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promoted the prompt splash. Interestingly, the textured surface with regular roughness<br />

elements exhibited less prompt splash than with the random roughness [166].<br />

More interestingly, both the roughness height and width of the textured surface<br />

promoted the prompt splash at lower values and began to affect reversely at larger<br />

values. Prompt splash was completely suppressed with a dimensionless roughness<br />

height R ∗ z = 0.036.<br />

The finding that the random roughness enhanced the splash is in accordance with<br />

the empirical correlation from Stow and Hadfield [142]:<br />

Re 0.31 We 0.69 = K crit , (2.10)<br />

where K crit is a roughness dependent threshold value. Mundo et al. proposed the<br />

following splash threshold for random roughness height between R ∗ z<br />

= 0.018 and<br />

1.3 [99],<br />

OhRe 1.25 = We 1/2 Re 1/4 = K crit = 57.7, (2.11)<br />

where the K crit was equal for all the roughnesses. Cossali et al. [34] suggested later<br />

that the applied roughness by Mundo et al. were in an asymptotic regime, where<br />

the K crit of Stow and Hadfield achieved a nearly constant value. These models are<br />

however empirical correlations which base on an average point of view of both the<br />

prompt splash and the corona splash, because these experiments were conducted<br />

at normal atmosphere pressure, where the both types of splash occur. It should<br />

be noted that the substrate condition in the experiment of Mundo et al. could be<br />

very different from the topic of the roughness, because the roughness height was<br />

comparable with the drop size. It is arguable whether it was a rough surface, or<br />

a randomly uneven surface. Furthermore the impact surface was unlikely to be<br />

dry as we found out by repeating the same impact conditions in our experiment:<br />

a drop train impacted on a rotating cylinder, and the cylinder was cleaned by a<br />

rubber wiper.<br />

Rein et al. [119] summarized the available splash thresholds by expressing a<br />

critical Ohnesorge number as a function of the Reynolds number, as Figure 2.9<br />

exhibits. These semi-empirical correlations can be divided into two categories: one<br />

is for the drop impact on smooth surfaces, the other is for drop impacts on rough<br />

or slightly wetted surfaces.<br />

The threshold from Cossali et al. [34] is for drop impacts on a thin liquid film of<br />

80 µm, which was 2.5% of the drop diameter. Hardalupas et al. [47] conducted<br />

2.2. Drop Impact on Dry Surfaces 21

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