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Capillary driven fragmentation of large gas bubbles in turbulence

Aliénor Rivière1, Daniel J. Ruth2, Wouter Mostert3, Luc Deike2,4, and Stéphane Perrard1,5,*

  • 1Physique et Mécanique des Milieux Hétérogènes, CNRS, ESPCI Paris, University PSL, Paris 75005, France
  • 2Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, New Jersey 08544, USA
  • 3Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, United Kingdom
  • 4High Meadows Environmental Institute, Princeton University, Princeton, New Jersey 08544, USA
  • 5LPENS, Département de Physique, Ecole Normale Supérieure, PSL University, 75005 Paris, France

  • *stephane.perrard@espci.fr

Phys. Rev. Fluids 7, 083602 – Published 30 August, 2022

DOI: https://doi.org/10.1103/PhysRevFluids.7.083602

Abstract

The bubble size distribution below a breaking wave is of paramount interest when quantifying mass exchanges between the atmosphere and oceans. Mass fluxes at the interface are driven by bubbles that are small compared with the Hinze scale dh, the critical size below which bubbles are stable, even though individually these are negligible in volume. Combining experimental and numerical approaches, we report a power-law scaling d3/2 for the small bubble size distribution, for sufficiently large separation of scales between the injection size and the Hinze scale. From an analysis of individual bubble breakups, we show that small bubbles are generated by capillary effects, and that their breakup time scales as d3/2, which physically explains the sub-Hinze scaling observed.

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References (46)

