Chang Chia-Jung, Chang Chih-Han, Hung Tin-Kan
Department of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.
Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States.
Front Bioeng Biotechnol. 2022 May 13;10:887444. doi: 10.3389/fbioe.2022.887444. eCollection 2022.
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.
控制植入物的腐蚀速率以在组织愈合过程中保持机械性能对于开发镁合金植入物具有重要意义。除了表面处理和材料性能外，几何形状改变和机械强度的研究对于植入物开发也至关重要。在本研究中，我们开发了一种用于半自主计算点蚀腐蚀的三维模型。它基于蒙特卡罗方法，对面向临床应用的镁合金植入物进行建模。腐蚀概率基于暴露于盐水的表面数量和元素的氧化特性。计算结果与使用微计算机断层扫描（micro-CT）在500小时内的实验测量结果进行了很好的比较。随后，将计算分析扩展到3000小时的腐蚀分析。该三维模型似乎有望协助可生物降解植入物的开发。
