4.7 Article

Predicting the degradation behavior of magnesium alloys with a diffusion-based theoretical model and in vitro corrosion testing

期刊

JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
卷 35, 期 7, 页码 1393-1402

出版社

JOURNAL MATER SCI TECHNOL
DOI: 10.1016/j.jmst.2019.02.004

关键词

Degradation behavior; Diffusion model; Finite element simulation; Magnesium alloy; Corrosion; Medical device

资金

  1. National Key Research and Development Program of China [2016YFC1102402]
  2. National Natural Science Foundation of China [51431002, 51871004]
  3. NSFC/RGC Joint Research Scheme [51661165014]
  4. Peking University Medicine Seed Fund for Interdisciplinary Research [BMU2018ME005]

向作者/读者索取更多资源

Magnesium alloys have shown great potential for their use in the medical device field, due to the promising biodegradability. However, it remains a challenge to characterize the degradation behavior of the Mg alloys in a quantitative manner. As such, controlling the degradation rate of the Mg alloys as per our needs is still hard, which greatly limits the practical application of the Mg alloys as a degradable biomaterial. This paper discussed a numerical model developed based on the diffusion theory, which can capture the experimental degradation behavior of the Mg alloys precisely. The numerical model is then implemented into a finite element scheme, where the model is calibrated with the data from our previous studies on the corrosion of the as-cast Mg-1Ca and the as-rolled Mg-3Ge binary alloys. The degradation behavior of a pin implant is predicted using the calibrated model to demonstrate the model's capability. A standard flow is provided in a practical framework for obtaining the degradation behavior of any biomedical Mg alloys. This methodology was further verified via the comparison with enormous available experimental results. Lastly, the material parameters defined in this model were provided as a new kind of material property. (C) 2019 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.

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