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Degradation Modeling of 2024 Aluminum Alloy During Corrosion Process

机译:2024铝合金腐蚀过程的退化模型

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摘要

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.
机译:腐蚀是用于航空工程结构的铝合金中最具破坏性的机制之一。在本文中,通过实验和建模研究了AA 2024-T3在腐蚀条件下随时间的降解行为。在受控的电化学条件下,对AA 2024-T3样品进行了腐蚀实验。通过EDS技术研究了化学元素合金图,以进行评估。根据实验数据,建立了一个分析模型,将腐蚀过程中的材料损失与降解联系起来。该分析模型使用遗传算法(GA)来通过优化映射关系。从GA获得的结果与标准非线性回归模型进行了比较。所得结果表明,由于腐蚀造成的材料损失与合金的降解行为之间存在二次关系。基于获得的良好结果,可以将当前的降解建模方法扩展到其他金属。

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