Volume 40, Issue 5 pp. 967-972
Research Article

A Probabilistic-Statistical Model of the Particle Classification Process in Small Hydrocyclone Classifiers

Alina V. Krokhina

Corresponding Author

Alina V. Krokhina

Bauman Moscow State Technical University, Power Engineering Department, 2nd Baumanskaya str. 5, 105005 Moscow, Russia

Correspondence: Alina V. Krokhina ([email protected]), Bauman Moscow State Technical University, Power Engineering Department, 2nd Baumanskaya str. 5, 105005 Moscow, Russia.Search for more papers by this author
Vladimir A. Lvov

Vladimir A. Lvov

Bauman Moscow State Technical University, Power Engineering Department, 2nd Baumanskaya str. 5, 105005 Moscow, Russia

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Gennady P. Pavlikhin

Gennady P. Pavlikhin

Bauman Moscow State Technical University, Power Engineering Department, 2nd Baumanskaya str. 5, 105005 Moscow, Russia

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First published: 04 March 2017
Citations: 8

Abstract

Various chemical engineering processes, such as separation, purification or classification, apply hydrocyclones, either stand-alone or as cascaded, multi-level systems. However, calculation of transfer processes in hydrocylcone classifiers remains difficult due to the complex behavior of the dispersed particles. Here, an analytical model of particle classification process of liquid-solid polydisperse systems in cylinder-cone hydrocyclone classifiers of small sizes has been developed. The applicability of a probability and statistical calculation method by using diffusion-type equations and, in particular, the Fokker-Planck-Kolmogorov equation, is theoretically shown.

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