Detection and quantification of defect evolution at buried metal-oxide-polymer interface on rough substrate by local electrochemical impedance mapping

Sanchez, Thomas; Kurchavova, E.; Shkirskiy, Viacheslav; Światowska, Jolanta; Vivier, Vincent; Volovitch, P.

doi:10.1016/j.electacta.2021.138467

Cited by 9 publications

(7 citation statements)

References 45 publications

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“…To study the resistance of the films to cathodic polarization, a cyclic test with interleaved EIS measurements was performed. Cathodic polarization stresses organic coatings, and its use is common practice in the characterization of organic coating performance. − In a first sequence, six cycles of cathodic polarization at −1 V with respect to initial OCP were performed for 10 min each cycle, followed by a relaxation period of 60 s, and the recording of EI spectra after each period with polarization. In a second sequence, six cycles of cathodic polarization at −3 V with respect to initial OCP were performed for 10 min each, with their respective EIS monitoring measurements.…”

Section: Methodsmentioning

confidence: 99%

Molybdate and Phosphate Cross-Linked Chitosan Films for Corrosion Protection of Hot-Dip Galvanized Steel

Fernández-Solis,

Keil,

Erbe

2023

ACS Omega

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Environmentally friendly and sustainable methods to protect hot-dip galvanized (HDG) steel from corrosion are extensively studied. Films of the biopolymer polyelectrolyte chitosan were ionically cross-linked in this work with the wellknown corrosion inhibitors phosphate and molybdate. Layers on this basis are presented as components in a protective system and could, e.g., be applied in pretreatments similar to a conversion coating. For the preparation of the chitosan-based films, a procedure involving sol−gel chemistry and wet-wet application was utilized. Homogeneous films of few micrometers thickness were obtained on HDG steel substrates after thermal curing. Properties of chitosan-molybdate and chitosan-phosphate films were compared with purely passive epoxysilane-cross-linked chitosan, and pure chitosan. Delamination behavior of a poly(vinyl butyral) (PVB) weak model top coating studied by scanning Kelvin probe (SKP) showed an almost linear time dependence over >10 h on all systems. Delamination rates were 0.28 mm h −1 (chitosan-molybdate) and 0.19 mm h −1 (chitosan-phosphate), ca. 5% of a non-cross-linked chitosan reference and slightly higher than of the epoxsyilane cross-linked chitosan. Immersion of the treated zinc samples over 40 h in 5% NaCl solution yielded a 5-fold increase of the resistance in the chitosan-molybdate system, as evidenced by electrochemical impedance spectroscopy (EIS). Ion exchange of electrolyte anions with molybdate and phosphate triggers corrosion inhibition, presumably by reaction with the HDG surface as well described in the literature for these inhibitors. Thus, such surface treatments have potential for application, e.g., in temporary corrosion protection.

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Section: Methodsmentioning

confidence: 99%

Molybdate and Phosphate Cross-Linked Chitosan Films for Corrosion Protection of Hot-Dip Galvanized Steel

Fernández-Solis,

Keil,

Erbe

2023

ACS Omega

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“…This method was chosen to determine if dimensionality reduction algorithms could match the accuracy of human analysis with clear, noise-free data, that in future, can be used as a foundation to address the complexities introduced by experimental artifacts. It is crucial to emphasize that our study's relevance is unaffected, as removing noise and minimizing parasitic effects are common preliminary steps in experimental data analysis, [46][47][48][49][50][51] resulting in clean, distinct shapes akin to those in our dataset, which already reflects the important body of practical scenarios.…”

Section: Data Generationmentioning

confidence: 99%

Is Unsupervised Machine Learning Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?

Makogon,

Kanoufi,

SHKIRSKIY

2023

Preprint

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As electrochemical research undergoes rapid technological progression, the acquisition of substantial amounts of electrochemical impedance spectra (EIS) becomes increasingly feasible. Yet, this advancement introduces intricate challenges in data processing, automation, and interpretation. This paper delves into the sufficiency of unsupervised machine learning (ML) in decoding EIS complexities, examining its strengths, limitations, and potential pathways for optimization. As we navigated the intricacies of non-linear dimensionality reduction, spotlighting t-distributed stochastic neighbor embedding (t-SNE) and uniform manifold approximation and projection (UMAP) algorithms, a pattern emerged: these techniques excel at categorizing divergent impedance spectra but show limitations when faced with analogous circuit configurations, especially those substituting a capacitor with a constant phase element. This observation not only underscores a limitation but also accentuates that unsupervised ML approaches, alone, may not fully unravel the nuances of EIS spectra. In the concluding section of our manuscript, we discuss the implications of this finding from a practical standpoint, particularly for electrochemists seeking to apply these methods in their work.

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“…At the same time, the method has stable performance and can accurately differentiate and identify a variety of types of metal welds. Literature [14] shows that the chemical stability of the thin-layer interface is significantly reduced only after the trivalent chromium conversion coating has rusted to a certain degree. Literature [15] investigated the steel surface descaling technology based on an ultraviolet nanosecond laser, and the results showed that the descaling method produces less pollution, the descaling efficiency is very high and can strengthen the corrosion resistance of metallic steel surface after descaling.…”

Section: Introductionmentioning

confidence: 99%

Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision

Gao,

Zhao,

Shangguan

et al. 2024

Applied Mathematics and Nonlinear Sciences

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Automated laser descaling represents a crucial advancement in marine maintenance, particularly in localized corrosion treatment. This research utilizes AH32 marine steel for corrosion testing, applying color feature extraction and the OTSU thresholding method, refined with morphological processing, to accurately delineate descaling areas. We have engineered a laser descaling protocol with an impressive 97% recognition accuracy through the innovative application of LabVIEW technology combined with machine vision. Implementing this technology promises enhanced corrosion resistance for marine vessels, setting a new standard for maintenance efficiency and quality.

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Detection and quantification of defect evolution at buried metal-oxide-polymer interface on rough substrate by local electrochemical impedance mapping

Cited by 9 publications

References 45 publications

Molybdate and Phosphate Cross-Linked Chitosan Films for Corrosion Protection of Hot-Dip Galvanized Steel

Molybdate and Phosphate Cross-Linked Chitosan Films for Corrosion Protection of Hot-Dip Galvanized Steel

Is Unsupervised Machine Learning Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?

Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision

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