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Compositional Study of a Corrosion Protective Layer formed by Leachable Lithium Salts in a Coating Defect on AA2024-T3 Aluminium Alloys

Marcoen, K, Visser, P, Trindade, G, Abel, Marie-Laure, Watts, John, Mol, J, Terryn, H and Hauffman, T (2018) Compositional Study of a Corrosion Protective Layer formed by Leachable Lithium Salts in a Coating Defect on AA2024-T3 Aluminium Alloys Progress in Organic Coatings, 119. pp. 65-75.

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Organic primer coatings loaded with environmentally harmful Cr(VI) corrosion inhibitive pigments still play an important role in corrosion protection of aluminium alloys for the aerospace industry. A potential green alternative coating system has recently been developed, loaded with lithium salt corrosion inhibitors. Under exposure to neutral salt spray, lithium salts leach from the organic coating into coating defects to induce the formation of a corrosion protective layer. In this work the composition and growth of this protective layer is investigated by time-of- ight secondary ion mass spectrometry (ToF-SIMS). ToF-SIMS imaging is successfully applied to monitor the lateral spread of leaching lithium salts in artificial one-millimeter-wide scribes. The chemical composition of the protective layer is revealed by comparing the mass spectra of salt spray exposed scribe areas to the mass spectra of pseudoboehmite and aluminium-lithium layered double hydroxide reference samples. The insights obtained in this work have led to a thorough understanding of the formation mechanism of the protective layer and provide local chemical and structural information which can be linked to corrosion protection behavior.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Mechanical Engineering Sciences
Authors :
Date : 28 February 2018
Identification Number : 10.1016/j.porgcoat.2018.02.011
Copyright Disclaimer : © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Uncontrolled Keywords : Corrosion, Inhibition, Leaching, Aluminium, Lithium, Coating, ToF-SIMS, Multivariate Analysis, NMF
Depositing User : Melanie Hughes
Date Deposited : 06 Mar 2018 11:38
Last Modified : 06 Mar 2018 11:38

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