Mechanisms for drawdown of floating particles in a laminar stirred tank flow

He Gong, Fenglei Huang, Zhipeng Li, Zhengming Gao, J. J. Derksen

Research output: Contribution to journalArticle

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4 Downloads (Pure)

Abstract

Particle image velocimetry (PIV) experiments on a laminar stirred tank flow with floating particles at just drawdown conditions were performed. Careful refractive index matching of the two phases allowed to resolve the flow around the particles. The maximum solids volume fraction was 4%. The impeller was a pitched blade turbine with upward and downward pumping modes and with different off-bottom clearances, and the impeller-based Reynolds number
ranged from about 50 to 120. Computational fluid dynamics (CFD) coupled to a discrete phase model (DPM) and discrete element method (DEM) was used to predict the flow field, with an emphasis on the tangential velocity component. The liquid velocity profiles predicted by the CFD simulations are in good agreement with the PIV experimental data. The drawdown process and local particle accumulation simulated by the DPM-DEM model agrees with the experimental phenomena as well. Tangential velocity and particles collisions around the shaft trigger the onset of the drawdown of the floating particles.
Original languageEnglish
Pages (from-to)340-350
Number of pages11
JournalChemical Engineering Journal
Volume346
Early online date5 Apr 2018
DOIs
Publication statusPublished - 15 Aug 2018

Fingerprint

drawdown
Finite difference method
Velocity measurement
Computational fluid dynamics
discrete element method
computational fluid dynamics
Turbomachine blades
Volume fraction
Refractive index
Flow fields
Turbines
refractive index
velocity profile
shaft
turbine
flow field
Computer simulation
Liquids
pumping
collision

Keywords

  • drawdown
  • floating particles
  • particle image velocimetry
  • refractive index matching
  • stirred tank

Cite this

Mechanisms for drawdown of floating particles in a laminar stirred tank flow. / Gong, He; Huang, Fenglei; Li, Zhipeng; Gao, Zhengming; Derksen, J. J.

In: Chemical Engineering Journal, Vol. 346, 15.08.2018, p. 340-350.

Research output: Contribution to journalArticle

Gong, He ; Huang, Fenglei ; Li, Zhipeng ; Gao, Zhengming ; Derksen, J. J. / Mechanisms for drawdown of floating particles in a laminar stirred tank flow. In: Chemical Engineering Journal. 2018 ; Vol. 346. pp. 340-350.
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abstract = "Particle image velocimetry (PIV) experiments on a laminar stirred tank flow with floating particles at just drawdown conditions were performed. Careful refractive index matching of the two phases allowed to resolve the flow around the particles. The maximum solids volume fraction was 4{\%}. The impeller was a pitched blade turbine with upward and downward pumping modes and with different off-bottom clearances, and the impeller-based Reynolds numberranged from about 50 to 120. Computational fluid dynamics (CFD) coupled to a discrete phase model (DPM) and discrete element method (DEM) was used to predict the flow field, with an emphasis on the tangential velocity component. The liquid velocity profiles predicted by the CFD simulations are in good agreement with the PIV experimental data. The drawdown process and local particle accumulation simulated by the DPM-DEM model agrees with the experimental phenomena as well. Tangential velocity and particles collisions around the shaft trigger the onset of the drawdown of the floating particles.",
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AU - Derksen, J. J.

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AB - Particle image velocimetry (PIV) experiments on a laminar stirred tank flow with floating particles at just drawdown conditions were performed. Careful refractive index matching of the two phases allowed to resolve the flow around the particles. The maximum solids volume fraction was 4%. The impeller was a pitched blade turbine with upward and downward pumping modes and with different off-bottom clearances, and the impeller-based Reynolds numberranged from about 50 to 120. Computational fluid dynamics (CFD) coupled to a discrete phase model (DPM) and discrete element method (DEM) was used to predict the flow field, with an emphasis on the tangential velocity component. The liquid velocity profiles predicted by the CFD simulations are in good agreement with the PIV experimental data. The drawdown process and local particle accumulation simulated by the DPM-DEM model agrees with the experimental phenomena as well. Tangential velocity and particles collisions around the shaft trigger the onset of the drawdown of the floating particles.

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