EIS studies of coated metals in accelerated exposure

Bierwagen, Gordon P.; Tallman, Dennis E.; Li, Junping; He, Lijun; Jeffcoate, C. S.

doi:10.1016/s0300-9440(02)00222-9

Cited by 218 publications

(133 citation statements)

References 17 publications

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“…Bierwagen et al [7] proposed that the low-frequency impedance is very sensitive to the coating degradation process, and the impedance of the coating at low frequency is in accordance with Equations (9) and (10). …”

Section: Degradation Kinetics Modelmentioning

confidence: 91%

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Investigation of Service Life Prediction Models for Metallic Organic Coatings Using Full-Range Frequency EIS Data

Ran

Dai

et al. 2017

Metals

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Abstract:Various service life prediction models of organic coatings were analyzed based on the acquirement of the measurement of Electrochemical Impedance Spectroscopy (EIS) from indoor accelerated tests. First, some theoretical formulas on corrosion lifetime predictions of coatings were introduced, followed by the comparative assessment of four practical prediction models in view of prediction accuracy in application. The prediction from impedance data at single low frequency |Z| 0.1 Hz , the classical degradation kinetics, and proposed improved degradation kinetics model, as well as a self-organized neural network prediction based on sample detection, were focused in this paper. The standard AF1410 plates employed as the metallic substrates were coated with sprayed zinc layer, epoxy-ester primer and polyurethane enamel layer. The accelerated experiments which mimicked coastal areas of China were carried out with the specimens after surface treatment. The assessment of results showed that the proposed improved degradation kinetics model and neural network classification model based on the full range of frequency data obviously have higher prediction accuracies than the traditional degradation kinetics model, and the prediction precision of the sample detection-based neural network classification was the highest among these models. The study gives some insights for coating degradation lifetime prediction which may be useful and supportive for practical applications.

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Section: Degradation Kinetics Modelmentioning

confidence: 91%

“…Based on the |Z| data at low frequency, the service life of coatings can be predicted approximately. According to this method, the failure criterion of coatings can be expressed by Equation (7).…”

Section: Prediction From |Z| Data At Low Frequencymentioning

confidence: 99%

Investigation of Service Life Prediction Models for Metallic Organic Coatings Using Full-Range Frequency EIS Data

Ran

Dai

et al. 2017

Metals

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“…According to the EIS results, three equivalent circuits are proposed as physical models (as shown in Figure 6), although various equivalent circuits could be employed for an entity corroding system [24][25][26][27]. To achieve an optimum fitting result, not only relative estimated errors of the calculated parameters by the software were kept below 3%, but also the fitting precision was checked by comparing the experimental and fitted curves.…”

Section: Electrochemical Measurementsmentioning

confidence: 99%

“…This study investigates the electrochemical and microbiological properties of beeswax-colophony green mixture as a proposed coating for drinking water storage tanks. In order to assess the coating performance in preventing corrosion or fouling, electrochemical techniques such as electrochemical impedance spectroscopy (EIS) have been previously used in chloride containing solutions [23][24][25][26][27][28][29][30][31][32][33][34]. Therefore, in this study, the long-term electrochemical behavior of the coating was studied in 3.5 wt.…”

Section: Introductionmentioning

confidence: 99%

Beeswax-Colophony Blend: A Novel Green Organic Coating for Protection of Steel Drinking Water Storage Tanks

Abdikheibari

Parvizi

Moayed

et al. 2015

Metals

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Beeswax-colophony blend is mainly used as a sealant mixture for preservation applications. The beeswax itself, however, has had a long way in history taking part in conservation processes including mummification. In this research, this blend was used as a protective coating for drinking water distribution tanks. Initially, a layer with 400 μm thickness was applied on a sand blasted mild steel plate. The long-term electrochemical behavior of the coating was investigated by open circuit potential (OCP) and electrochemical microbiological characteristics of the coating, microbial and chemical examinations were performed on drinking water samples that had been in contact with the coating. Furthermore, its behavior in an up-flow anaerobic sludge blanket reactor (UASBR) in a wastewater treatment plant was investigated using the scanning electron microscopy (SEM) technique. Regarding the consistency of experimental results, it was concluded that this proposed recyclable blend could be considered as a novel green organic coating and also a good corrosion barrier even in aggressive environments. OPEN ACCESSMetals 2015, 5 1646

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“…Literature review on EIS and coatings have indicated that the low frequency (ω) ranges between 10 -3 and 5x10 -2 Hz [30].…”

Section: Interpretation Of Eis Data: Nyquist and Bode Diagramsmentioning

confidence: 99%

Evaluation of Organic Protective Coatings as Corrosion Prevention for The Interior of Subsea Pipelines in Sour Gas Service

Alkordy¹

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EIS studies of coated metals in accelerated exposure

Cited by 218 publications

References 17 publications

Investigation of Service Life Prediction Models for Metallic Organic Coatings Using Full-Range Frequency EIS Data

Investigation of Service Life Prediction Models for Metallic Organic Coatings Using Full-Range Frequency EIS Data

Beeswax-Colophony Blend: A Novel Green Organic Coating for Protection of Steel Drinking Water Storage Tanks

Evaluation of Organic Protective Coatings as Corrosion Prevention for The Interior of Subsea Pipelines in Sour Gas Service

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