Degradation Modeling of 2024 Aluminum Alloy During Corrosion Process

作者：Pidaparti Ramana M^*; Aghazadeh Babak Seyed

来源：Journal of Materials Engineering and Performance, 2011, 20(3): 348-354.

DOI：10.1007/s11665-010-9707-0

• AA 2024-T3
• corrosion experiment
• degradation model
• EDS
• genetic algorithms

Corrosion is one of the most damaging mechanisms in aluminum alloys used in aerospace engineering structures. In this article, the degradation behavior of AA 2024-T3 as a function of time under corrosive conditions is studied through experiments and modeling. Corrosion experiments were conducted on AA 2024-T3 specimens under controlled electrochemical conditions. The chemical element alloy map was investigated through EDS technique for evaluation purposes. Based on the experimental data, an analytical model is developed relating the material loss to the degradation during the corrosion process. The analytical model uses genetic algorithms (GAs) to map the relationship through optimization. The results obtained from GAs were compared with a standard non-linear regression model. The results obtained indicate that a quadratic relationship exists in time between the material loss due to corrosion and the degradation behavior of the alloy. Based on the good results obtained, the present approach of degradation modeling can be extended to other metals.

• 出版日期2011-4