Literature DB >> 33382573

Solvent-Free Fabrication of Robust Superhydrophobic Powder Coatings.

Jinbao Huang1, Marshall Yang1, Hui Zhang1, Jesse Zhu1.   

Abstract

Superhydrophobicity originating from the "lotus effect" enables novel applications such as self-cleaning, anti-fouling, anti-icing, anti-corrosion, and oil-water separation. However, their real-world applications are hindered by some main shortcomings, especially the organic solvent problem, complex chemical modification of nanoparticles, and poor mechanical stability of obtained surfaces. Here, we report for the first time the solvent-free, chemical modification-free, and mechanically, chemically, and UV robust superhydrophobic powder coatings. The coatings were fabricated by adding commercially available polytetrafluoroethylene (PTFE) particles into powder coatings and by following the regular powder-coating processing route. The formation of such superhydrophobic surfaces was attributed to PTFE particles, which hindered the microscale leveling of powder coatings during curing. Through adjusting the dosage of PTFE, the hydrophobicity of obtained coatings can be tuned in a large range (water contact angle from 92 to 162°). The superhydrophobic coatings exhibited remarkable mechanical robustness against abrasion because of the unique hierarchical micro/nanoscale roughness and low surface energy throughout the coating and the solid lubrication effect of PTFE particles. The coatings also have robustness against chemical corrosion and UV irradiation owing to high bonding energy and chemical inertness of PTFE. Moreover, the coatings show attractive performances including self-cleaning, anti-rain, anti-snow, and anti-icing. With these multifaceted features, such superhydrophobic coatings are promising for outdoor applications. This study also contributes to the preparation of robust superhydrophobic surfaces in an environmentally friendly way.

Entities:  

Keywords:  UV; chemically; mechanically; multifunctional; powder coatings; robust; solvent-free; superhydrophobic

Year:  2020        PMID: 33382573     DOI: 10.1021/acsami.0c16582

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  2 in total

1.  Day-ahead electricity price forecasting using WPT, VMI, LSSVM-based self adaptive fuzzy kernel and modified HBMO algorithm.

Authors:  Rahmad Syah; Mohammad Rezaei; Marischa Elveny; Meysam Majidi Nezhad; Dadan Ramdan; Mehdi Nesaht; Afshin Davarpanah
Journal:  Sci Rep       Date:  2021-08-30       Impact factor: 4.379

Review 2.  Recent Advances in Multifunctional Mechanical-Chemical Superhydrophobic Materials.

Authors:  Qinghua Luo; Jiao Peng; Xiaoyu Chen; Hui Zhang; Xia Deng; Shiwei Jin; Hai Zhu
Journal:  Front Bioeng Biotechnol       Date:  2022-07-13
  2 in total

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