Issue |
MATEC Web Conf.
Volume 358, 2022
3rd International Symposium on Mechanics, Structures and Materials Science (MSMS 2022)
|
|
---|---|---|
Article Number | 01045 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/matecconf/202235801045 | |
Published online | 19 May 2022 |
Research Progress in Characterization Methods of Anti-corrosion and Wear-resistant Polyurethane Coatings
1 School of Materials and Metallurgy, Inner Mongolia University of Science and Technology, Baotou 014000, China.
2 AECC Beijing Institute of Aeronautical Materials, Beijing 100095, China
Polyurethane is a coating material widely used in the field of anti-corrosion and wear resistance. At present, a lot of research work has been carried out in the research and development of polyurethane materials and process improvement. However, there are few researches on the characterization methods of polyurethane coatings, and suitable characterization methods are selected. Conducive to the improvement and application of materials. This article summarizes the characterization methods of polyurethane coatings from the aspects of morphology, structure, mechanical properties, electrochemical properties and thermodynamic properties. It is found that there is no standardized and unified evaluation standard for the electrochemical characterization methods of polyurethane; polyurethane as a high molecular polymer has a certain sensitivity to the service environment. Humidity and temperature have a great influence on its physical and chemical properties. Conventional characterization methods cannot perform microstructure characterization under the stress state of the material and the service environment. The establishment of standardized and unified electrochemical evaluation standards for polyurethane; the ability to characterize polyurethane under service conditions is an important research direction for improving the characterization method.
Key words: Polyurethane / Coating materials / Characterization methods
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.