Measurement and Modelling of the Air Flow Pattern in a Pilot-Plant Spray Dryer

Kieviet, FG Frank; Raaij, van J; Moor, de P-Pea; Kerkhof, Pjam Piet

doi:10.1205/026387697523778

Cited by 48 publications

(32 citation statements)

References 5 publications

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“…The dryer of the same geometry as one reported by Kieviet et al [41] was chosen in the present study. The dryer consisted of the cylindrical and conical sections.…”

Section: Quadratic Regression Meta Modelmentioning

confidence: 99%

Effect of process parameters on energy performance of spray drying with exhaust air heat recovery for production of high value particles

Julklang

Golman

2015

Applied Energy

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“…The dryer of the same geometry as one reported by Kieviet et al [41] was chosen in the present study. The dryer consisted of the cylindrical and conical sections.…”

Section: Quadratic Regression Meta Modelmentioning

confidence: 99%

Effect of process parameters on energy performance of spray drying with exhaust air heat recovery for production of high value particles

Julklang

Golman

2015

Applied Energy

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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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“…While these are beneficial in combustion, for they increase mixing and stabilize the flame, they are considered detrimental to the collection efficiency in cyclones. In co-current dryers, the studies of turbulence of among others, Usui et al [17], Langrish et al [18] and Kieviet et al [19] report similar aerodynamic instabilities, followed by the work of Southwell and Langrish [20] and Langrish et al [21], but no data in this regard is available for counter-current swirl units.…”

Section: Introductionmentioning

confidence: 99%

An experimental investigation of the swirling flow in a tall-form counter current spray dryer

Francia

Martín

Bayly

et al. 2015

Experimental Thermal and Fluid Science

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a b s t r a c tThis work studies the air flow in a large swirl counter-current dryer using sonic anemometry. Air velocity and turbulence fields are reported at isothermal conditions and in the absence of particles. In a tall-form unit the structure of the flow is largely influenced by the design of the exit. A contraction originates a central jet and suppresses the formation of recirculation zones despite the vortex acquires a high swirl intensity X (i.e. 1 < X < 2). Access to a full scale tower has permitted to: (a) identify asymmetries owed to the design of inlet and exhaust ducts, (b) present the first detailed turbulence data in production units, characterized by a highly anisotropic field and the axial decay of the turbulence kinetic energy, (c) study the flow stability, identifying the precession of the vortex core and oscillations at a constant Strouhal number and (d) study the impact that a rough wall has in the strength of the swirl. This work presents the first clear evidence of significant friction in spray dryers. The swirl intensity X decays exponentially in the dryer at a rate between 0.08 and 0.09, much higher than expected in pipe flow and independent of Re in the range 10 5 -2.2 Á 10 5 . Production dryers have a large characteristic wall roughness due the presence of deposits, which explains the stronger friction and the discrepancies found in the past between data at full scale or clean laboratory or pilot scale units. It is essential to address this phenomenon in current numerical models, which are validated on laboratory or pilot scale facilities and ignore the role of deposits, thus causing an overprediction of the tangential velocity above 30-40%.

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Measurement and Modelling of the Air Flow Pattern in a Pilot-Plant Spray Dryer

Cited by 48 publications

References 5 publications

Effect of process parameters on energy performance of spray drying with exhaust air heat recovery for production of high value particles

Effect of process parameters on energy performance of spray drying with exhaust air heat recovery for production of high value particles

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

An experimental investigation of the swirling flow in a tall-form counter current spray dryer

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