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Binary Water Droplet Impact Dynamics on Flat and Micropillared Hydrophobic Substrates
Mukesh Kumar Yadav1, Nagesh D Patil1,2, Prashant R Waghmare3
1Department of Mechanical Engineering, Indian Institute of Technology Bhilai, Bhilai 491002, India.
Langmuir : the ACS Journal of Surfaces and Colloids
|February 19, 2026
Summary
This study explores binary droplet impact on hydrophobic surfaces, revealing that micropillar structures enhance droplet lift-off compared to flat surfaces. Surface properties and impact velocity significantly influence droplet interaction outcomes.
Area of Science:
- Fluid Dynamics
- Surface Science
- Materials Science
Background:
- Understanding droplet impact dynamics is crucial for various applications.
- Surface wettability and morphology significantly influence droplet behavior.
- The Cassie-Baxter and Wenzel states describe droplet interactions with textured surfaces.
Purpose of the Study:
- To experimentally investigate binary droplet impact dynamics on flat and micropillared hydrophobic surfaces.
- To analyze the influence of surface wettability and impact velocity (Weber number) on droplet interaction regimes.
- To develop energy-based models and empirical correlations for droplet spreading and height.
Main Methods:
- Experimental investigation of binary droplet impact on polydimethylsiloxane (PDMS) substrates with varying solid fractions.
- Utilizing high-speed visualization to capture transient droplet evolution during vertical head-on collisions.
- Employing energy-based analysis to model droplet spreading ratio and axial height.
Main Results:
- Micropillared substrates increase droplet lift-off probability compared to flat surfaces.
- Observed interaction regimes include no lift-off, lift-off, partial lift-off, direct coalescence, and conglutination with breakup.
- In the Cassie-Baxter state, maximum droplet height is governed by Weber number, not solid fraction.
Conclusions:
- Surface morphology and impact conditions dictate binary droplet interaction outcomes.
- Simplified empirical correlations were proposed for droplet spreading and height prediction.
- Findings can guide surface design for applications in spray cooling, self-cleaning, and energy harvesting.

