Abstract
Pit initiation in AA7075 was characterized by measuring metastable pits from potentiostatic testing. Environmental conditions included a range of temperatures (0-60°C), chloride concentration (0.01-0.6 M), electrolyte pH (2.5-10) and electrochemical potential (E). Metastable pit initiation rate, λ, was shown to have a dependence on all environmental variables, which is highly relevant to practical service. As a result of the wide variation in λ, an artificial neural network (ANN), rather than a deterministic model, was utilized to model λ as a function of environment. Additionally, the significant body of results herein sheds light on the general pitting characteristics of such high strength Al-alloys in a quantitative sense - whereby T, pH, and [Cl -] were all deemed significant parameters in accurately determining λ.
Original language | English |
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Pages (from-to) | 336-345 |
Number of pages | 10 |
Journal | Electrochimica Acta |
Volume | 59 |
DOIs | |
State | Published - Jan 1 2012 |
Keywords
- 7xxx series
- Aluminum alloys
- Corrosion
- Metastable pitting
- Neural networks
ASJC Scopus subject areas
- Chemical Engineering (all)
- Electrochemistry