SCALE-UP OF SPRAY DRYERS WITH THE AID OF COMPUTATIONAL FLUID DYNAMICS

Abstract

The scale-up of spray dryer chambers is difficult because of the complexity of gas and spray flow patterns. The principal concerns in designing a spray drying chamber are to ensure sufficient residence time for drying and to avoid particle-wall collisions. Dimensionless groups are of limited use because it is practically impossible to achieve dynamic similarity between small and large chambers. In the past, empirical, rather than theoretically based, rules generated by experience with existing plant have been used in the design and scale-up of spray dryer chambers but these models, because of their empirical nature, are limited in their range of applicability. Computational fluid dynamics (CFD) is potentially a powerful tool to aid spray dryer design allowing much more flexibility in design but because of the difficulties of modelling such complex phenomena, especially the gas turbulence, its predictions cannot, at present, be considered absolutely reliable and experimental validation of the results is required. However, by considering the principles of similarity, it is shown that validations carried out on pilot scale equipment under the correct conditions will prove the accuracy of CFD applied to spray dryers of any size.