Bioactive plasma electrolytic oxidation coatings on Mg-Ca alloy to control degradation behaviour
authors Mohedano, M; Luthringer, BJC; Mingo, B; Feyerabend, F; Arrabal, R; Sanchez-Egido, PJ; Blawert, C; Willumeit-Romer, R; Zheludkevich, ML; Matykina, E
nationality International
journal SURFACE & COATINGS TECHNOLOGY
author keywords PEO; Mg alloys; Corrosion; Biodegradable materials
keywords AZ91D MAGNESIUM ALLOY; CORROSION BEHAVIOR; PEO COATINGS; BIOMEDICAL APPLICATIONS; BIODEGRADABLE IMPLANTS; MECHANICAL-PROPERTIES; HEAT-TREATMENT; MICROSTRUCTURE; HYDROXYAPATITE; ADJUSTMENT
abstract The present work reports on PEO coatings which can be potentially used for degradation control of Mg-based implant materials. Three coatings were developed on Mg-0.8wt%Ca alloy: two in an electrolyte with fluoride species using different treatment times and one in a fluoride-free electrolyte. Uncoated and coated materials were examined in terms of structure and morphology using TEM, SEM and XRD. The corrosion investigations on fluoride containing samples were performed using DC potentiodynamic curves, EIS and hydrogen evolution measurements. Both PEO coatings improved the corrosion resistance compared to the bulk material and the best behaviour was found for the thinnest PEO coating (PE01-F). The amount of released F ions was also measured with the aim of underpinning the effect of coatings and presence of fluorides species on the cell response. The bulk material and the coated alloy were studied using live/dead cell test, with the best results obtained for thinner fluoride containing coatings. (C) 2017 Elsevier B.V. All rights reserved.
publisher ELSEVIER SCIENCE SA
issn 0257-8972
year published 2017
volume 315
beginning page 454
ending page 467
digital object identifier (doi) 10.1016/j.surfcoat.2017.02.050
web of science category Materials Science, Coatings & Films; Physics, Applied
subject category Materials Science; Physics
unique article identifier WOS:000399268100051
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journal analysis (jcr 2017):
journal impact factor 2.906
5 year journal impact factor 2.923
category normalized journal impact factor percentile 77.605
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