Abstract
<p>Air classification of particulate materials is a method of classifying particles into coarse and fine fractions based on their size, density, or shape. Performance of the rotor air classifier is affected by operating parameters which include the classifier rotor speed, air inlet velocity and material feed rate. Effects of operating and structural parameters on turbulent flow field patterns inside of a dynamic air classifier are investigated. Increasing the computing power, together with new turbulence models and<br />approaches, to simulate complex fully turbulent problems by solving Navier-Stokes equations allows studying and capturing smaller flow structures and properties more accurately. Velocity vector maps for varying operating parameters are studied by means of numerical simulations. The experimental section includes a visualization of flow patterns and velocity vector maps in the rotor region by the use of the particle image velocimetry (PIV). Results are compared and discussed.</p>
Highlights
Air classification of powder materials with the use of a dynamic air classifier is a method of separating particles into 2 or more fractions based on their size
Particles with the size equal to the predetermined cut size have a 50% probability of being collected together with either fine or coarse powders [3, 4]. Such ideal process does not exist due to various stochastic factors such as particle collisions during which the coarse particles can capture the fine particles or fine particles can get into the aerodynamic wake formed behind other particles, or turbulent flow structures, and some finer ones get into the coarse product and vice versa [5,6,7]
The wind sifter unit is installed in a closed circuit with a centrifugal fan re-circulating the air, which is used for the particle classification and transport
Summary
Air classification of powder materials with the use of a dynamic air classifier is a method of separating particles into 2 or more fractions based on their size. These devices are used with a great success across a wide spectrum of industries ranging from chemical to pharmaceutical, due to their efficiency, sharp separation and the capability of adjusting product parameters. The presented paper deals with numerical (CFD) and experimental (PIV) investigations of fluid phase flow patterns and velocity vector maps inside the rotor air classifier
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