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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/88287

    Title: Design of Novel Hydrocyclone for Improving Fine Particle Separation using Computational Fluid Dynamics
    Authors: Hwang, Kuo-jen;Hwang, Y. W.;Yoshida, H.
    Contributors: 淡江大學化學工程與材料工程學系
    Keywords: Hydrocyclone;Particle separation;Particle classification;Particle trajectory;Computational fluid dynamics;Reynolds stress model
    Date: 2013-01-14
    Issue Date: 2013-04-16 10:17:25 (UTC+8)
    Publisher: Kidlington: Pergamon
    Abstract: Several novel hydrocyclones are designed to improve fine particle separation using computational fluid dynamics. The effects of inlet size, number of inlets and top-plate types on the particle separation efficiency and cut-size sharpness are discussed based on the same feed flow rates. The fluid and particle flows are simulated using a segregated, steady-state, 3-dimensional implicit numerical solver supplied by FLUENT software. The governing equations are coupled using the SIMPLE algorithm, while the Reynolds stress model is employed for the hydrocyclone turbulent model due to its' anisotropic nature. Particle trajectories are simulated based on a Lagrangian frame considering the continuous phase interactions. The simulated particle separation efficiencies approximately agree with the available experimental data. The results show that increasing the inlet number and narrowing the inlet width are effective ways to improve the particle separation efficiency due to the increase in fluid velocity in the cylindrical parts of hydrocyclone. A cone-shaped top-plate reduces the fine particle circulation area near the outer surface of overflow conduit, significantly improving the separation efficiency of fine particles. However, increasing the cone angle has a contrary effect because of the decrease in particle residence time. Although installing an extra guide-channel from the inlet may also improve the fine particle separation efficiency, it is not effective for particle classification because of reduced particle cut-size sharpness.
    Relation: Chemical Engineering Science 85(14), pp.62-68
    DOI: 10.1016/j.ces.2011.12.046
    Appears in Collections:[Graduate Institute & Department of Chemical and Materials Engineering] Journal Article

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