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Improvement of Prandtl mixing length theory and application in modeling of turbulent flow in circular tubes

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Abstract

In order to correctly predict tube cross section time-smoothed velocity distribution, friction factor and mass transfer behavior, two models for turbulent flow in circular tubes based on classical Prandtl mixing length theory and a modified mixing length were established. The results show that the modified mixing length includes the introduction of a damping function for the viscous sublayer and the second-order derivative to approximate eddy velocity. The calculated dimensionless time-smoothed velocity from the model based on Prandtl mixing length is much better than the result from the concept of eddy viscosity. The calculated eddy viscosity from the model based on modified mixing length is much better than the result from the model based on the classical Prandtl mixing length theory. And the friction factor calculated from the model based on the modified mixing length agrees well with the reported empirical relationships.

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References

  1. ZHANG Zhao-shun, CUI Gui-xiang, XU Chun-xiao. Theory and modeling of turbulence [M]. Beijing: Tsinghua University Press, 2005.

    Google Scholar 

  2. HE S, JACKSON J D. A study of turbulence under condition of transient flow in a pipe [J]. Journal of Fluid Mechanics, 2000, 408:1–38.

    Article  MathSciNet  Google Scholar 

  3. MORSI Y S M, HOLLAND P G, CLAYTON B R. Prediction of turbulent swirling flows in axisymmetric annuli [J]. Applied Mathematical Modelling, 1996, 19(10): 613–620.

    Article  Google Scholar 

  4. PRIYMAK V G, MIYAZAKI T. Accurate navier-stokes investigation of transitional and turbulent flows in a circular pipe [J]. Journal of Computational Physics, 1998, 142(2): 370–411.

    Article  MathSciNet  Google Scholar 

  5. COTTON M A. Resonant response in periodic turbulent flows: Computations using a k-ɛ eddy viscosity model [J]. Journal of Hydraulic Research, 2007, 45(1): 54–61.

    Article  MathSciNet  Google Scholar 

  6. CHANDESRIS M, SERRE G, SAGAUT P. A macroscopic model for flow in porous media suited for channel, pipe and rod bundle flows [J]. International Journal of Heat and Mass Transfer, 2006, 49(15/16):2739–2750.

    Article  Google Scholar 

  7. CRUZ D O A, PINHO F T. Turbulent pipe flow predictions with a low Reynolds number k-ɛ model for drag reducing fluids [J]. Journal of Non-Newtonian Fluid Mechanics, 2003, 114(2/3): 109–148.

    Article  Google Scholar 

  8. RICE M, HALL J, PADADAKIS G, YIANNESKIS M. Investigation of laminar flow in a stirred vessel at low Reynolds numbers [J]. Chemical Engineering Science, 2006, 61(9): 2762–2770.

    Article  Google Scholar 

  9. FIOFFMAN J, JOHNSON C. A new approach to computational turbulence modeling [J]. Computer Methods in Applied Mechanics and Engineering, 2006, 195(23/24): 2865–2880.

    MathSciNet  MATH  Google Scholar 

  10. IIZUKA S, KONDO H. Large-eddy simulation of turbulent flow over complex terrain using modified static eddy viscosity models [J]. Atmospheric Environment, 2006, 40(5): 925–935.

    Article  Google Scholar 

  11. FRISCH U. Turbulence [M]. London: Cambridge University Press, 1995.

    Book  Google Scholar 

  12. REICHARDT H. Complete representation of a turbulent velocity distribution in smooth tubes [J]. Journal of Applied Mathematics and Mechanics, 1951, 31(7): 208–219.

    Google Scholar 

  13. DJORDJEVIC V D. A higher-order asymptotic theory for fully developed turbulent flow in smooth pipes [J]. Journal of Engineering Mathematics, 1998, 33(3): 237–250.

    Article  MathSciNet  Google Scholar 

  14. BIRD R B, STEWART W E, LIGHTFOOT E N. Transport phenomena [M]. New York: John Wiley & Sons Inc, 2002.

    Book  Google Scholar 

  15. ZYABRIKOV V V, LOITSYANSKII L G. The damping factor in the theory of Prandtl mixing length [J]. Fluid Dynamics, 1987, 22(5):695–701

    Article  Google Scholar 

  16. BRADSHAW P. Turbulence [M]. Heidelberg: Springer-Verlag, 1976.

    Book  Google Scholar 

  17. ABBOTT D E, WALKER J D A, YORK R E. Numerical solution of turbulent boundary layers approaching separation [C]// ROBERT D R. Proceedings of the Fourth International Conference on Numerical Methods in Fluid Dynamics. Heidelberg: Springer-Verlag, 1975: 34–39.

    Chapter  Google Scholar 

  18. HANNA O T, SANDALL O C, MAZET P R. Heat and mass transfer in turbulent flow under conditions of drag reduction [J]. American Institute of Chemical Engineering Journal, 1981, 27(4): 693–697.

    Article  Google Scholar 

  19. LIN C S, MOULTON R W, PUTNAM G L. Mass transfer between solid wall and fluids streams [J]. Industrial Engineering Chemistry, 1953, 45(3): 636–640.

    Article  Google Scholar 

  20. BARENBLATT G I. Scaling, self-similarity, and intermediate asymptotics [M]. London: Cambridge University Press, 1996.

    Book  Google Scholar 

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Correspondence to Ping-le Liu  (刘平乐).

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Foundation item: Project(20736009) supported by the National Natural Science Foundation of China; Project(07JJ6017) supported by the Natural Science Foundation of Hunan Province, China

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Luo, X., Liu, Pl. & Luo, Ha. Improvement of Prandtl mixing length theory and application in modeling of turbulent flow in circular tubes. J. Cent. South Univ. Technol. 15, 774–778 (2008). https://doi.org/10.1007/s11771-008-0143-3

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  • DOI: https://doi.org/10.1007/s11771-008-0143-3

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