Mechanisms of non-toxic anticorrosive pigments in organic waterborne coatings

Zubielewicz, M.; Gnot, W.

doi:10.1016/j.porgcoat.2003.11.001

Cited by 145 publications

(65 citation statements)

References 30 publications

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“…It can be seen obviously in Figure 5 that the impedance data of each cycle were equally spaced on a logarithmic scale for a total of 50 points. After the first cycle, the impedance modulus of the two specimens displayed very high value (>10 9 Ω·cm 2 ) at 0.1 Hz, which suggested that the coating can still protect the metal from corrosive action. Nevertheless, after the second cycle, the impedance modulus values |Z| at the low-frequency of both specimens declined sharply to about 10 6 Ω·cm 2 .…”

Section: Analysis Of the Electrochemical Impedance Datamentioning

confidence: 98%

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: Analysis Of the Electrochemical Impedance Datamentioning

confidence: 98%

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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“…Casting aluminum alloy has good performance, but the manufacturing cost is high, at this stage is not conducive to the promotion of a wide range. Therefore, it is feasible to improve the surface properties of aluminum alloy by modifying the surface of aluminum alloys [1] [2].…”

Section: Introductionmentioning

confidence: 99%

Effect of Laser Cladding Al Ni TiC Powder on Microstructure and Properties of Aluminum Alloy

Zhang¹,

Zhang²,

Ma³

et al. 2017

JMMCE

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In this paper, Al/Ni/TiC powders were mixed on the surface of A380 aluminum alloy, by selecting appropriate laser parameters; the cladding layer with good adhesion to the substrate was obtained. The microstructure and properties of the cladding layer under different laser parameters were analyzed. The results show that: the phase composition of the cladding layer is mainly composed of TiC, Al, Ni, C and Ti phases. The hardness of the cladding region is up to 173.3 HV, which is about 2.9 times the matrix (−59.1 HV). The corrosion voltage (−1.8 V) of the cladding layer shifted significantly from the corrosion potential (−1.18 V), the corrosion current density increased, the resistance value decreased and the diameter of the capacitor arc decreased; all these phenomena indicate that the corrosion resistance of the cladding layer is decreased.

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“…Cano et al [18] recently have proposed mechanism of inhibition of dicyclohexamineisonitrite and dicyclohexaminenitrite against corrosion due to vapours of acetic acid and formic acid on carbon steel. Zubielewicz et al [19] studied the electrochemical behaviour of mixed anodic inhibitors.…”

Section: Introductionmentioning

confidence: 99%

DAA, 1-BIZ and 5-ATZ as Vapour Phase Corrosion Inhibitors for Mild Steel under Different Aggressive Atmospheric Conditions at High Temperature

Saini

Kumar

2014

ILCPA

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Mild Steel and their products are main raw material for a strong infrastructure for every country which is the main demand in the race of survival, stabilization, growth and competition. Industrialization and modernization in now a days has made a strong demand of steel and their maintenance but atmospheric corrosion can aggressively accelerate the degradation of steel during their manufacturing, processing, storage and transportation. In these cases, traditional methods to prevent corrosion are not suitable which provide the scope of Vapour Phase Corrosion Inhibitors (VPCI) in industries, defense and daily life. Three new VPCI namely Diallylamine (DAA), 1-Benzylimidazole (1-BIZ) and 5-Aminotetrazole (5-ATZ) were tested for mild steel in different aggressive atmospheric conditions by Weight Loss Test, Eschke Test, Salt Spray Test, Sulphur dioxide (SO 2 ) Test at 50 °C and results of these tests were supported by Metallurgical Research Microscopy and Scanning Electron Microscopy (SEM).

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Mechanisms of non-toxic anticorrosive pigments in organic waterborne coatings

Cited by 145 publications

References 30 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

Effect of Laser Cladding Al Ni TiC Powder on Microstructure and Properties of Aluminum Alloy

DAA, 1-BIZ and 5-ATZ as Vapour Phase Corrosion Inhibitors for Mild Steel under Different Aggressive Atmospheric Conditions at High Temperature

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