Cyclone Optimisation Including Particle Clustering
In this work, a new family of geometries of reverse-flow cyclones was obtained through numerical optimisation, using a stochastic random search global optimizer coupled with the PACyc model.
The objective was to optimise the geometry of a reverse-flow cyclone taking into account inter-particle agglomeration (clustering), since this phenomenon usually occurs to some degree in industrial cyclone operation, increasing the collection of fine particles.
Experimental results for three kinds of particles and particle size distributions are shown using a pilot-scale unit.
An industrial implementation of the new optimised cyclone is described and the results concerning the performance of the system are shown and compared with predictions from the PACyc model.
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