Aerosol Research
Aerosol Research
Aerosol Research
Articles | Volume 4, issue 1
Articles | Volume 4, issue 1
https://doi.org/10.5194/ar-4-211-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ar-4-211-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 4, issue 1
Research article
 | 
11 Jun 2026
Research article |  | 11 Jun 2026

Numerical study of the collection of aerosol particles by falling deformable drops

Thibaut Ménard, Emmanuel Reyes, Wojciech Aniszewski, Pascal Lemaitre, and Emmanuel Belut

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Cited articles

AIAA: Guide for the Verification and Validation of Computational Fluid Dynamics Simulations (AIAA G-077-1998 (2002)), American Institute of Aeronautics and Astronautics, Inc., https://doi.org/10.1016/S0376-0421(02)00005-2, 1998. a
Aniszewski, W.: Improvements, Testing and Development of the ADM-τ Sub-grid Surface Tension Model for two-phase LES, J. Comput. Phys., 327, 389–415, 2016. a
Aniszewski, W., Ménard, T., and Marek, M.: Volume of Fluid (VOF) type advection methods in two-phase flow: A comparative study, Comput. Fluids, 97, 52–73, https://doi.org/10.1016/j.compfluid.2014.03.027, 2014. a
Balla, M., Kumar Tripathi, M., and Sahu, K. C.: Shape oscillations of a nonspherical water droplet, Phys. Rev. E, 99, 023107, https://doi.org/10.1103/PhysRevE.99.023107, 2019. a
Beard, K.: Terminal Velocity and Shape of Cloud and Precipitation Drops Aloft, J. Atmos. Sci., 33, 851–864, 1976. a, b, c, d, e, f, g, h, i, j, k
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This study uses advanced computer simulations to explore how falling water drops remove airborne particles. It shows that, when drops deform and oscillate, their motion strongly affects how efficiently aerosols are captured. The model accurately predicts drop speed and shape, but capture rates can differ from experiments by up to an order of magnitude. These gaps likely stem from missing physical effects (evaporation), uncertainties in aerosol measurements, and numerical inaccuracies.
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