Abstract
Corrosion is a significant problem in a large number of aerospace and commercial applications. Prediction of expected pit size and distribution due to localized corrosion processes is essential in understanding product life. Until now, the approach to predict pit size has been based on statistical analysis of pits in exposure tests. In this work, a combined experimental and multi-scale modeling method is used to develop a physics-based approach to understanding the factors that affect pit growth. The integrated approach uses thermodynamic modeling to understand the pit solution chemistry, atomistic modeling to study the kinetics, and experimental electro-kinetic measurements to validate the model predictions. Each of these pieces feed into an analytical model of pit growth to determine the maximum theoretical size. Model assumptions, results and pit size predictions for model aluminum systems are discussed.
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© 2013 TMS (The Minerals, Metals & Materials Society)
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Smith, K.D. et al. (2013). ICME Approach to Corrosion Pit Growth Prediction. In: Li, M., Campbell, C., Thornton, K., Holm, E., Gumbsch, P. (eds) Proceedings of the 2nd World Congress on Integrated Computational Materials Engineering (ICME). Springer, Cham. https://doi.org/10.1007/978-3-319-48194-4_5
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DOI: https://doi.org/10.1007/978-3-319-48194-4_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48585-0
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