4.7 Article

Exploring key ionic interactions for magnesium degradation in simulated body fluid ? A data-driven approach

期刊

CORROSION SCIENCE
卷 182, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.corsci.2021.109272

关键词

Magnesium degradation; Simulated body fluid; MicroCT; Tree regression

资金

  1. European Union's Horizon 2020 Research and Innovation Program under the Marie Sklodowska-Curie grant [811226]
  2. Hamburg University of Technology

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The study examined the degradation of pure magnesium wire in simulated body fluid under physiological conditions and predicted the degradation rate based on the medium's ionic composition. A non-linear relationship was discovered between degradation rate and the precipitation of calcium salts, with a mean absolute error of 1.35 mm/yr in predicting the degradation rate. This relatively high value suggests that ionic interactions are complex or that an unknown parameter influencing degradation may be present.
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.

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