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Updated: Aug 5, 2026

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A Microfluidic Approach for the Study of Ice and Clathrate Hydrate Crystallization
Published on: August 18, 2022
3D interfacial visualization of ice on solid substrates: unveiling microinterlocking ice
Navid Mostofi Sarkari1, Laurens Snels1, Susana Garcia Mayo1
1KU Leuven, Department of Materials Engineering (MTM), 3001 Leuven, Belgium.
Journal of Colloid and Interface Science
|July 27, 2026
Summary
In situ freezing X-ray computed tomography (XCT) non-destructively visualized ice anchoring within surface microgrooves. This revealed how ice interlocking, not just surface height, dictates ice adhesion, improving surface design for anti-icing applications.
Area of Science:
- Materials Science
- Surface Science
- Physics
Background:
- Mechanical interlocking of ice within surface roughness is key to ice adhesion.
- Previous 2D or destructive methods limited understanding of the ice-solid interface.
- The hidden interfacial region has remained largely hypothetical.
Purpose of the Study:
- To test the hypothesis that in situ freezing X-ray computed tomography (XCT) can non-destructively resolve the 3D ice-solid interface.
- To gain insight into ice mechanical interlocking at the interface.
- To link interfacial morphology to icing behavior.
Main Methods:
- Utilized in situ freezing X-ray computed tomography (XCT) with a 1.6 μm voxel size.
- Analyzed ice droplets on hydrophilic, femtosecond-laser-textured aluminum substrates (Wenzel state).
- Coupled XCT with wetting, ice adhesion, and confocal profilometry measurements.
Main Results:
- Successfully resolved the 3D structure of ice infiltrated and anchored within microgrooves.
- Demonstrated that interlocked ice volume correlates with functional (volume) roughness parameters.
- Showed conventional height-based roughness parameters (Sa, Ra, Sq, Rq) are insensitive to ice interlocking.
Conclusions:
- In situ freezing XCT provides non-destructive 3D visualization of the ice-solid interface.
- Ice interlocking within surface features significantly influences ice adhesion.
- Functional roughness parameters are more relevant than height-based parameters for predicting ice adhesion.
