Self-Healing Coatings for Corrosion Inhibition of Metals
- Akihiro Yabuki
Abstract
Anti-corrosion protective coatings have been widely applied as a surface treatment to prevent corrosion ofvarious metallic materials, such as aluminum alloys, magnesium alloys, steel and zinc-coated steel, which areused in automobile parts, building structures, home appliances, etc. One of the most important characteristics ofthese coatings is the ability to self-heal. If a self-healing coating suffers mechanical damage and corrosivespecies in the environment begin to degrade the bare metal surface, the damaged surface is automaticallyrepaired by a chemical component of the coating. Chromate conversion coatings have self-healing properties.However, environmental concerns have necessitated the reduction and discontinuation of chromate-basedprotective coatings in recent years. This paper describes two recently developed self-healing coatings — afluorine polymer coating with metal particles and a coating comprised of particles and an organic healing agent.A fluorine polymer coating has self-healing properties, which are improved by the addition of metal particles. Aself-healing coating that uses particles and an organic healing agent has also been developed.- Full Text: PDF
- DOI:10.5539/mas.v9n7p214
This work is licensed under a Creative Commons Attribution 4.0 License.
Journal Metrics
(The data was calculated based on Google Scholar Citations)
h5-index (July 2022): N/A
h5-median(July 2022): N/A
Index
- Aerospace Database
- American International Standards Institute (AISI)
- BASE (Bielefeld Academic Search Engine)
- CAB Abstracts
- CiteFactor
- CNKI Scholar
- Elektronische Zeitschriftenbibliothek (EZB)
- Excellence in Research for Australia (ERA)
- JournalGuide
- JournalSeek
- LOCKSS
- MIAR
- NewJour
- Norwegian Centre for Research Data (NSD)
- Open J-Gate
- Polska Bibliografia Naukowa
- ResearchGate
- SHERPA/RoMEO
- Standard Periodical Directory
- Ulrich's
- Universe Digital Library
- WorldCat
- ZbMATH
Contact
- Sunny LeeEditorial Assistant
- mas@ccsenet.org