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Direct numerical simulation of turbulent Taylor–Couette flow

Published online by Cambridge University Press:  02 May 2007

M. BILSON
Affiliation:
Division of Mechanical Engineering, The University of Queensland, Brisbane, 4072, Australia
K. BREMHORST
Affiliation:
Division of Mechanical Engineering, The University of Queensland, Brisbane, 4072, Australia

Abstract

Direct numerical simulation (DNS) is used to investigate turbulent Taylor–Couette (TC) flow. A simulation was run for a Reynolds number of 3200 in an apparatus with a radius ratio of η = 0.617 and an aspect ratio of 4.58, which assumed a vortex pair wavelength of 2.29. Results reported include the mean velocity, velocity fluctuation intensities, Reynolds stress budgets, and visualizations of the instantaneous velocity fluctuation field. Secondary near-wall vortex pairs are observed near to the cylinder in addition to the Taylor vortex (TV) motion. Weaker evidence of secondary vortices is found at the outer cylinder where a banded structure has been identified. The azimuthal wall shear stress component shows large peaks and valleys at stagnation points on the surface of both cylinders where flow from neighbouring vortices impacts on the respective wall. These stagnation points correspond to locations where the secondary vortices have been identified. The effect of the mean TV motion is reflected in the Reynolds stress budgets which are similar to but more complex than those of two-dimensional boundary layers. Visualization of the turbulent velocity fluctuations reveals near-wall streaks at the inner cylinder.

