Tailoring the Icephobic Performance of Slippery Liquid-Infused Porous Surfaces through the LbL Method.
Araz S AghdamFevzi Çakmak CebeciPublished in: Langmuir : the ACS journal of surfaces and colloids (2020)
There has been increasing interest in recent years in identifying an ice-removal procedure that is low cost and scalable and consumes a negligible amount of energy in order to prevent catastrophic failures in outdoor structures. One of the potential solutions to the structural problems caused by frigid and icy conditions is the use of slippery liquid-infused porous surfaces (SLIPS) to effect passive ice removal using easy, economical, and energy-free means. This work takes advantage of the highly flexible layer-by-layer (LbL) technology to customize and design surfaces that have a high degree of roughness using negatively and positively charged polyelectrolytes and negatively charged silica nanoparticles (NPs). SEM (scanning electron microscopy) images represent the silica nanoparticles deposition on the surface of the thin film. The roughness of these thin films has been demonstrated by AFM (atomic force microscopy) investigation. The main characteristics of these surfaces are their high contact angle and low water contact angle hysteresis, which is achieved by the fluorinated lubricant that is infused in the pores of the films. The ice adhesion strength of the thin films was measured using a home-built normal mode tensile test in an environmental chamber, which confirmed the icephobicity of the surface as having an adhesion strength of less than 5 kPa, implying that this surface is an excellent candidate for passive removal of ice. The thin films were aged for up to 100 days, and the results showed that the thin film could reduce the ice adhesion strength by 65%, even after this period. The ice adhesion strength of the thin film after icing/deicing cycles showed that 80% of the icephobicity of the thin film had been preserved even after 50 cycles.
Keyphrases
- biofilm formation
- atomic force microscopy
- electron microscopy
- high resolution
- low cost
- pseudomonas aeruginosa
- staphylococcus aureus
- candida albicans
- high speed
- escherichia coli
- mental health
- healthcare
- ionic liquid
- risk assessment
- deep learning
- human health
- single molecule
- machine learning
- cystic fibrosis
- particulate matter
- climate change
- tissue engineering
- metal organic framework