TY - JOUR
T1 - A Computational Pitting Corrosion Model of Magnesium Alloys
AU - Chang, Chia Jung
AU - Chang, Chih Han
AU - Hung, Tin Kan
N1 - Funding Information:
This study was supported by the Department of Biomedical Engineering, the Medical Device Innovation Center, and the Instrument Development Center of the National Cheng Kung University. Grant support: Ministry of Science and Technology (MOST) (#110-2221-E-006 -012 -MY2).
Publisher Copyright:
Copyright © 2022 Chang, Chang and Hung.
PY - 2022/5/13
Y1 - 2022/5/13
N2 - Controlling the corrosion rate of implants to maintain mechanical properties during tissue healing is significant in developing magnesium alloy implants. In addition to surface treatment and material properties, the study of geometric alteration and mechanical strength are also vital for implant development. In this study, we developed a three-dimensional model for semi-autonomous computational pitting corrosion. It is based on the Monte Carlo method, modeling magnesium alloy implants toward clinical application. The corrosion probability is based on the number of exposed surfaces to saline and the oxidation characteristics of the elements. The computational results are well compared with the experimental measurement using micro-computed tomography (micro-CT) in 500 h. Subsequently, the computational analysis is extended to 3,000 h of corrosion analysis. The 3D model appears promising to assist the development of biodegradable implants.
AB - Controlling the corrosion rate of implants to maintain mechanical properties during tissue healing is significant in developing magnesium alloy implants. In addition to surface treatment and material properties, the study of geometric alteration and mechanical strength are also vital for implant development. In this study, we developed a three-dimensional model for semi-autonomous computational pitting corrosion. It is based on the Monte Carlo method, modeling magnesium alloy implants toward clinical application. The corrosion probability is based on the number of exposed surfaces to saline and the oxidation characteristics of the elements. The computational results are well compared with the experimental measurement using micro-computed tomography (micro-CT) in 500 h. Subsequently, the computational analysis is extended to 3,000 h of corrosion analysis. The 3D model appears promising to assist the development of biodegradable implants.
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U2 - 10.3389/fbioe.2022.887444
DO - 10.3389/fbioe.2022.887444
M3 - Article
AN - SCOPUS:85131305666
SN - 2296-4185
VL - 10
JO - Frontiers in Bioengineering and Biotechnology
JF - Frontiers in Bioengineering and Biotechnology
M1 - 887444
ER -