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Exploring key ionic interactions for magnesium degradation in simulated body fluid – a data-driven approach
Citation Link: https://doi.org/10.15480/882.3486
Publikationstyp
Journal Article
Publikationsdatum
2021-01-22
Sprache
English
TORE-URI
Enthalten in
Volume
182
Article Number
109272
Citation
Corrosion Science 182: 109272 (2021-04-15)
Publisher DOI
Scopus ID
Publisher
Elsevier Science
Peer Reviewed
true
We have studied the degradation of pure magnesium wire in simulated body fluid and its subsets under physiological conditions to enable the prediction of the degradation rate based on the medium's ionic composition. To this end, micro-computed tomography and scanning electron microscopy with energy-dispersive X-ray spectroscopy were used, followed by a tree regression analysis. A non-linear relationship was found between degradation rate and the precipitation of calcium salts. The mean absolute error for predicting the degradation rate was 1.35 mm/yr. This comparatively high value indicates that ionic interactions were exceedingly complex or that an unknown parameter determining the degradation may exist.
Schlagworte
Magnesium degradation
MicroCT
Simulated body fluid
Tree regression
MLE@TUHH
DDC Class
600: Technik
More Funding Information
This research was supported in part through the Maxwell computational resources operated at Deutsches Elektronen-Synchrotron DESY , Hamburg, Germany.
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