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Numerical simulations of mass transfer in turbulent pipe flow at high schmidt numbers

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Abstract

Numerical simulations for the wall mass transfer in a turbulent pipe flow were performed at Reynolds numbers (Re) of 40,000, 70,000 and 100,000 and Schmidt number (Sc) of 100, 200, 400 and 1280. Six versions of Low Reynolds Number (LRN) k-ε turbulence models were evaluated by examining the variation of the turbulent viscosity and diffusivity in the wall-normal direction. The predicted values of the turbulent viscosity and diffusivity from the AKN Low Reynolds Number model closely follow the cubic dependence in the near-wall region and found suitable for mass transfer simulations at high Schmidt numbers. The near-wall region was resolved down to y+=0.14 for Reynolds number of 100,000, which allowed the mass transfer to be obtained from the near-wall concentration profile. The exponent of the Schmidt number dependence on the Sherwood number was approximately 0.333 and in agreement with existing mass transfer correlations and experimental data for smooth pipe flow. The predicted mass transfer coefficient was in good agreement with pipe flow results and with experimental and numerical mass transfer results that yielded different Schmidt number dependences over the range considered.

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References

  1. Pietralik JM, Schefski CS (2011) Flow and mass transfer in bends under Flow-Accelerated Corrosion Wall Thinning Conditions. J Eng Gas Turbines Power 133(1):012902: 1–7

    Article  Google Scholar 

  2. Schwertfirm F, Manhart M (2007) DNS of passive scalar transport in turbulent channel flow at hight Schmidt number. Int J Heat Fluid Transfer 28:1204–1214

    Article  Google Scholar 

  3. Mitrovic BM, Le PM, Papavassiliou DV (2004) On the Prandtl or Schmidt number dependence of the turbulent heat or mass transfer coefficient. Chem Eng Sci 59:543–555

    Article  Google Scholar 

  4. Calmet I, Magnaudet J (1997) Large-eddy simulation of high-Schmidt number mass transfer in a turbulent channel flow. Phys Fluid 9(2):438–455

    Article  Google Scholar 

  5. Dong Y, Lu X, Zhuang L (2003) Large eddy simulation of turbulent channel flow with mass transfer at high-Schmidt numbers. Int J Heat Mass Transfer 46:1529–1539

    Article  MATH  Google Scholar 

  6. Magnaudet J, Calmet I (2006) Turbulent mass transfer through a flat shear-free surface. J Fluid Mechanics 553:155–185

    Article  MATH  Google Scholar 

  7. Jones WP, Launder BE (1973) The calculation of low-Reynolds-number phenomena with a two-equation model of turbulence. Int J Heat and Mass Transfer 16:1119–1130

    Article  Google Scholar 

  8. Nesic S, Postlethwaite J, Bergstrom DJ (1992) Calculation of wall-mass transfer rates in separated aqueous flow using a Low-Re k-ε model. Int J Heat Mass Transfer 35(8):1977–1985

    Article  Google Scholar 

  9. Lam CKG, Bremhorst K (1981) A modified form of the k-ε model for predicting wall turbulence. ASME J Fluids Eng 103:456–460

    Article  Google Scholar 

  10. Wang Y, Postlethwaite J, Bergstrom DJ (1996) Modeling mass transfer entrance lengths in turbulent pipe-flow with applications to small cathodes for measuring local mass transfer rates. J Appl Electrochem 26:471–479

    Article  Google Scholar 

  11. Wang Y, Postlethwaite J (1997) The application of low Reynolds number k-e turbulence model to corrosion modelling in the mass transfer entrance region. Corros Sci 39(1):1265–1283

    Article  Google Scholar 

  12. Abe K, Kondoh T, Nagano Y (1994) A new turbulence model for predicting fluid flow and heat transfer in separating and reattaching flows. Int J Heat Mass Transfer 37(1):139–151

    Article  MATH  Google Scholar 

  13. Bergstrom DJ, Bender T, Adamopoulos G, Postlethwaite J (1998) Numerical Prediction of Wall Mass transfer rates in turbulent Flow through a 90 Two-Dimensional Bend. Can J Chem Eng 76:728–737

    Article  Google Scholar 

  14. Wang J, Shirazi SA, Shadley JR, Rybicki EF, Dayalan E (1998) A correlation for mass transfer coefficients in elbows. 1998 NACE International Conference. March 22–27, San Diego Ca

  15. Wang J, Shirazi SA (2001) A CFD based correlation for mass transfer coefficient in elbows. Int J Heat Mass Transfer 44:1817–1822

    Article  MATH  Google Scholar 

  16. Launder BE, Sharma BI (1974) Application of the energy-dissipation model of turbulence to the calculation of flow near a spinning disc. Lett Heat Mass Trans 131–138

