Development of self-healing coatings for corrosion protection on metallic structures
Autor: | Alicja Stankiewicz, Michael B Barker |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Materials science
Metallurgy 621.3 Electrical & electronic engineering 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology Condensed Matter Physics 01 natural sciences Atomic and Molecular Physics and Optics 0104 chemical sciences Corrosion TK Electrical engineering. Electronics Nuclear engineering Metal Mechanics of Materials visual_art Self-healing Signal Processing visual_art.visual_art_medium General Materials Science Electrical and Electronic Engineering 0210 nano-technology Civil and Structural Engineering |
ISSN: | 0964-1726 1361-665X |
Popis: | Inspired by biological systems, artificial self-healing materials are designed for repairing local damage caused by external factors. The rapidly expanding field of self-healing systems contains, among others, materials with well-defined surface properties. Undoubtedly, enhancing surface functionalisation, by applying smart coatings, enjoys an extensive interest. The self-healing ability is particularly essential property for corrosion protection strategies, especially when the use of one of the most effective corrosion systems, based on chromium(VI) compounds, is now banned by the current registration, evaluation, authorisation and restriction of chemicals legislation. Self-healing protective coatings are produced using macromolecular compounds, ceramics, metals and composites. Considering the wide range of available materials, the number of potential combinations seems to be unlimited. The self-healing action of such coatings is activated by appropriate stimuli: temperature changes, radiation, pH changes, pressure changes and mechanical action. In this paper, the research and practical implications of the various approaches to achieving self-healing functionality of protective coatings, as well as potential developments in this area, are explored. |
Databáze: | OpenAIRE |
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