A comparative study of a spray dryer with rotary disc atomizer and pressure nozzle using computational fluid dynamic simulations

Huang, Li Xin; Kumar, Kurichi; Mujumdar, Arun S.

doi:10.1016/j.cep.2005.11.004

Cited by 100 publications

(44 citation statements)

References 10 publications

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“…Moreover, the temperature of the gas outside the core is almost uniform and it appears that most of the droplets do not penetrate into this zone. This trend was also observed by Kieviet [10] and Huang et al [16] Droplet Axial Velocity…”

Section: Comparison Between Measured and Predicted Gas Temperaturessupporting

confidence: 70%

Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations

et al. 2009

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--------------------------------------------- AbstractA 3-D computational fluid dynamics (CFD) simulation for spray-freezing in a cold gas has been developed and used to identify design improvements.This model includes an approximate method to model the latent heat of fusion, and is able to track particle trajectories. The simulation predictions agreed reasonably well with experimentally measured gas temperatures and droplet velocities. The results suggest that a hollow cone spray is more effective in cooling the particles uniformly. The CFD simulation suggested that build up of an icy layer on the cone walls observed experimentally was due to incomplete freezing of larger particles (> 100 µm). Collection efficiencies could be raised (from 20% to 57%) by increasing the diameter of the chamber outlet.

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Section: Comparison Between Measured and Predicted Gas Temperaturessupporting

confidence: 70%

Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations

et al. 2009

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“…Several publications have comprehensively reported how 2-D and 3-D simulation approaches using various CFD packages (e.g. Fluent and CFX) can be helpful to predict agglomeration behavior during spray drying [33,49,97], evaluate particle trajectories [11], design new drying chamber configurations and assess atomizer performance [11,[36][37][38] as well as to study gas distribution within drying chambers [11,28,33,34,45,50,53,68,93,101,111]. The accuracy of prediction by finerscale approaches mainly depends on the selection of mass-heat-momentum conservation equations, the accuracy of turbulence models, the appropriateness of numerical methods used for solving equations and the quality of grid generation and algorithm development [28,47,50].…”

Section: "2-d" and "3-d" (Finest-scale) Simulation Approachesmentioning

confidence: 99%

One-dimensional simulation of co-current, dairy spray drying systems – pros and cons

Patel

Chen

Jeantet

et al. 2010

Dairy Sci. Technol.

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-One-dimensional (1-D) simulation is a useful technique for the evaluation of dryer operating parameters and product properties before conducting real spray drying trials. The main advantage of a 1-D simulation tool is its ability to perform fast calculations with significant simplicity. Mathematical models can be formulated using heat, mass and momentum balances at the droplet level to estimate time-dependent gas and droplet parameters. One of the purposes of this paper is to summarize key mathematical models that may be used to perform 1-D simulation for spray drying processes, predict essential product-drying gas parameters, assess the accuracy of prediction using pilot-scale spray drying data and perhaps most importantly address the main benefits and limitations of the 1-D simulation technique in relation to industrial spray drying operations. The results of a recent international collaborative study on the development of spray drying process optimization software for skim milk manufacture are presented as an example of the application of 1-D simulation in milk processing.spray drying / one-dimensional simulation / modeling / drying kinetics / dairy product / droplet drying Article published by EDP Sciences à l'échelle de la gouttelette pour estimer les paramètres de vapeur et de gouttelette qui varient au cours du temps. Un des objectifs de cet article est de présenter de façon synthétique les modèles mathé-matiques clés qui peuvent être utilisés pour réaliser une simulation 1-D, prédire les paramètres de vapeur essentiels pour le séchage du produit, évaluer la précision de la prédiction en utilisant les données du séchage par atomisation obtenues à l'échelle pilote, et enfin d'aborder les principaux bénéfices et limites de la technique de simulation 1-D en relation avec les opérations de séchage par atomisation industrielles. Les résultats d'une récente étude réalisée en collaboration internationale sur le développement d'un logiciel d'optimisation du procédé de séchage par atomisation pour la production de poudre de lait écrémé sont présentés pour illustrer l'application de la simulation 1-D.séchage par atomisation / simulation mono-dimensionnelle / modélisation / cinétique de séchage / produit laitier / séchage d'une gouttelette

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“…The PSI-Cell model was used by Papadakis and King [11] , who found good agreement between model and experimental results in a co-current spray dryer. Huang et al [8] also used this method in their comparison of spray PARTICLE HISTORIES DURING SPRAY DRYING 4 drying using rotary and pressure nozzles. However, although existing studies have used particle tracking methods in performing simulations, no studies have presented data relating to the particle histories themselves.…”

Section: Introductionmentioning

confidence: 99%

“…A number of articles have been published on CFD simulations of spray drying [5][6][7][8] (see also the review by Langrish and Fletcher [9] ). Both the EulerianEulerian and Eulerian-Lagrangian two-phase models have been used in published simulations of spray drying.…”

Section: Introductionmentioning

confidence: 99%

A Study of Particle Histories during Spray Drying Using Computational Fluid Dynamic Simulations

et al. 2010

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A study of particle histories during spray drying using computational fluid dynamic simulations --------------------------------------------- AbstractComputational fluid dynamics (CFD) models for short-form and tall-form spray dryers have been developed, assuming constant rate drying and including particle tracking using the source-in-cell method. The predictions from these models have been validated against published experimental data and other simulations. This study differs from previous work in that particle time-histories for velocity, temperature and residence time and their impact positions on walls during spray drying have been extracted from the simulations. Due to wet-bulb protection effects, particle temperatures are often substantially different from gas temperatures, which is important, since the particle temperature-time history has the most direct impact on product quality. The CFD simulation of an existing tallform spray dryer indicated that more than 60% of the particles impacted on the cylindrical wall and this may adversely affect product quality, as solids may adhere to the wall for appreciable times, dry out and lose their wet-bulb protection. The model also predicts differences between the particle primary residence time distributions (RTD) and the gas phase RTD. This study indicates that a short form dryer with a bottom outlet is more suitable for drying of heat sensitive products, such as proteins, due to the low amounts of recirculated gas and hence shorter residence time of the particles.--

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A comparative study of a spray dryer with rotary disc atomizer and pressure nozzle using computational fluid dynamic simulations

Cited by 100 publications

References 10 publications

Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations

Application of Computational Fluid Dynamics (CFD) Simulations to Spray-Freezing Operations

One-dimensional simulation of co-current, dairy spray drying systems – pros and cons

A Study of Particle Histories during Spray Drying Using Computational Fluid Dynamic Simulations

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