On the application of electrochemical impedance spectroscopy to study the self-healing properties of protective coatings
authors Zheludkevich, ML; Yasakau, KA; Bastos, AC; Karavai, O; Ferreira, MGS
nationality International
journal ELECTROCHEMISTRY COMMUNICATIONS
author keywords EIS; SVET; corrosion; self-healing; inhibitor
keywords SOL-GEL COATINGS; ORGANIC CORROSION-INHIBITORS; GALVANIZED STEEL; NANOCONTAINERS; PRETREATMENTS; AA2024-T3; RELEASE
abstract Active corrosion protection based on self-healing of defects in coatings is a vital issue for development of new advanced corrosion protection systems. However, there is a significant lack of experimental protocols, which can be routinely used to reveal the self-healing ability and to study the active corrosion protection properties of organic and hybrid coatings. The present work demonstrates the possibility to use EIS (electrochemical impedance spectroscopy) for investigation of the self-healing properties of protective coatings applied on a metal surface. The model EIS experiments supported by SVET (scanning vibrating electrode technique) measurements show that an increase of low frequency impedance during immersion in the corrosive medium is related to the suppression of active corrosion processes and healing of the corroded areas. Thus, EIS can effectively be employed as a routine method to study the self-repair properties of different protective systems. The 2024 aluminium alloy coated with hybrid solgel film was used as a model system to study the healing of artificial defects by an organic inhibitor (8-hydroxyquinoline). (C) 2007 Elsevier B.V. All rights reserved.
publisher ELSEVIER SCIENCE INC
issn 1388-2481
year published 2007
volume 9
issue 10
beginning page 2622
ending page 2628
digital object identifier (doi) 10.1016/j.elecom.2007.08.012
web of science category Electrochemistry
subject category Electrochemistry
unique article identifier WOS:000250368700031
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journal analysis (jcr 2017):
journal impact factor 4.660
5 year journal impact factor 4.534
category normalized journal impact factor percentile 80.357
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