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Wetting dynamics on superhydrophilic surfaces prepared by photonic microfolding
Thomas Bahners1, Lutz Prager, Jochen S Gutmann
1Deutsches Textilforschungszentrum Nord-West gGmbH (DTNW), Adlerstr. 1, 47798 Krefeld, Germany.
Langmuir : the ACS Journal of Surfaces and Colloids
|March 18, 2014
Summary
Researchers studied water droplet wetting dynamics on microrough, superhydrophilic acrylate surfaces. They found that while McHale
Area of Science:
- Surface Science
- Wettability Studies
- Polymer Coatings
Background:
- Understanding wetting dynamics is crucial for applications involving liquid-surface interactions.
- Superhydrophilic surfaces exhibit unique spreading behaviors influenced by surface roughness.
- Existing models like Tanner's law and McHale's model attempt to describe wetting dynamics.
Purpose of the Study:
- To investigate the wetting dynamics of water droplets on microrough, superhydrophilic acrylate surfaces.
- To compare experimental results with existing theoretical models for wetting dynamics.
- To analyze the initial spreading phase and its deviation from established models.
Main Methods:
- Fabrication of microrough, superhydrophilic acrylate surfaces on poly(ethyleneterephthalate) (PET) films.
- Optical recording of water droplet spreading dynamics through transparent acrylate layers.
- Analysis of the dynamic spreading radius (rc(t)) and comparison with Tanner's law and McHale's model.
Main Results:
- Experimental wetting dynamics generally agreed with McHale's model for superhydrophilic surfaces.
- A significant deviation was observed in the initial spreading phase (t < 1 s).
- The initial spreading behavior aligns with the Cazabat and Cohen Stuart theory for rough surfaces.
Conclusions:
- McHale's model provides a good approximation for wetting dynamics on these surfaces, but requires refinement for the initial phase.
- The initial spreading on microrough surfaces is distinct and can be described by a different power-law regime.
- This study highlights the importance of considering surface roughness in wetting dynamic models, especially at early stages.