Type
Papers
Copyright
Copyright © Cambridge University Press 2007

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References

REFERENCES

Akselvoll, K. & Moin, P. 1996 An efficient method for temporal integration of the Navier–Stokes equation in confined axisymmetric geometries. J. Comput. Phys. 125, 454463.Google Scholar
Andereck, C. D., Liu, S. S. & Swinney, H. L. 1986 Flow regimes in a circular Couette system with independently rotating cylinders. J. Fluid Mech. 164, 155183.Google Scholar
Barcilon, A. & Brindley, J. 1984 Organized structures in turbulent Taylor–Couette flow. J. Fluid Mech. 143, 429449.CrossRefGoogle Scholar
Batten, W. M. J., Bressloff, N. W. & Turnock, S. R 2002 Transition from vortex to wall driven turbulence production in the Taylor–Couette system with a rotating inner cylinder. Intl J. Numer. Meth. Fluids 38, 207226.CrossRefGoogle Scholar
Bendat, J. S. & Piersol, A. G. 1971 Random Data: Analysis and Measurement Procedures. Wiley-Interscience.Google Scholar
Bilson, M. 2004 Momentum and scalar transport in the straight pipe and rotating cylinder – a comparison of transport mechanisms. PhD thesis, Division of Mechanical Engineering, The University of Queensland.Google Scholar
Bilson, M. & Bremhorst, K. 2003 Comparison of turbulent scalar transport in a pipe and a rotating cyliner. Intl Conf. of CFD in the Minerals and Process Industries, pp. 493–498.Google Scholar
Bilson, M. & Bremhorst, K. 2004 DNS study of the instantaneous and mean scalar transport in turbulent Taylor–Couette flow. 11th Intl Symp. on Flow Visualization.Google Scholar
Bradshaw, P. 1971 An Introduction to Turbulence and its Measurement. Pergamon.Google Scholar
Coles, D. 1965 Transition in circular Couette flow. J. Fluid Mech. 21, 385425.Google Scholar
DiPrima, R. C. & Swinney, H. L. 1981 Hydrodynamic Instabilities and the Transition to Turbulence, chap. 6, p. 139. Springer.Google Scholar
Dukowicz, J. K. & Dvinsky, A. S. 1992 Approximate factorization as a high order splitting for the implicit incompressible flow equations. J. Comput. Phys. 102, 336347.Google Scholar
Eggels, J. M., Unger, F., Weiss, M. H., Westerweel, J., Adrian, R. J., Friedrich, R. & Nieuwstadt, F. T. M. 1994 Fully developed turbulent pipe flow: a comparision between direct numerical simulation and experiment. J. Fluid Mech. 268, 175209.Google Scholar
Fenstermacher, P. R., Swinney, H. L. & Gollub, J. P. 1979 Dynamical instabilities and the transition to chaotic Taylor vortex flow. J. Fluid Mech. 94, 103128.CrossRefGoogle Scholar
Ferziger, J. H. & Peric, M. 2002 Computational Methods for Fluid Dynamics, 3rd edn. Springer.CrossRefGoogle Scholar
Gabe, D. R. 1974 The rotating cylinder electrode. J. Appl. Electrochem. 4, 91108.CrossRefGoogle Scholar
Gabe, D. R. & Walsh, F. C. 1983 The rotating cylinder electrode: a review of development. J. Appl. Electrochem. 13, 322.Google Scholar
Gabe, D. R., Wilcox, G. D., Gonzales-Garcia, J. & Walsh, F. C. 1998 The rotating cylindrical electrode: its continued development and application. J. Appl. Electrochem. 28, 759780.Google Scholar
Gorman, M. & Swinney, H. L. 1982 Spatial and temporal characteristics of modulated waves in the circular Couette system. J. Fluid Mech. 117, 123142.Google Scholar
Harlow, F. H. & Welch, J. E 1965 Numerical calculation of time-dependent viscous incompressible flow of fluid with free surface. Phys. Fluids 8, 21822189.CrossRefGoogle Scholar
Haut, B., BenAmor, H. Amor, H., Coulon, L., Jacquet, A. & Halloin, V. 2003 Hydrodynamics and mass transfer in a Couette–Taylor bioreactor for the culture of animal cells. Chem. Engng Sci. 58, 777784.Google Scholar
Hockney, R. W. 1965 A fast direct solution of Poisson's equation using Fourier analysis. J. Assoc. Comput. Machinery 12, 95113.Google Scholar
Hoffman, J. 1982 J. Comput. Phys. 46, 469474.Google Scholar
Kataoka, K., Doi, H. & Komai, T. 1977 Heat/mass transfer in Taylor vortex flow with constant axial flow rates. Intl J. Heat Mass Transfer 20, 5763.Google Scholar
Kawamura, H., Ohsaka, K., Abe, H. 1998 DNS of turbulent heat transfer in channel flow with low to medium-high Prandtl number fluid. Intl J. Heat Fluid Flow 19, 482491.CrossRefGoogle Scholar
Kobayashi, M., Maekawa, H., Takano, T. & Yamada, Y. 1990 An experimental study on turbulent Taylor vortex flow between concentric cylinders. JSME Intl J. II 33, 436445.Google Scholar
Kobayashi, M., Matsubara, K. & Maekawa, H. 1999 Prediction of the turbulent Taylor vortex flow between concentric rotating cylinders. Intl J. Transport Phenomena 1, 245254.Google Scholar
Koschmieder, E. L. 1979 Wavelength measurements in turbulent Taylor vortex flow. J. Fluid Mech. 93, 515527.CrossRefGoogle Scholar
Kravchenko, A. G & Moin, P. 1997 On the effect of numerical errors in large-eddy simulations of turbulent flows. J. Comput. Phys. 131, 310322.CrossRefGoogle Scholar
Lathrop, D. P., Fineberg, J. & Swinney, H. L. 1992 Turbulent flow between concentric rotating cylinders at large Reynolds number. Phys. Rev. Lett. 68, 15151518.Google Scholar
Loulou, P., Moser, R. D., Mansour, N. N. & Cantwell, B. J. 1997 Direct numerical simulation of incompressible pipe flow using a B-spline spectral method. NASA TM 110436.Google Scholar
Moin, P. & Mahesh, K. 1998 Direct numerical simulation: a tool in turbulence research. Annu. Rev. Fluid Mech. 30, 539578.Google Scholar
Moser, R. & Moin, P. 1987 The effects of curvature in wall-bounded turbulent flows. J. Fluid Mech. 175, 479510.Google Scholar
Parker, J. & Merati, P. 1996 An investigation of turbulent Taylor–Couette flow using laser Doppler velocimetry in a refractive index matched facility. Trans. ASME I: J. Fluids Engng 118, 810818.Google Scholar
Perot, J. B. 1993 An analysis of the fractional step method. J. Comput. Phys. 108, 5158.Google Scholar
Rudman, M. J. & Blackburn, H. M. 1998 Turbulent Taylor–Couette flow. 13th Australasian Fluid Mech. Conf. pp. 163166.Google Scholar
Smith, G. P. & Townsend, A. A. 1982 Turbulent Couette flow between concentric cylinders at large Taylor numbers. J. Fluid Mech. 123, 187217.Google Scholar
Tafti, D. 1996 Comparison of some upwind-biased high-order formulations with a second-order central-difference schmeme for time integration of the incompressible Navier–Stokes equations. Comput. Fluids 25, 647665.CrossRefGoogle Scholar
Tagg, R. 1994 The Couette–Taylor problem. Nonlin. Sci. Today 4, 223.Google Scholar
Takeda, Y. 1999 Quasi-periodic state and transition to turbulence in a rotating Couette system. J. Fluid Mech. 389, 8199.CrossRefGoogle Scholar
Taylor, G. I. 1923 Stability of a viscous fluid contained between two rotating cylinders. Phil. Trans. R. Soc. Lond. 223, 289343.Google Scholar
Taylor, G. I. 1935 Distribution of velocity and temperature between concentric rotating cylinders. Proc. R. Soc. A 151, 494512.Google Scholar
Vasilyev, O. V. 2000 High order finite difference schemes on non-uniform meshes with good conservation 3 properties. J. Comput. Phys. 157, 746761.CrossRefGoogle Scholar
Wattendorf, F. L. 1935 A study of the effect of curvature on fully developed turbulent flow. Proc. R. Soc. Lond. A 148, 565598.Google Scholar
Wendt, F. 1933 Ingenieur-Archiv. 4, 577.Google Scholar
Wereley, S. T. & Lueptow, R. M. 1994 Azimuthal velocity in supercritical circular Couette flow. Exps. Fluids 18, 19.CrossRefGoogle Scholar
Wilcox, D. 1993 Turbulence Modelling for CFD. DCW Industries.Google Scholar
Wild, P. M., Djilali, N. & Vickers, G. W. 1996 Experimental and computational assessment of windage losses in rotating machinery. Trans. ASME I: J. Fluids Engng 118, 116122.Google Scholar
Yuu, S. & Umekage, T. 1995 Direct numerical simulation of three-dimensional Navier–Stokes equations for turbulent circular Couette flows Re = 1500) and experimental verification. Kagaku Kogaku Ronbunshu 21 (5), 886895 (in Japanese).Google Scholar