A Lagrangian study of liquid flow in a reverse-flow hydrocyclone using positron emission particle tracking

A Lagrangian study of liquid flow in a reverse-flow hydrocyclone using positron emission particle... In this study, the liquid flow in a reverse-flow hydrocyclone is studied experimentally using the Lagrangian approach. Resin beads with densities that are close to the density of the liquid in which they move, i.e., neutral-density particles, are used to model a fluid element in the highly turbulent flow in a hydrocyclone separator and tracked using PEPT with a temporal resolution of up to 0.5 ms. A method of producing neutral-density particles for PEPT was developed. The data processing algorithm was improved for the extra challenging tracking conditions that were encountered. The components of velocity, which reveal the detailed velocity field of the fluid, were calculated from the positions of the tracers. Various noise-removal methods, again to cope with the challenging tracking conditions, were applied and discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Experiments in Fluids Springer Journals

A Lagrangian study of liquid flow in a reverse-flow hydrocyclone using positron emission particle tracking

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2014 by Springer-Verlag Berlin Heidelberg
Subject
Engineering; Engineering Fluid Dynamics; Fluid- and Aerodynamics; Engineering Thermodynamics, Heat and Mass Transfer
ISSN
0723-4864
eISSN
1432-1114
D.O.I.
10.1007/s00348-014-1875-5
Publisher site
See Article on Publisher Site

Abstract

In this study, the liquid flow in a reverse-flow hydrocyclone is studied experimentally using the Lagrangian approach. Resin beads with densities that are close to the density of the liquid in which they move, i.e., neutral-density particles, are used to model a fluid element in the highly turbulent flow in a hydrocyclone separator and tracked using PEPT with a temporal resolution of up to 0.5 ms. A method of producing neutral-density particles for PEPT was developed. The data processing algorithm was improved for the extra challenging tracking conditions that were encountered. The components of velocity, which reveal the detailed velocity field of the fluid, were calculated from the positions of the tracers. Various noise-removal methods, again to cope with the challenging tracking conditions, were applied and discussed.

Journal

Experiments in FluidsSpringer Journals

Published: Jan 10, 2015

References

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