Research output per year
Research output per year
Ziyu Li, Axel Homborg*, Yaiza Gonzalez-Garcia, Ali Kosari, Peter Visser, Arjan Mol
Research output: Contribution to journal › Article › Scientific › peer-review
The formation process of a lithium-based conversion layer on AA2024-T3 and its corrosion protective behavior are studied using electrochemical noise (EN). Wavelet transform, as well as noise resistance analysis, have been employed to interpret the EN data. The EN data confirmed five different stages during the conversion layer growth, accompanied by anodic dissolution, increasing corrosion protection of the conversion layer, and adsorption, growth and desorption of hydrogen bubbles simultaneously. The detachment of hydrogen bubbles, localized and uniform corrosion generate different features in the EN signals with energy maxima in high, intermediate and low frequency bands, respectively. In addition, EN results show that the lithium-based conversion layer still provides efficient protection after re-immersion in a corrosive environment, even though localized damage occurs. Moreover, the EN data corresponds well with the morphological layer formation and breakdown observed with microscopy techniques. The results demonstrate that EN is a powerful tool to provide continuous time- and frequency-resolved information about inhibition efficiency.
Original language | English |
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Article number | 140733 |
Number of pages | 13 |
Journal | Electrochimica Acta |
Volume | 426 |
DOIs | |
Publication status | Published - 2022 |
Research output: Thesis › Dissertation (TU Delft)