Linking the effect of localised pitting corrosion with mechanical integrity of a rare earth magnesium alloy for implant use.
| Autor: | van Gaalen K; Biomechanics Research Centre (BioMEC), Biomedical Engineering, School of Engineering, National University of Ireland Galway, Galway, Ireland.; Meotec GmbH, Aachen, Germany., Quinn C; Biomechanics Research Centre (BioMEC), Biomedical Engineering, School of Engineering, National University of Ireland Galway, Galway, Ireland., Benn F; Meotec GmbH, Aachen, Germany.; School of Mechanical and Aerospace Engineering, Queen's University Belfast, Belfast, United Kingdom., McHugh PE; Biomechanics Research Centre (BioMEC), Biomedical Engineering, School of Engineering, National University of Ireland Galway, Galway, Ireland., Kopp A; Meotec GmbH, Aachen, Germany., Vaughan TJ; Biomechanics Research Centre (BioMEC), Biomedical Engineering, School of Engineering, National University of Ireland Galway, Galway, Ireland. |
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| Jazyk: | angličtina |
| Zdroj: | Bioactive materials [Bioact Mater] 2022 Aug 12; Vol. 21, pp. 32-43. Date of Electronic Publication: 2022 Aug 12 (Print Publication: 2023). |
| DOI: | 10.1016/j.bioactmat.2022.08.004 |
| Abstrakt: | This study presents a computational framework that investigates the effect of localised surface-based corrosion on the mechanical performance of a magnesium-based alloy. A finite element-based phenomenological corrosion model was used to generate a wide range of corrosion profiles, with subsequent uniaxial tensile test simulations to predict the mechanical response to failure. The python-based detection framework PitScan provides detailed quantification of the spatial phenomenological features of corrosion, including a full geometric tracking of corroding surface. Through this approach, this study is the first to quantitatively demonstrate that a surface-based non-uniform corrosion model can capture both the geometrical and mechanical features of a magnesium alloy undergoing corrosion by comparing to experimental data. Using this verified corrosion modelling approach, a wide range of corrosion scenarios was evaluated and enabled quantitative relationships to be established between the mechanical integrity and key phenomenological corrosion features. In particular, we demonstrated that the minimal cross-sectional area parameter was the strongest predictor of the remaining mechanical strength (R 2 = 0.98), with this relationship being independent of the severity or spatial features of localised surface corrosion. Interestingly, our analysis demonstrated that parameters described in ASTM G46-94 showed weaker correlations to the mechanical integrity of corroding specimens, compared to parameters determined by Pitscan . This study establishes new mechanistic insight into the performance of the magnesium-based materials undergoing corrosion. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2022 The Authors.) |
| Databáze: | MEDLINE |
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