficient at the particle temperature of T ref .…”

Section: Intraparticle Heat and Mass Diffusionmentioning

confidence: 99%

“…The coupled computational fluid dynamics and discrete element method (CFD-DEM) is a numerical approach that offers particle-scale simulation resolution. Particle drying has been modeled using the CFD-DEM method, − primarily focusing on the first two drying periods (a) and (b). During these periods, the drying rate is predominantly influenced by external conditions, which can be readily measured and incorporated into the simulation as heat and mass transfer rates.…”

Section: Introductionmentioning

confidence: 99%

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Novel CFD-DEM Model for Spouted Bed Drying Incorporating Intraparticle Heat and Mass Diffusion

Che

Wang

et al. 2023

Ind. Eng. Chem. Res.

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In the final phase of particle drying in a spouted bed, the drying rate is governed by intraparticle heat and mass diffusion. Coupled computational fluid dynamics and the discrete element method (CFD-DEM) have proven to be suitable tools for modeling gas–solid in a spouted bed. However, existing CFD-DEM models are primarily employed to calculate the interphase heat and mass transfer rates based on an assumption of uniform intraparticle temperature and moisture distributions. Alternatively, some models take into account only the evaporation on the surface of the particles. As a result, these models may not reasonably represent the final phase of particle drying. This study introduces a novel CFD-DEM model for spouted bed drying that incorporates intraparticle heat and mass diffusion. The model combines the CFD-DEM governing equations with two one-dimensional intraparticle heat and mass diffusion equations. Benchmark cases using a spouted bed are presented to demonstrate the feasibility of the proposed model. The results indicate that the CFD-DEM model effectively reproduces the rational heat and mass transfer laws of the spouted bed particle drying process characterized by an overall decline in transfer rates. Furthermore, the model provides valuable insights into the temperature and moisture distributions within the particles. The proposed model exhibits great potential for extension to real-world industrial applications, encompassing complex heat and mass diffusion phenomena as well as coupling characteristics.

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Section: Intraparticle Heat and Mass Diffusionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Novel CFD-DEM Model for Spouted Bed Drying Incorporating Intraparticle Heat and Mass Diffusion

Che

Wang

et al. 2023

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

show abstract

“…Recently, ref used CFD-DEM coarse-graining for a spray coating process, refs , employed coarse-graining for biomass gasification research, whereas gas–solid heat transfer was investigated in our previous work . Reference studied coarse-graining CFD-DEM fluidized bed drying by applying coarse-graining techniques for fluidized bed gas–solid heat transfer. Scaled moisture transport was not incorporated into their work, and their original system contained only O (10 4 ) particles.…”

Section: Introductionmentioning

confidence: 99%