English

Large-eddy simulation and modeling of Taylor-Couette flow with an outer stationary cylinder

Fluid Dynamics 2019-08-20 v1

Abstract

We present wall-resolved large-eddy simulations (LES) of the incompressible Navier-Stokes equations together with empirical modeling for {turbulent} Taylor-Couette {(TC)} flow where the inner cylinder is rotating with angular velocity Ωi\Omega_i and the outer cylinder is stationary. A simple empirical model of the turbulent, TC flow is developed consisting of near-wall, log-like turbulent wall layers separated by an annulus of constant angular momentum. The model is closed by a proposed scaling relation concerning the thickness of the wall layer on the inner cylinder. Model results include the Nusselt number NuNu (torque required to maintain the flow) and various measures of the wall-layer thickness as a function of both the Taylor {number} TaTa and η\eta. These agree reasonably with experimental measurements, direct numerical simulation (DNS) and the present LES over a range of both TaTa and η\eta. In particular, the model shows that, at fixed η<1\eta<1, NuNu grows like Ta1/2Ta^{1/2} divided by the square of the Lambert, (or Product-Log) function of a variable proportional to Ta1/4Ta^{1/4}. This cannot be represented by a power law dependence on TaTa. At the same time the wall-layer thicknesses reduce slowly in relation to the cylinder gap. This suggests an asymptotic, very large TaTa state consisting of constant angular momentum in the cylinder gap with uθ=0.5ΩiRi2/ru_\theta = 0.5\,\Omega_i\,R_i^2/r, where rr is the radius, with vanishingly thin turbulent wall layers at the cylinder surfaces. An extension of the model to rough-wall turbulent wall flow at the inner cylinder surface is described. This shows an asymptotic, fully rough-wall state where the torque is independent of Rei/TaRe_i/Ta, and where NuTa1/2Nu\sim Ta^{1/2}.

Keywords

Cite

@article{arxiv.1908.06577,
  title  = {Large-eddy simulation and modeling of Taylor-Couette flow with an outer stationary cylinder},
  author = {Wan Cheng and Dale I. Pullin and Ravi Samtaney},
  journal= {arXiv preprint arXiv:1908.06577},
  year   = {2019}
}

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24 pages