Journal
ACS APPLIED MATERIALS & INTERFACES
Volume 8, Issue 21, Pages 13615-13623Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsami.6b03414
Keywords
self-cleaning; ultra-durable; ultrahydrophobic; sprayable interpenetrated polymer network; robust hierarchical nanostructures
Funding
- ARC [DP150101939]
- Australian National University
- NHMRC [APP1050684]
- Australian Microscopy and Microanalysis Research Facility (AMMRF)
Ask authors/readers for more resources
In nature, durable self-cleaning surfaces such as the Lotus leaf rely on the multiscale architecture and cohesive regenerative properties of organic tissue. Real-world impact of synthetic replicas has been limited by the poor mechanical and chemical stability, of the ultrafine hierarchical textures required for attaining a highly dewetting superhydrophobic state. Here, we present the low-cost synthesis of large-scale ultradurable superhydrophobic coatings by rapid template-free micronano texturing of interpenetrated polymer networks (IPNs). A highly transparent texture of soft yielding marshmallow-like pillars with an ultralow surface energy is obtained by sequential spraying of a novel polyurethane-acrylic colloidal suspension and a superhydrophobic nanoparticle solution. The resulting coatings demonstrate outstanding antiabrasion resistance, maintaining superhydrophobic water contact angles and a pristine lotus effect with sliding angles of below 10 degrees for up to 120 continuous abrasion cycles. Furthermore, they also have excellent chemical-and photostability, preserving the initial performance upon more than 50 h exposure to intense UVC light (254 nm, 3.3 mW cm(-2)), 24 h of oil contamination, and highly acidic conditions (1 M HC1). This sprayable polyurethane-acrylic colloidal-suspension and surface texture provide a rapid and low-cost approach for the substrate-independent fabrication of ultradurable transparent self-cleaning surfaces with superior abrasion, chemical, and UV-resistance.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available