Drying Kinetics and Particle Residence Time in Spray Drying

Zbiciński, Ireneusz; Strumiłło, Czesław; Delag, Agnieszka

doi:10.1081/drt-120015412

Cited by 61 publications

(21 citation statements)

References 5 publications

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“…The average RT is 3.3 s, which is much lower than the gas residence time (22.4 s), because this RTD was calculated for the primary RT and the particles travel with a high velocity for a short period after leaving the atomiser. Zbicinski et al [21] also concluded from their experimental results that there is no simple relation between gas and particle mean RTs. The RTDs of the different size classes of particles are shown in Fig.…”

Section: Particle Residence Time Distributionsmentioning

confidence: 88%

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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Section: Particle Residence Time Distributionsmentioning

confidence: 88%

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

et al. 2010

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“…3 The cocurrent dryer is the most universal and the most often used type of drying chamber. 25 In addition, the drying kinetics and particle behavior inside the cocurrent drying chamber are the best known. On the industrial scale, cocurrent chambers are used for drying substances that are relatively easy to dry and for drying at considerably high temperatures without risking overheating of the product.…”

Section: Cocurrent Dryersmentioning

confidence: 99%

Spray Drying Technique. I: Hardware and Process Parameters

Cal

Sollohub

2010

Journal of Pharmaceutical Sciences

302

188

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“…It is usually considered that hot gas and droplets are moving in parallel within the drying chambers [70]. This simulation approach is widely used to model product characteristics during spray drying where tall-form spray dryers were used [72,109,110,112]. A major advantage of the 1-D approach is the capability to evaluate the "average" behavior (temperature, moisture concentration and velocity profiles) of the powder and hot gas following drying time or dryer height integration.…”

Section: "1-d" (Finer-scale) Simulation Approachmentioning

confidence: 99%

“…The 1-D simulation approach has previously been used to model spray drying operations due to its ability to predict a product's moisture, temperature and velocity profiles throughout drying [30,31,48,66,70,72,73,109,112]. Three main components to formulate the 1-D simulation tool for modeling spray drying processes are (1) drying kinetics data from laboratory-scale experiments and drying kinetics model, (2) a set of appropriate mathematical equations, and (3) a process calculation tool (e.g.…”

Section: One-dimensional Simulationmentioning

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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Drying Kinetics and Particle Residence Time in Spray Drying

Cited by 61 publications

References 5 publications

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

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

Spray Drying Technique. I: Hardware and Process Parameters

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

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