Affiliation:
1. Department of Mechanical Engineering , 3298 George Mason University , Fairfax , VA 22030 , USA
Abstract
Abstract
To address the need for reduced vehicle weight and improved environmental sustainability, the automotive industry has increasingly turned to mixing lightweight materials and alloys with metal alloys. However, this integration of dissimilar materials has heightened the risk of galvanic corrosion. This study addresses the gap in modeling of galvanic corrosion under dynamic thin film electrolyte by incorporating data derived from real-world weather conditions and finite element simulations. The presented model successfully captures the trend of galvanic corrosion rate for a given atmospheric environmental condition. The model predictions are compared with experimental data in the literature. Good agreements are observed. The model is further used for prediction of galvanic corrosion of two identical vehicles located in two different geographic locations (i.e., Miami Beach in Florida and Wendover in Nevada) in the year 2021 leveraging weather station data. Additionally, a Bayesian estimation method is used to account for uncertainties in the model parameters and estimation of the probability of failure.
Reference25 articles.
1. Chen, Z.Y., Cui, F., and Kelly, R.G. (2008). Calculations of the cathodic current delivery capacity and stability of crevice corrosion under atmospheric environments. J. Electrochem. Soc. 155: C360, https://doi.org/10.1149/1.2926557.
2. Deshpande, K.B. (2010). Validated numerical modelling of galvanic corrosion for couples: magnesium alloy (AE44)–mild steel and AE44–aluminium alloy (AA6063) in brine solution. Corros. Sci. 52: 3514–3522, https://doi.org/10.1016/j.corsci.2010.06.031.
3. Donea, J., Huerta, A., Ponthot, J.-Ph., and Rodríguez-Ferran, A. (2004). Arbitrary Lagrangian – Eulerian methods. In: Stein, E., Borst, R., and Hughes, T.J.R. (Eds.). Encyclopedia of computational mechanics. Wiley, Chichester.
4. Gupta, D., Eom, H.-J., Cho, H.-R., and Ro, C.-U. (2015). Hygroscopic behavior of NaCl–MgCl2 mixture particles as nascent sea-spray aerosol surrogates and observation of efflorescence during humidification. Atmos. Chem. Phys. 15: 11273–11290, https://doi.org/10.5194/acp-15-11273-2015.
5. Imanian, A. and Amiri, M. (2022). Phase field modeling of corrosion damage. Corros. Rev. 40: 343–354, https://doi.org/10.1515/corrrev-2021-0063.