  17. Pietralik JM, Smith BAW (2006) CFD Application To Flow-Accelerated Corrosion In Feeder Bends. Proceedings of International Conference on Nuclear Engineering. July 17–20, Miami, Florida, USA

  18. El-Gammal M, Mazhar H, Cotton JS, Shefski C, Pietralik J, Ching CY (2010) The hydrodynamic effects of single-phase flow on flow accelerated corrosion in a 90-degree elbow. Nucl Eng Des 240:1589–1598

    Article  Google Scholar 

  19. El-Gammal M, Ahmed WH, Ching CY (2012) Investigation of wall mass transfer characteristics downstream of an orifice. Nucl Eng Des 242:353–360

    Article  Google Scholar 

  20. Suga K, Craft TJ, Iacovides H (2006) An analytical wall-function for turbulent flows and heat transfer over rough walls. Int J Heat and Fluid Flow 27:852–866

    Article  Google Scholar 

  21. Suga K (2007) Computation of high prandtl number turbulent thermal fields by the analytical wall-function. Int J Heat Mass Transfer 50:4967–4974

    Article  MATH  Google Scholar 

  22. Suga K, Kubo M (2010) Modeling turbulent high Schmidt number mass transfer across undeformable gas-liquid interfaces. Int J Heat and Mass Transfer 53:2989–2995

    Article  MATH  Google Scholar 

  23. Berger FP, Hau KFFL (1977) Mass transfer in turbulent pipe flow measured by the electrochemical method. Int J Heat Mass Transfer 20:1185–1194

    Article  Google Scholar 

  24. Postlethwaite J, Lotz U (1988) Mass transfer at erosion-corrosion roughened surfaces. Can J Chem Eng 66(1):75–78

    Article  Google Scholar 

  25. Shaw DA, Hanratty TJ (1977) Turbulent mass transfer rates to a wall for large Schmidt numbers. AIChE J 23(1):28–37

    Article  Google Scholar 

  26. Na Y, Papavassiliou DV, Hanratty TJ (1999) Use of direct numerical simulation to study the effect of prandtl number on temperature fields. Int J Heat and Fluid Flow 20:187–195

    Article  Google Scholar 

  27. Hasegawa Y, Kasagi N (2009) Low-pass filtering effects of viscous sublayer on high Schmidt number mass transfer close to a solid wall. Int J Heat Fluid Transfer 30:525–533

    Article  Google Scholar 

  28. Patel VC, Rodi W, Scheuerer G (1985) Turbulence models for near-wall and low Reynolds number flows: a review. AIAA J 23(9):1308–1319

    Article  MathSciNet  Google Scholar 

  29. Kays WM (1994) Turbulent prandtl number - where are we? J Heat Transfer 116:284–295

    Article  Google Scholar 

  30. Weigand B, Ferguson JR, Crawford ME (1997) An extended Kays and Crawford turbulent prandtl number model. Int J Heat Mass Transfer 40(17):4191–4196

    Article  Google Scholar 

  31. Koeltzsch K (2000) The height dependence of the turbulent Schmidt number within the boundary layer. Atmos Environ 34:1147–1151

    Article  Google Scholar 

  32. Tominaga Y, Stathopoulos T (2007) Turbulent Schmidt numbers for CFD analysis with various types of flowfield. Atmos Environ 41:8091–8099

    Article  Google Scholar 

  33. Antonia RA, Kim J (1991) Turbulent prandtl number in the near-wall region of a turbulent channel flow. Int J Heat Mass Transfer 34(7):1905–1908

    Article  Google Scholar 

  34. van Reeuwijk M, Lari KS (2012) Asymptotic solutions for turbulent mass transfer at high Schmidt number. Proc Royal Soc A 468:1676–1695

  35. van Reeuwijk M, Hadziabdic M (2015) Modelling high Schmidt number turbulent mass transfer. Int J Heat and Fluid Flow 51:42–49

    Article  Google Scholar 

  36. Wilkin SJ, Oates HS, Coney M (1983) Mass transfer on straight pipes and 90° bends measured by the dissolution of plaster (1st Edition). Central Electricity Research Laboratories Report. TPRD/L/2469/N83

  37. Wang D, Ewing D, Ching CY (2017) The effect of naturally developing roughness on the mass transfer in pipes under different Reynolds numbers. J Heat Transfer 139:102005

    Article  Google Scholar 

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Correspondence to C. Y. Ching.

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Chen, J., Wang, D., Ewing, D. et al. Numerical simulations of mass transfer in turbulent pipe flow at high schmidt numbers. Heat Mass Transfer 59, 1333–1341 (2023). https://doi.org/10.1007/s00231-022-03340-w

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