Fingerprints of the Drying Behaviour of Particulate or Thin Layer Food Materials Established Using a Reaction Engineering Model

Chen, Xiao; Xie, Guoqi

doi:10.1205/096030897531612

Cited by 125 publications

(146 citation statements)

References 25 publications

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“…2. Thin-layer drying: In this technique, materials are dried in a thin-layer (or slab) form in order to record changes in the sample's temperature, weight and thickness [6,19,20,24,58]. The effective area for heat-mass transfer is assumed to be constant when estimating drying flux.…”

Section: Drying Kinetics Measurementmentioning

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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Section: Drying Kinetics Measurementmentioning

confidence: 99%

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

Patel

Chen

Jeantet

et al. 2010

Dairy Sci. Technol.

View full text Add to dashboard Cite

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“…The drying curves obtained ( Figure 3) were modeled using the REA model, which was previously used to model the drying kinetics of nanoparticle suspensions providing good results [20]:…”

Section: Application Of Rea Modelmentioning

confidence: 99%

“…For V 0 = 0.3 μl, the mass transfer coefficient resulted in h m = 0.0798 m/s, whereas for V 0 = 0.8 μl, the mass transfer coefficient resulted in h m = 0.0796 m/s. More details can be found in Mondragon et al [20].…”

Section: Application Of Rea Modelmentioning

confidence: 99%

“…The reaction engineering approach model has been also successfully used to model the drying kinetics of thin and thick layers of food materials with accuracy [20,36]. Finally, the model has been used to to predict the drying kinetics of droplets of different liquids and suspensions (skim milk, whole milk, lactose, proteins, sucrose, maltodextrin, glucose, silica nanofluids) [11][12][13][14][15][16][17][18][19]37].…”

Section: Introductionmentioning

confidence: 99%

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Influence of Particle Size on the Drying Kinetics of Single Droplets Containing Mixtures of Nanoparticles and Microparticles: Modeling and Pilot-Scale Validation

et al. 2013

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The particle size of the primary particles is an important parameter influencing the drying behavior of droplets. In this work the influence of the particle size on the drying kinetics and the grain properties has been analyzed for droplets containing silica, microparticles and their mixtures. The presence of microparticles has been found to increase the drying rate and the shrinkage of the droplet. The drying curves have been modeled using the REA model. Finally, different suspensions were dried in a pilotscaled spray dryer in order to prove the influence of the particle size obtained in the levitator tests.

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“…The simplest models are limited to predicting the bulk moisture content of droplets as they dry. Such models may be based on the idea of a characteristic drying curve, [29,33] or a reaction-engineering approach, [7][8][9]. Such models have the advantage of being computationally cheap when implemented within computational fluid dynamics (CFD) codes, but provide limited information about the drying droplets.…”

Section: Introductionmentioning

confidence: 99%

A new model for the drying of droplets containing suspended solids after shell formation

Handscomb

Kraft

Bayly

2009

Chemical Engineering Science

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Fingerprints of the Drying Behaviour of Particulate or Thin Layer Food Materials Established Using a Reaction Engineering Model

Cited by 125 publications

References 25 publications

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

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

Influence of Particle Size on the Drying Kinetics of Single Droplets Containing Mixtures of Nanoparticles and Microparticles: Modeling and Pilot-Scale Validation

A new model for the drying of droplets containing suspended solids after shell formation

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