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Numerical study of the near-wall vortical structures in particle-laden turbulent flow by a new vortex identification method-Liutex

  • Special Column on the Invited Workshop: New Progress in Vortex Identification and Applications, 3rd International Forum on Aerospace and Aeronautics (Guest Editor Chaoqun Liu)
  • Published:
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Abstract

This study investigates turbulent particle-laden channel flows using direct numerical simulations employing the Eulerian-Lagrangian method. A two-way coupling approach is adopted to explore the mutual interaction between particles and fluid flow. The considered cases include flow with particle Stokes number varying from St = 2 up to St = 100 while maintaining a constant Reynolds number of Reτ = 180 across all cases. A novel vortex identification method, Liutex (Rortex), is employed to assess its efficacy in capturing near-wall turbulent coherent structures and their interactions with particles. The Liutex method provides valuable information on vortex strength and vectors at each location, enabling a detailed examination of the complex interaction between fluid and particulate phases. As widely acknowledged, the interplay between clockwise and counterclockwise vortices in the near-wall region gives rise to low-speed streaks along the wall. These low-speed streaks serve as preferential zones for particle concentration, depending upon the particle Stokes number. It is shown that the Liutex method can capture these vortices and identify the location of low-speed streaks. Additionally, it is observed that the particle Stokes number (size) significantly affects both the strength of these vortices and the streaky structure exhibited by particles. Furthermore, a quantitative analysis of particle behavior in the near-wall region and the formation of elongated particle lines was carried out. This involved examining the average fluid streamwise velocity fluctuations at particle locations, average particle concentration, and the normal velocity of particles for each set of particle Stokes numbers. The investigation reveals the intricate interplay between particles and near-wall structures and the significant influence of particles Stokes number. This study contributes to a deeper understanding of turbulent particle-laden channel flow dynamics.

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References

  1. Fan F. G., Ahmadi G. A sublayer model for turbulent deposition of particles in vertical ducts with smooth and rough surfaces [J]. Journal of Aerosol Science, 1993, 24: 45–64.

    Article  Google Scholar 

  2. Soltani M., Ahmadi G., Ounis H. et al. Direct simulation of charged particle deposition in a turbulent flow [J]. International journal of multiphase flow, 1998, 24: 77–92.

    Article  Google Scholar 

  3. Rousta F., Lessani B., Ahmadi G. Particle dispersion and deposition in wall-bounded turbulent flow [J]. International Journal of Multiphase Flow, 2023, 158: 104307.

    Article  Google Scholar 

  4. Chakraborty P., Balachandar S., Adrian R. J. On the relationships between local vortex identification schemes [J]. Journal of Fluid Mechanics, 2005, 535: 189–214.

    Article  MathSciNet  Google Scholar 

  5. Kolář V. Vortex identification: New requirements and limitations [J]. International Journal of Heat and Fluid Flow, 2007, 28(4): 638–652.

    Article  Google Scholar 

  6. Epps B. Review of vortex identification methods [C]. 55th AIAA Aerospace Sciences Meeting, Dallas, USA, 2017.

  7. Hunt J., Wray A., Moin P. Eddies, streams, and convergence zones in turbulent flows [R]. Proceedings of the Summer Program. Center for Turbulence Research Report CTR-S88, 1988, 193–208.

  8. Chong M. S., Perry A. E., Cantwell B. J. A general classification of three-dimensional flow fields [J]. Physics of Fluids A: Fluid Dynamics, 1990, 2: 765–777.

    Article  MathSciNet  Google Scholar 

  9. Zhou J., Adrian R. J., Balachandar S. et al. Mechanisms for generating coherent packets of hairpin vortices in channel flow [J]. Journal of Fluid Mechanics, 1999, 387: 353–396.

    Article  MathSciNet  Google Scholar 

  10. Liu C., Wang Y., Yang Y. et al. New omega vortex identification method [J]. Science China Physics, Mechanics and Astronomy, 2016, 59(8): 684711.

    Article  Google Scholar 

  11. Soldati A., Marchioli C. Physics and modelling of turbulent particle deposition and entrainment: Review of a systematic study [J]. International Journal of Multiphase Flow, 2009, 35: 827–839.

