Direct numerical simulation of the turbulent flow in a baffled tank driven by a Rushton turbine

J. J.J. Gillissen, H. E.A. Van den Akker

Research output: Contribution to journalArticlepeer-review

Abstract

We present a direct numerical simulation (DNS) of the turbulent flow in a baffled tank driven by by a Rushton turbine. The DNS is compared to a Large Eddy Simulation (LES), a Reynolds Averaged Navier-Stokes (RANS) simulation, Laser Doppler Velocimetry data, and Particle Image Velocimetry data from the literature. By Reynolds averaging the DNS-data, we validate the turbulent viscosity hypothesis by demonstrating strong alignment between the Reynolds stress and the mean strain rate. Although the turbulent viscosity ν T in the DNS is larger than in the RANS simulation, the turbulent viscosity parameter C μ = ν Tε{lunate}/k 2, is an order of magnitude smaller than the standard 0.09 value of the k-ε{lunate} model. By filtering the DNS-data, we show that the Smagorinsky constant C S is uniformly distributed over the tank with C S ≈ 0.1. Consequently, the dynamic Smagorisnky model does not improve the accuracy of the LES.

Original languageEnglish
Pages (from-to)3878-3890
Number of pages13
JournalAIChE Journal
Volume58
Issue number12
DOIs
Publication statusPublished - Dec 2012
Externally publishedYes

Keywords

  • Computational fluid dynamics
  • Fluid mechanics
  • Mathematical modeling
  • Mixing
  • Turbulence

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