Analysis reveals that Weber number and liquid layer depth influence droplet bouncing probability, suggesting potential applications in fluid dynamics.
While droplet impingement has been extensively researched, the resultant bouncing probability is yet to be quantified. We derive a model capturing the probability of a drop to bounce on a liquid surface, obtaining a dependence on four ratios: inertia to capillarity (Weber number, We), inertia to viscosity (Reynolds number, Red), inertia-capillarity to viscosity (Laplace number, Laa), and drop radius to liquid layer depth. Our theory is backed by laboratory experiments, with maximal bouncing at We≈1, Red≳1, radius–depth ratios of ≈1/5, and Laa−1/4>0.01. As Laa−1/4 increases, the probability increases in a sigmoidal manner.
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Frog et al. (2025) studied this question.
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