CFD approach for the moisture prediction in spray chamber for drying of salt solution

Salem, Amin; Ahmadlouiedarab, M.; Ghasemzadeh, Kamran

doi:10.1016/j.jiec.2010.10.023

Cited by 20 publications

(9 citation statements)

References 8 publications

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“…( 16) are then estimated to account for the resistance of liquid evaporation from the droplet and later on from the particle as a function of process parameters. The ability to express the REA model by ordinary differential equations ( 28) makes the REA model very attractive to be easily implemented in large scale modeling (computational fluid dynamics (CFD) simulation) of the spray drying process (3,43,44).…”

Section: Application Of Reaction Engineering Approach (Rea) For Modeling Single Droplet Drying Behaviormentioning

confidence: 99%

Modeling Drying Behavior of an Aqueous Chitosan Single Droplet Using the Reaction Engineering Approach

Zaitone

Al-Zahrani

2020

AAPS PharmSciTech

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Spray drying of Chitosan solutions to prepare microparticles either using pilot or industrial scale spray dryer is a complex process; tracking morphological changes and obtaining drying kinetics of a single droplet would be very difficult. The acoustic levitator being a non-intrusive method is a useful experimental apparatus that enables particle/droplet suspension in the gaseous medium and capable of mimicking the drying process in a spray dryer. The drying of chitosan aqueous solutions into solid particles was investigated. The prediction of the size and drying kinetics until the formation of the solid structure was performed in an acoustic levitator. Studying the drying of single droplets is crucial for revealing the influence of the drying process parameters on the formation of dried particles. Droplets with initial chitosan concentration (10, 20, and 30 mg/ml) were investigated at different air-drying temperatures. A Reaction Engineering Approach (REA) model was developed and compared with the experimental drying curves, a very well agreement was found between the drying experiments and the REA model with a relative error of about 3% between the initial droplet mass and predicted droplet mass by the REA model.

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Section: Application Of Reaction Engineering Approach (Rea) For Modeling Single Droplet Drying Behaviormentioning

confidence: 99%

Modeling Drying Behavior of an Aqueous Chitosan Single Droplet Using the Reaction Engineering Approach

Zaitone

Al-Zahrani

2020

AAPS PharmSciTech

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“…Similarly, Ali et al [7] developed a Eulerian-Lagrangian multiphase CFD simulation of a counter-current dryer and obtained solid phase concentration maps and residence time distributions of the discrete phase. Straatsma et al [8] and Salem et al [9] simulated the humidity and temperature contours of a co-current spray dryer to reduce fouling and adjust the energy consumption. Other reported studies focussing on the flow patterns of gas only and multiphase flow within the dryer including the effect of various geometric features are those of Langrish et al [10], who studied the effect of the spray opening angles; Southwell and Langrish [11], who observed a fluctuation pattern in the flow, the spinning of which along the longitudinal axis of the vessel switches from clockwise to anti-clockwise; and Xiao et al [12], who checked the dispersion behavior of a spray nozzle generating uniform sized particles.…”

Section: Latin Symbolsmentioning

confidence: 99%

Numerical and experimental characterization of the hydrodynamics and drying kinetics of a barbotine slurry spray

Sebastia‐Saez

Hernández

Arellano‐García

et al. 2019

Chemical Engineering Science

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Spray drying is a basic unit operation in several process industries such as food, pharmaceutical, ceramic, and others. In this work, a Eulerian-Lagrangian three-phase simulation is presented to study the drying process of barbotine slurry droplets for the production of ceramic tiles. To this end, the simulated velocity field produced by a spray nozzle located at the Institute of Ceramic Technology in Castelló (Spain) is benchmarked against measurements obtained by means of laser Doppler anemometry in order to validate the numerical model. Also, the droplet size distribution generated by the nozzle is obtained at operating conditions by means of laser diffraction and the data obtained are compared qualitatively to those found in the literature. The droplet size distribution is introduced thereafter in the three-phase simulation to analyse the drying kinetics of individual droplets. The model predicts the theoretical linear evolution of the square diameter (D 2-law), and the temperature and mass exchange with the environment. The proposed model is intended to support the design and optimization of industrial spray dryers.

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“…In the above-presented literature for modeling the two-phase spray drying processes, authors used the Eulerian-Lagrangian multiphase modeling approach based on the Particle-Source-In Cell (PSI-CELL) model of Crowe et al [37] The choice for the turbulence model depended on the type of inlet flow. For low to moderate swirling flows, as encountered in co-current spray dryer geometries, the standard k-epsilon turbulence model has shown good accuracy [28,31,32,34,38,39], while for highly swirling flows such as those encountered in counter-current dryers, the Reynolds Stress Model [6,36,40], k-omega SST model [41], or k-epsilon RNG [29,42,43] were recommended. Furthermore, using reflecting particle-wall boundary conditions provided more accurate results than escape particle-wall boundary conditions [6,32].…”

Section: Introductionmentioning

confidence: 99%

Numerical Study and Experimental Validation of Skim Milk Drying in a Process Intensified Counter Flow Spray Dryer

Rahman

Pozarlik

2021

Energies

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This research presents 3D steady-state simulations of a skim milk spray drying process in a counter-current configuration dryer. A two-phase flow involving gas and discrete phase is modeled using the Eulerian–Lagrangian model with two-way coupling between phases. The drying kinetics of skim milk is incorporated using the Reaction Engineering Approach. The model predictions are found to be in accordance with the experimental temperature measurements with a maximum average error of 5%. The validated computational model is employed further to study the effects of nozzle position, initial spray Sauter Mean Diameter (SMD), air inlet temperature, and feed rate on the temperature and moisture profiles, particle impact positions, drying histories, and product recovery at the outlet. The location of the nozzle upwards (≈23 cm) resulted in maximum product recovery and increased the mean particle residence time at the outlet. A similar trend was observed for the highest feed rate of 26 kg/h owing to the increased spray penetration upstream in the chamber. The maximum evaporation zone was detected close to the atomizer (0–10 cm) when the spray SMD is 38 µm, whereas it shifts upstream (40–50 cm) of the dryer for an SMD of 58 µm. The high air inlet temperature resulted in enhanced evaporation rates only in the initial 10–20 cm distance from the atomizer. The results obtained in this study are beneficial for the development of the novel vortex chamber-based reactors with a counter flow mechanism.

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CFD approach for the moisture prediction in spray chamber for drying of salt solution

Cited by 20 publications

References 8 publications

Modeling Drying Behavior of an Aqueous Chitosan Single Droplet Using the Reaction Engineering Approach

Modeling Drying Behavior of an Aqueous Chitosan Single Droplet Using the Reaction Engineering Approach

Numerical and experimental characterization of the hydrodynamics and drying kinetics of a barbotine slurry spray

Numerical Study and Experimental Validation of Skim Milk Drying in a Process Intensified Counter Flow Spray Dryer

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