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 language | English |
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Pages (from-to) | 3878-3890 |
Number of pages | 13 |
Journal | AIChE Journal |
Volume | 58 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 2012 |
Externally published | Yes |
Keywords
- Computational fluid dynamics
- Fluid mechanics
- Mathematical modeling
- Mixing
- Turbulence