Simulation of Taylor-Couette reactor for particle classification using CFD

Jae Sung Kim, Dae Hun Kim, Boram Gu, Do Yeon Kim, Dae Ryook Yang

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

Dynamic characteristics about motion of Taylor vortex flow and separation of particles in Taylor-Couette reactor were investigated numerically and experimentally. Commercial computational fluid dynamics (CFD) program was used for calculation of the fluid dynamics of Taylor vortex flow and particle classification system. Gravitational and drag force balance affect the particles, when the Taylor-Couette reactor is vertically located. Thus, the particles movement depends on the size of particles and reactor operating conditions. When rotational speed of inner cylinder increases or the feed flow rate decreases, the axial moving velocity of the Taylor vortex decreases. In this study, the Taylor vortex moving velocity and moving region were determined for the various rotational speeds of the inner cylinder and inlet flow rates. To investigate the performance of particle classification, particles with various sizes injected at the center of reactor by Particle-tracking simulations. Then, the Taylor-Couette reactor applied as a crystallizer was proposed, which simultaneously classify the crystals.

Original languageEnglish
Pages (from-to)106-110
Number of pages5
JournalJournal of Crystal Growth
Volume373
DOIs
Publication statusPublished - 2013 Jun 15

Bibliographical note

Funding Information:
This work was supported by the Human Resources Development Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant (No. 20114010203070 ) funded by the Korea government Ministry of Knowledge Economy.

Keywords

  • A1. CFD
  • A1. Crystallization
  • A1. Particle classification
  • B3. Taylor-Couette reactor

ASJC Scopus subject areas

  • Condensed Matter Physics
  • Inorganic Chemistry
  • Materials Chemistry

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