Computational modeling of degradation process of biodegradable magnesium biomaterials
- 1. Biomechanics Section, Department of Mechanical Engineering, KU Leuven, Leuven (Belgium)
- 2. School of Materials Science and Engineering & Henan Key Laboratory of Advanced Magnesium Alloy, Zhengzhou University, Zhengzhou (China)
- 3. Institute of Surface Science, Helmholtz-Zentrum Hereon, Geesthacht (Germany)
- 4. Biomechanics Research Unit, GIGA in Silico Medicine, University of Liége, Liége (Belgium)
Description
Highlights: • Mathematical modeling of corrosion of degradable magnesium. • Bayesian optimization for model calibration using experimental data. • Dedicated corrosion tests in saline and SBF solutions for validation. • A good agreement of model predictions with experimentally obtained values. • Mathematical presentation of local and global pH changes. Despite the advantages of using biodegradable metals in implant design, their uncontrolled degradation and release remain a challenge in practical applications. A validated computational model of the degradation process can facilitate tuning implant biodegradation properties. In this study, a mathematical model of the chemistry of magnesium biodegradation was developed and implemented in a 3D computational model. The parameters were calibrated by Bayesian optimization using dedicated experimental data. The model was validated by comparing the predicted and experimentally obtained pH change in saline and buffered solutions, showing maximum 5% of difference, demonstrating the model's validity to be used for practical cases.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.corsci.2021.109674Additional details
Identifiers
- DOI
- 10.1016/j.corsci.2021.109674;
- PII
- S0010938X21004406;
Publishing Information
- Journal Title
- Corrosion Science
- Journal Volume
- 190
- Journal Page Range
- vp.
- ISSN
- 0010-938X
- CODEN
- CRRSAA
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54019063
- Subject category
- S36: MATERIALS SCIENCE; S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
- Descriptors DEI
- BIODEGRADATION; BIOLOGICAL MATERIALS; BUFFERS; CALIBRATION; COMPUTERIZED SIMULATION; CORROSION; DESIGN; DIFFUSION; FINITE ELEMENT METHOD; MAGNESIUM; MATHEMATICAL MODELS; OPTIMIZATION; PH VALUE
- Descriptors DEC
- ALKALINE EARTH METALS; CALCULATION METHODS; CHEMICAL REACTIONS; DECOMPOSITION; ELEMENTS; MATERIALS; MATHEMATICAL SOLUTIONS; METALS; NUMERICAL SOLUTION; SIMULATION
Optional Information
- Copyright
- Copyright (c) 2021 The Author(s). Published by Elsevier Ltd.