van Gaalen Kerstin, Quinn Conall, Benn Felix, McHugh Peter E, Kopp Alexander, Vaughan Ted J
Biomechanics Research Centre (BioMEC), Biomedical Engineering, School of Engineering, National University of Ireland Galway, Galway, Ireland.
Meotec GmbH, Aachen, Germany.
Bioact Mater. 2022 Aug 12;21:32-43. doi: 10.1016/j.bioactmat.2022.08.004. eCollection 2023 Mar.
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 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 = 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 . This study establishes new mechanistic insight into the performance of the magnesium-based materials undergoing corrosion.
本研究提出了一个计算框架,用于研究局部表面腐蚀对镁基合金力学性能的影响。基于有限元的唯象腐蚀模型用于生成各种腐蚀剖面,并随后进行单轴拉伸试验模拟,以预测失效时的力学响应。基于Python的检测框架提供了对腐蚀空间唯象特征的详细量化,包括对腐蚀表面的完整几何跟踪。通过这种方法,本研究首次通过与实验数据比较,定量证明了基于表面的非均匀腐蚀模型可以捕捉镁合金腐蚀过程中的几何和力学特征。使用这种经过验证的腐蚀建模方法,评估了各种腐蚀情况,并建立了力学完整性与关键唯象腐蚀特征之间的定量关系。特别是,我们证明了最小横截面积参数是剩余力学强度的最强预测因子(R = 0.98),这种关系与局部表面腐蚀的严重程度或空间特征无关。有趣的是,我们的分析表明,与由……确定的参数相比,ASTM G46-94中描述的参数与腐蚀试样的力学完整性的相关性较弱。本研究为镁基材料腐蚀性能建立了新的机理认识。