Understanding the Bicomponent Particle Separation Mechanism in a Hydrocyclone Using a Computational Fluid Dynamics Model

Padhi, Mandakini and Kumar, Mayank and Mangadoddy, Narasimha (2020) Understanding the Bicomponent Particle Separation Mechanism in a Hydrocyclone Using a Computational Fluid Dynamics Model. Industrial & Engineering Chemistry Research, 59 (25). pp. 11621-11644. ISSN 0888-5885

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The multiphase numerical modeling of hydrocyclone performance is studied using heterogeneous (bidensity and similar particle-size distribution) feed particle systems. The modified Algebraic Slip Model with Large Eddy Simulation model is utilized for simulating the particle dynamics and turbulence field. The centrifugal (Fc), drag (Fd), and turbulent dispersion (Ftd) forces are quantified and assessed to understand the particle separation mechanism. The acceleration ratios (Nt and ND) quantities are compared radially at different axial locations at feed solids loadings of 10-20 wt %. The fine particles (<11 μm) of lesser density is observed segregating toward the air core (ND > 1). The Nt values for the finer and denser components are observed to be higher near the spigot region, indicating the dense medium effect, enhancing the fines misplacement to underflow. However, inertial forces (Fc) dominantly influence the coarser particles. The equilibrium envelopes for each particle size and density are evaluated to illustrate the interaction of component in the mixture and standalone-component classification performances.

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IITH Creators:
IITH CreatorsORCiD
Mangadody, Narasimhahttp://orcid.org/0000-0002-3123-2811
Item Type: Article
Uncontrolled Keywords: Acceleration ratio; Classification performance; Computational fluid dynamics modeling; Interaction of components; Particle dynamics; Particle separation; Turbulence fields; Turbulent dispersion
Subjects: Chemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 07 Jul 2021 04:22
Last Modified: 14 Mar 2022 06:35
URI: http://raiith.iith.ac.in/id/eprint/8146
Publisher URL: http://doi.org/10.1021/acs.iecr.9b06747
OA policy: https://v2.sherpa.ac.uk/id/publication/7779
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