    Article  Google Scholar 

  12. Rousta F., Lessani B. Near-wall heat transfer of solid particles in particle-laden turbulent flows [J]. International Communications in Heat and Mass Transfer, 2020, 112: 104475.

    Article  Google Scholar 

  13. Rousta F., Lessani B. Direct numerical simulation of turbulent particle-laden flows: Effects of Prandtl and Stokes numbers [J]. International Journal of Heat and Mass Transfer, 2021, 166: 120724.

    Article  Google Scholar 

  14. Rousta F., Lessani B. Numerical study of thermally developing turbulent internal flows [J]. International Journal of Heat and Mass Transfer, 2022, 188: 122623.

    Article  Google Scholar 

  15. Kim J., Moin P., Moser R. Turbulence statistics in fully developed channel flow at low Reynolds number [J]. Journal of Fluid Mechanics, 1987, 177: 133–166.

    Article  Google Scholar 

  16. Tian L., Ahmadi G. Particle deposition in turbulent duct flows-comparisons of different model predictions [J]. Journal of Aerosol Science, 2007, 38(4): 377–397.

    Article  Google Scholar 

  17. Liu C., Yu Y. Mathematical foundation of liutex theory [J]. Journal of Hydrodynamics, 2022, 34(6): 981–993.

    Article  MathSciNet  Google Scholar 

  18. Liu C., Gao Y., Tian S. et al. Rortex-A new vortex vector definition and vorticity tensor and vector decom- positions [J]. Physics of Fluids, 2018, 30(3): 035103.

    Article  Google Scholar 

  19. Wang Y. Q., Gao Y. S., Liu J. M. et al. Explicit formula for the liutex vector and physical meaning of vorticity based on the liutex-shear decomposition [J]. Journal of Hydrodynamics, 2019, 31(3): 464–474.

    Article  Google Scholar 

  20. Kim J., Moin P., Moser R. Turbulence statistics in fully developed channel flow at low Reynolds number [J]. Journal of Fluid Mechanics, 1987, 177: 133–166.

    Article  Google Scholar 

  21. Ounis H., Ahmadi G., McLaughlin J. B. Brownian particle deposition in a directly simu- lated turbulent channel flow [J]. Physics of Fluids A: Fluid Dynamics, 1993, 5: 1427–1432.

    Article  Google Scholar 

  22. Zhang H., Ahmadi G. Aerosol particle transport and deposition in vertical and horizontal turbulent duct flows [J]. Journal of Fluid Mechanics, 2000, 406: 55–80.

    Article  Google Scholar 

  23. Nasr H., Ahmadi G., McLaughlin J. B. A DNS study of effects of particle–particle collisions and two-way coupling on particle deposition and phasic fluctuations [J]. Journal of Fluid Mechanics, 2009, 640: 507–536.

    Article  Google Scholar 

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Acknowledgments

Some of the computing for this project was performed on the ACRES cluster. We would like to thank Clarkson University and the Office of Information Technology for providing computational resources and support that contributed to these research results.

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Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, Clarkson University, Potsdam, NY, USA

    Farid Rousta & Goodarz Ahmadi

  2. Mechanical Engineering and Engineering Science, The University of North Carolina at Charlotte, Charlotte, NC, USA

    Bamdad Lessani

  3. Department of Mathematics, University of Texas at Arlington, Arlington, TX, USA

    Chaoqun Liu

Authors
  1. Farid Rousta
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  2. Goodarz Ahmadi
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  3. Bamdad Lessani
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  4. Chaoqun Liu
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Corresponding author

Correspondence to Farid Rousta.

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Conflict of interest: The authors declare that they have no conflict of interest. Chaoqun Liu is editorial board member for the Journal of Hydrodynamics and was not involved in the editorial review, or the decision to publish this article. All authors declare that there are no other competing interests.

Ethical approval: This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent: Not applicable.

Additional information

Biography: Farid Rousta, Male, Ph. D. Candidate

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Rousta, F., Ahmadi, G., Lessani, B. et al. Numerical study of the near-wall vortical structures in particle-laden turbulent flow by a new vortex identification method-Liutex. J Hydrodyn 36, 53–60 (2024). https://doi.org/10.1007/s42241-024-0008-8

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  • DOI: https://doi.org/10.1007/s42241-024-0008-8

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