4. Jun 2021 | Application Areas
Novel smart self-healing anticorrosion coating
A new generation smart self-healing coating possessing both passive matrix functionality and rapid response to local changes in the environment is of great industrial importance. In the present work, a stimulus responsive smart self -healing anticorrosion coating was developed based on acrylic resin, incorporated with Dendrimer like Mesoporous Silica Nanoparticles (DMSN) loaded inside with 8-hydroxyquinoline inhibitor. FESEM and TEM analysis showed that the dendrimer like mesoporous silica (DMS) nanoparticles synthesised were of spherical and fibrous form with size less than 200 nm. The BET surface area, pore volume and average pore diameter of the nanoparticles were found to be 1322.4 m2 g−1, 1.39 cc/g and 4.2 nm respectively.
Improved and long-term corrosion protection
The corrosion protection performance of the coatings was evaluated via Electrochemical Impedance Spectroscopy (EIS) in 3.5 % NaCl. The acrylic coating with dendrimer like silica nano containers showed improved and long-term corrosion protection than the coating without nano containers. The smart self-healing property of the coating was studied by Scanning Vibrating Electrode Technique (SVET). The SVET showed a smartness activity of DMSN by release of inhibitor triggered by corrosion phenomena in the defect area. Further, to reassert the smartness of the coating, impedance mapping of the surface was carried out at a fixed frequency.
The study has been published in Progress in Organic Coatings, Volume 154, May 2021.
This book brings together all the disciplines involved in the creation and use of corrosion protection coatings for metals. It presents the latest insights into the quality and chemistry of surfaces, the proper way to prepare them by conversion treatment, the function of resins and anticorrosion pigments in paints, and novel concepts in corrosion protection. As an added bonus, all the standards and directives mentioned in the text are grouped together in their own chapter for a better overview.
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