2021
DOI: 10.1017/jfm.2021.229
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On the effect of lubrication forces on the collision statistics of cloud droplets in homogeneous isotropic turbulence

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Cited by 7 publications
(22 citation statements)
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“…and could be due to lubrication effects, whose consequences perhaps persist at those large distances. A similar behaviour was also recently reported in Ababaei et al (2021) where lubrication effects and long-range many-body interactions were found to decrease the RDF and modify the relative velocity scaling for r/D < 3.5 at low but finite Stokes numbers. This scaling is compared to the numerical integration of (3.7) in figure 5(a) and provides a good agreement for all flow conditions.…”
Section: Radial Relative Velocity Variance and Finite-size Effectssupporting
confidence: 88%
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“…and could be due to lubrication effects, whose consequences perhaps persist at those large distances. A similar behaviour was also recently reported in Ababaei et al (2021) where lubrication effects and long-range many-body interactions were found to decrease the RDF and modify the relative velocity scaling for r/D < 3.5 at low but finite Stokes numbers. This scaling is compared to the numerical integration of (3.7) in figure 5(a) and provides a good agreement for all flow conditions.…”
Section: Radial Relative Velocity Variance and Finite-size Effectssupporting
confidence: 88%
“…The time scale associated with physical collisions of real particles (i.e. D ≈ 0.116 mm in the present study) is much smaller than the temporal resolution of the experimental set-up (Yang & Hunt 2006;Monchaux et al 2010;Marshall 2011;Ababaei et al 2021). Instead, we consider analogous particles (Hill, Nowell & Jumars 1992), which are fluid volumes centred on real particles with effective diameters larger than D. The conditional concentration detection was thus based on the effective particle diameters d (which are adjustable) to obtain a relationship between conditional concentration kernels and thereby analogous collision kernels versus effective particle diameter.…”
Section: Conditional Concentration Kernel Measurementsmentioning
confidence: 79%
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