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Droplet impact on pillar-arrayed non-wetting surfaces.

Long-Zan Wang1, An Zhou1, Jin-Zhi Zhou1

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Droplet impact dynamics on pillar-arrayed surfaces depend on solid fraction. Lower solid fractions reduce rebound limits and can cause wetting state transitions, necessitating new models for impact velocity prediction.

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Area of Science:

  • Materials Science
  • Fluid Dynamics
  • Surface Science

Background:

  • Understanding droplet-surface interactions is crucial for applications like self-cleaning surfaces and microfluidics.
  • Polydimethylsiloxane (PDMS) pillar arrays offer tunable surface properties for studying wetting phenomena.

Purpose of the Study:

  • To investigate the effect of solid fraction in PDMS pillar arrays on droplet impact dynamics.
  • To develop a predictive model for droplet rebound limits based on surface characteristics.
  • To analyze wetting state transitions and their impact on droplet behavior.

Main Methods:

  • Experimental study of droplet impact on PDMS surfaces with varying solid fractions (0.06, 0.20, 0.50).
  • Analysis of droplet rebound, spreading, and retraction using high-speed imaging.
  • Development of a theoretical model incorporating liquid penetration into surface cavities.

Main Results:

  • Complete droplet rebound limits (Weber number) decrease with lower solid fractions.
  • Wetting state transitions (Cassie-Baxter to Wenzel) observed at low solid fractions (0.06) due to liquid penetration.
  • Partial rebound and sticky states observed at high Weber numbers depending on solid fraction.
  • Surface roughness significantly influences droplet contact time.
  • Maximum spreading parameter follows a scaling law of Weber number to the power of 1/4.

Conclusions:

  • Solid fraction is a critical parameter governing droplet impact outcomes on pillar-arrayed surfaces.
  • A novel model accurately predicts upper impact velocity limits by accounting for liquid penetration.
  • Surface design, specifically solid fraction and roughness, can be optimized to control droplet behavior.