Computational modelling of magnesium degradation in simulated body fluid under physiological conditions

Magnesium alloys are highly attractive for the use as temporary implant materials, due to their high biocompatibility and biodegradability. However, prediction of degradation rate implants is difficult, therefore, a large number experiments required. Computational modelling can aid in enabling predictability, if sufficiently accurate models be established. This work presents generalized model pure magnesium simulated body fluid over course 28 days considering uncertainty aspects. The includes computation metallic material thinning calibrated using mean depth several experimental datasets simultaneously. Additionally, formation precipitation relevant products on sample surface modelled, based ionic composition fluid. computed good agreement with data (NRMSE=0.07). quality profile curves determined elemental weight percentage differs between elements (such NRMSE=0.40 phosphorus vs. NRMSE=1.03 magnesium). indicates that implementation precipitate may need further developments. sensitivity analysis showed parameters correlated which related complexity computational costs model. Overall, provides correlating fit Mg samples different geometries degrading reliable error estimation.