  1. F. R. Keeling, On the role of large bubbles in air-sea gas exchange and supersaturation in the ocean, J. Mar. Res. 51, 237 (1993).
  2. L. Deike and W. K. Melville, Gas transfer by breaking waves, Geophys. Res. Lett. 45, 10 (2018).
  3. B. G. Reichl and L. Deike, Contribution of sea-state dependent bubbles to air-sea carbon dioxide fluxes, Geophys. Res. Lett. 47, e2020GL087267 (2020).
  4. T. G. Leighton, D. G. H. Coles, M. Srokosz, P. R. White, and D. K. Woolf, Asymmetric transfer of Co2 across a broken sea surface, Sci. Rep. 8, 1 (2018).
  5. D. Atamanchuk, J. Koelling, U. Send, and D. W. R. Wallace, Rapid transfer of oxygen to the deep ocean mediated by bubbles, Nat. Geosci. 13, 232 (2020).
  6. E. D. Spiel and G. De Leeuw, Formation and production of sea spray aerosol, J. Aerosol Sci. 27, S65 (1996).
  7. E. Ghabache, A. Antkowiak, C. Josserand, and T. Séon, On the physics of fizziness: How bubble bursting controls droplets ejection, Phys. Fluids 26, 121701 (2014).
  8. L. Deike, E. Ghabache, G. Liger-Belair, A. K. Das, S. Zaleski, S. Popinet, and T. Séon, Dynamics of jets produced by bursting bubbles, Phys. Rev. Fluids 3, 013603 (2018).
  9. A. Berny, L. Deike, T. Séon, and S. Popinet, Role of all jet drops in mass transfer from bursting bubbles, Phys. Rev. Fluids 5, 033605 (2020).
  10. S. Galinat, O. Masbernat, P. Guiraud, C. Dalmazzone, C. Noı et al., Drop break-up in turbulent pipe flow downstream of a restriction, Chem. Eng. Sci. 60, 6511 (2005).
  11. B. Gopalan and J. Katz, Turbulent Shearing of Crude Oil Mixed with Dispersants Generates Long Microthreads and Microdroplets, Phys. Rev. Lett. 104, 054501 (2010).
  12. N. Afshar-Mohajer, C. Li, A. M. Rule, J. Katz, and K. Koehler, A laboratory study of particulate and gaseous emissions from crude oil and crude oil-dispersant contaminated seawater due to breaking waves, Atmos. Environ. 179, 177 (2018).
  13. F. Risso and J. Fabre, Oscillations and breakup of a bubble immersed in a turbulent field, J. Fluid Mech. 372, 323 (1998).
  14. C. Martínez-bazán, J. L. Montanes, and J. C. Lasheras, On the breakup of an air bubble injected into a fully developed turbulent flow. Part 1. Breakup frequency, J. Fluid Mech. 401, 157 (1999).
  15. B. Lalanne, O. Masbernat, and F. Risso, A model for drop and bubble breakup frequency based on turbulence spectra, AIChE J. 65, 347 (2019).
  16. Y. Qi, M. M. A. Ullah, and R. Ni, Towards a model of bubble breakup in turbulence through experimental constraints, Int. J. Multiphase Flow 132, 103397 (2020).
  17. M. R. Loewen, M. A. O'Dor, and M. G. Skafel, Bubbles entrained by mechanically generated breaking waves, J. Geophys. Res. 101, 20759 (1996).
  18. G. B. Deane and M. D. Stokes, Scale dependence of bubble creation mechanisms in breaking waves, Nature (London) 418, 839 (2002).
  19. G. Rojas and M. R. Loewen, Fiber-optic probe measurements of void fraction and bubble size distributions beneath breaking waves, Exp. Fluids 43, 895 (2007).
  20. C. E. Blenkinsopp and J. R. Chaplin, Bubble size measurements in breaking waves using optical fiber phase detection probes, IEEE J. Oceanic Eng. 35, 388 (2010).
  21. L. Deike, W. K. Melville, and S. Popinet, Air entrainment and bubble statistics in breaking waves, J. Fluid Mech. 801, 91 (2016).
  22. W. Mostert, S. Popinet, and L. Deike, High-resolution direct simulation of deep water breaking waves: Transition to turbulence, bubbles and droplets production, J. Fluid Mech. 942, A27 (2022).
  23. W. H. R. Chan, P. L. Johnson, P. Moin, and J. Urzay, The turbulent bubble break-up cascade. Part 2. Numerical simulations of breaking waves, J. Fluid Mech. 912, A43 (2021).
  24. C. Garrett, M. Li, and F. Farmer, The connection between bubble size spectra and energy dissipation rates in the upper ocean, J. Phys. Oceanogr. 30, 2163 (2000).
  25. S. B. Pope, Turbulent Flows (Cambridge University Press, Cambridge, UK, 2000).
  26. A. N. Kolmogorov, The local structure of turbulence in incompressible viscous fluid for very large Reynolds numbers, Cr Acad. Sci. URSS 30, 301 (1941).
  27. J. O. Hinze, Fundamentals of the hydrodynamic mechanism of splitting in dispersion processes, AIChE J. 1, 289 (1955).
  28. C. Martínez-bazán, J. Rodriguez-Rodriguez, G. Deane, J. L. Montañes, and J. C. Lasheras, Considerations on bubble fragmentation models, J. Fluid Mech. 661, 159 (2010).
  29. Jiří Vejražka, M. Zednıkova, and P. Stanovsky, Experiments on breakup of bubbles in a turbulent flow, AIChE J. 64, 740 (2018).
  30. N. S. Ethier and T. G. Kurtz, Markov Processes: Characterization and Convergence (John Wiley & Sons, New Jersey, 2009), Vol. 282.
  31. D. Ramkrishna, Population Balances. Theory and Application to Particular Systems in Engineering (Academic Press, San Diego, 2000).
  32. Y. Liao and D. Lucas, A literature review of theoretical models for drop and bubble breakup in turbulent dispersions, Chem. Eng. Sci. 64, 3389 (2009).
  33. T. Wang, J. Wang, and Y. Jin, A novel theoretical breakup kernel function for bubbles/droplets in a turbulent flow, Chem. Eng. Sci. 58, 4629 (2003).
  34. E. Villermaux, Fragmentation versus cohesion, J. Fluid Mech. 898, P1 (2020).
  35. D. Ruth, W. Mostert, S. Perrard, and L. Deike, Bubble pinch-off in turbulence, Proc. Natl. Acad. Sci. USA 116, 25412 (2019).
  36. H. Lamb, Hydrodynamics, 6th ed. (Cambridge University Press, Cambridge, UK, 1995).
  37. S. Popinet, An accurate adaptive solver for surface-tension-driven interfacial flows, J. Comput. Phys. 228, 5838 (2009).
  38. S. Popinet, Numerical models of surface tension, Annu. Rev. Fluid Mech. 50, 49 (2018).
  39. A. Rivière, W. Mostert, S. Perrard, and L. Deike, Sub-Hinze scale bubble production in turbulent bubble break-up, J. Fluid Mech. 917, A40 (2021).
  40. C. Rosales and C. Meneveau, Linear forcing in numerical simulations of isotropic turbulence: Physical space implementations and convergence properties, Phys. Fluids 17, 095106 (2005).
  41. S. Perrard, A. Rivière, W. Mostert, and L. Deike, Bubble deformation by a turbulent flow, J. Fluid Mech. 920, A15 (2021).
  42. D. B. Allan, T. Caswell, N. C. Keim, and C. M. van der Wel, soft-matter/trackpy: Trackpy v0.4.2 (2019).
  43. J. C. Crocker and D. G. Grier, Methods of digital video microscopy for colloidal studies, J. Colloid Interface Sci. 179, 298 (1996).
  44. S. Pal, D. Fuster, M. Crialesi-Esposito, and S. Zaleski, Statistics of drops generated from ensembles of randomly corrugated ligaments, arXiv:2106.16192v2.
  45. W. Thielicke and E. Stamhuis, Pivlab–towards user-friendly, affordable and accurate digital particle image velocimetry in matlab, J. Open Res. Softw. 2, e30 (2014).
  46. Doi: 10.5065/D6RX99HX.

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