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

Computational modeling of degradation process of biodegradable magnesium biomaterials

“…This was done by considering the mass diffusion and change of the concentration of Mg 2+ ions, and then, employing an arbitrary Eulerian-Lagrangian (ALE) approach to extend the model to 3D on an adaptive mesh. A similar approach was taken by Shen et al to develop a theoretical model of the degradation behavior of Mg-based orthopedic implants showing great consistency with in vitro test results [10].…”

Phase-field modeling of pitting and mechanically-assisted corrosion of Mg alloys for biomedical applications

“…The properties of the Mg alloy used in the simulations are listed in Table 1. Due to the lack of experimental data on the diffusivity of Mg ions in biological fluids, the magnitude of D l c M g is estimated as the average value utilized in various numerical studies [33][34][35][36][37][38][39][40]. Although the concentration of Mg ions in the solid phase (c s M g ) could be evaluated using the material data for pure Mg and the mass fraction of alloying elements and impurities, the value for pure Mg is used in this investigation for simplicity [69].…”

“…Although phenomenological models have been typically used to simulate Mg corrosion, there is a growing interest in the development of physically-based models that can resolve the physical processes governing corrosion and thus provide mechanistic predictions and insight [35][36][37][38][39][40][41]. While the underlying physics is relatively well understood, there are significant theoretical and computational challenges intrinsic to the coupled nature of the problem and the difficulty of tracking the evolution of complex corrosion interfaces in arbitrary domains.…”

“…Regarding the former, a mechanistic model of Mg corrosion must account for Mg dissolution at the corrosion front (short-range interactions), diffusion of Mg ions in solution (long-range interactions) and the coupling with other physical phenomena such as capturing the role of mechanics in enhancing corrosion rates and the electrochemistry-corrosion interplay. Regarding the challenges associated with tracking an evolving corrosion front computationally, a number of numerical techniques have been recently proposed, including Arbitrary Lagrangian-Eulerian (ALE) approaches [35][36][37], level set methods [38][39][40], and peridynamics [41]. However, these are mainly used in the context of uniform corrosion as they are still limited in capturing localized corrosion, coupling with other physicomechanical phenomena, and handling geometric interactions in arbitrary dimensions (2D/3D), such as the coalescence of corrosion pits.…”

Layer-by-Layer Self-Assembly Composite Coatings for Improved Corrosion and Wear Resistance of Mg Alloy for Biomedical Applications

“…Surface treatment is one of the major strategies being extensively explored nowadays to enhance the corrosion resistance of alloys [19][20][21]. It usually includes anodizing, ion implantation, and chemical conversion layer, etc., which prevents corrosive medium from penetrating onto the substrate surface at the initial stage [22][23][24]. This meets the biodegradation requirements of biomedical applications that metals slowly corrode initially and completely dissolve after completing their functions [25][26][27].…”