
| Spray drying in the food industry | |||||||||||
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Drying and fouling The primary goal of spray drying is removing water.
Under normal operating conditions the powder particles
are enough dry before they hit the walls of the spray
dryer, such that they do not stick to the walls. The
drying behavior strongly depends on the spray characteristics
and the feed composition. Stickiness is related to the
drying state of the particles. Incorrect operating conditions,
which do not match the drying behavior of the particles,
can therefore lead to fouling. |
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To enhance the accessibility
of CFD knowledge, CD-adapcoand NIZO food research have
cooperated to develop an Expert System for predicting the
drying and fouling behavior of spray dryers: es-spraydry.
An easy-to-use GUI guides the user through defining the
spray drying system, defining the product characteristics,
setting up the processing conditions, mesh generation,
running the calculations and post-processing the results.
The es-spraydry tool can be used to design spray dryers,
to check whether a specific dryer is suitable for a specific
product or to investigate the effect of changes in processing
conditions on the drying and fouling behavior of dryers. Agglomeration Some powder properties (e.g. solubility) can be related
to the moisture content and the temperature-time history
of the particles. For these properties the modeling techniques
described above can be used. Many powder quality properties,
however, are related to the degree of agglomeration.
Agglomeration is a size enlargement process of powders,
where small particles combine to form large relatively
permanent structures, in which the original particles
are still identifiable (see figure 4). |
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A stochastic collision model is used to predict the collision probability and impact details. When a collision occurs, the drying state of the particles and the impact details determine whether the particles rebound, coalesce or agglomerate. Agglomeration occurs when particles are sticky. For many food products stickiness is strongly related to glass transition. The particle composition and the moisture content of the outer layer determine the glass transition temperature and thereby the stickiness of the particle, which influences the agglomeration process. Figure 5 shows the result of a test calculation in a cubic geometry, initially containing a binary mixture of dry and viscous primary particles. The probability density function of the relative penetration depth is shown for various viscosities. There is a significant influence of viscosity on agglomeration and the structure of agglomerates. With increasing viscosity the mass fraction of agglomerates increases, as given the label of figure 5. Moreover, penetration depths are reduced and the agglomerate size distribution becomes narrower, resulting in a larger, more homogeneous agglomerate population with improved powder properties. |
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With the help of CD-adapco, NIZO food research integrated all sub-models in STAR-CD. Pilot plant validation trials and industrial scale experiments were carried out by the industrial partners in the project to produce validation data for the CFD model. The final validation work is currently in progress.
• M. Sommerfeld, ‘Validation of a stochastic
Lagrangian modeling approach for inter-particle collisions
in homogeneous isotropic turbulence’, Int. J.
Multiphase Flow 2001, Vol. 27, 1829-1858.
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