Detection of corrosion degradation using electrochemical noise (EN): review of signal processing methods for identifying corrosion forms

Xia, Da-Hai; Shi, Song; Behnamian, Yashar

doi:10.1179/1743278215y.0000000057

Cited by 51 publications

(52 citation statements)

References 188 publications

(309 reference statements)

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“…A second measure to identify the type of corrosion is the location index (LI), Xia et al [30] defined LI as the ratio of the standard deviation of the current to the RMS current, equation 2 shows the above.…”

Section: = (1)mentioning

confidence: 99%

“…For the 0 hours of evaluation the filler metal and the additive manufacturing steel present a location index between 0.01 and 0.1, which indicates that mixed corrosion is being presented, after 120 hours of evaluation the strand presents a location index between 0.1 and 1, which identifies that pitting corrosion is occurring, this prevails until 1320 hours of evaluation. In the other hand, the AM steel at 120 hours of evaluation maintains a mixed corrosion state, already from 504 to 1320 hours this evolves to pitting corrosion [30]. The results of the calculation of the noise resistance (Rn) are shown in Figure 11.…”

Section: Corrosion Monitoringmentioning

confidence: 99%

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Evaluation of the corrosion resistance of an additive manufacturing steel using electrochemical techniques

Diaz¹,

Barba-Pingarrón²,

Ortiz-Godoy³

et al. 2020

revuin

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Additive metal manufacturing has undergone a revolution in recent years, being able to be incorporated in several industries such as aeronautics, automotive and even in medicine, allowing the manufacture of complex parts with fewer steps in the process, which translates in material savings and cost reduction. In this work, the corrosion of low carbon steel obtained by depositing consecutive layers is carried out, using electrochemical impedance spectroscopy and electrochemical noise immersed in a 0.1 M NaCl solution, establishing a comparison between the metal of contribution and deposited material. The layers of the material are characterized microstructurally and mechanically using scanning electron microscopy and Vickers microhardness. Overall, the results show a good response of the material to the action of the electrolyte after the immersion time, on the other hand, the microstructural results allow identifying the formation of 3 zones due to the cooling of the material. The microhardness of the steel does not show great changes between the zones, however, there is a slight increase in the intermediate zone due to the reduction in grain size. These studies allow researchers to know the behavior of these materials in applications that require contact with corrosive solutions of this nature.

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Section: = (1)mentioning

confidence: 99%

Section: Corrosion Monitoringmentioning

confidence: 99%

Evaluation of the corrosion resistance of an additive manufacturing steel using electrochemical techniques

Diaz¹,

Barba-Pingarrón²,

Ortiz-Godoy³

et al. 2020

revuin

View full text Add to dashboard Cite

show abstract

“…This technique can provide information concerning the nature of the corrosion process and the rate thereof. The main sources of EN observed in corrosion systems are attributed to microscopic and macroscopic events [19][20][21]. EN measurements can be performed under corrosion potential or any constant potential/current, depending on the research objective, to analyse the corrosion mechanism and obtain the corrosion rate [20].…”

Section: Introductionmentioning

confidence: 99%

Effect of Laminar Flow on the Corrosion Activity of AA6061-T6 in Seawater

Acosta¹,

Véleva²,

Chávez³

et al. 2021

Direct Numerical Simulations - An Introduction and Applications

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The electrochemical behaviour and surface changes on AA6061-T6 alloy exposed to Caribbean seawater from the Cozumel Channel for 30 days under laminar flow (0.1 ms À1) were studied, these contrasting then with stationary conditions. Open circuit potential monitoring and electrochemical current fluctuations, considered as electrochemical noise (EN), were employed as two nondestructive methods. The calculated corrosion current, based on Rn, was one order higher in laminar flow. The fluctuations of current were transformed in the frequency domain. Their power spectral density (PSD) plots were obtained in order to gain information concerning the dynamic of the spontaneous release of energy during the corrosion process. The value of the exponent β in PSD graphs suggested that the localised corrosion on AA6061-T6 surface occurs as a persistent stationary process, which dynamic is controlled by oxygen diffusion. The changes in the morphology and elemental composition of the formed layers revealed that the localised attacks occurred in the vicinity of intermetallic particles rich in Fe and Cu, which act as cathodes.

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“…The electrochemical noise (EN) technique has been widely used in atmospheric corrosion detection because its detection equipment is simple and portable and can be used for remote continuous monitoring [3]. The application of EN technique requires proper data analysis [4][5][6], and the establishment of a reliable electrode system in the atmospheric environment [7,8]. The data analysis of EN can represent the characteristic parameters of the corrosion type and corrosion degree of metal materials through time domain analysis, frequency domain analysis, and time-frequency analysis [9,10].…”

Section: Introductionmentioning

confidence: 99%

Quantification of the Atmospheric Corrosion of 304 and 2205 Stainless Steels Using Electrochemical Probes Based on Thevenin Electrochemical Equivalent Circuit Model

Zhu

Song

et al. 2020

Trans. Tianjin Univ.

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Stainless steel (SS) is one of the most widely used engineering materials in marine engineering. However, its corrosion in the marine atmospheric environment due to the high concentration of Cl − is a problem. The SS corrosion is a threat to the development and security of marine industry; therefore, evaluating the corrosion resistance of SSs is necessary. In this work, atmospheric corrosion detection probes based on a symmetrical electrode system were used to study the corrosion behaviors of 304 SS and 2205 duplex stainless steel (DSS) in a simulated marine atmosphere. A theoretical model for electrochemical noise (EN) data analysis based on the Thevenin electrochemical equivalent circuit (EEC) model was established. The relationship between the EN characteristic parameters and the corrosion rate was obtained. The Thevenin EEC model analysis showed that the relationship between the noise resistance (R n ), the noise impedance [R sn (f)], and the impedance modulus (|Z(f)|) was R n ≈ R sn = √ 3 �Z(f )� . Thus, R n and R sn can be used as indicators for quantitative corrosion evaluation. The results of EN detection for the 304 SS and 2205 DSS showed that in a simulated marine atmospheric environment, the passive films on the two SSs were relatively intact at the initial exposure stage, and their dissolution rates were slow. The corrosion resistance of the 2205 DSS was higher than that of the 304 SS. With the deposition of Cl − on the SS surface, pitting was initiated and the dissolution rate increased. The pitting initiation process on the SS surface was random, and part of the active pores could be repassivated.

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Detection of corrosion degradation using electrochemical noise (EN): review of signal processing methods for identifying corrosion forms

Cited by 51 publications

References 188 publications

Evaluation of the corrosion resistance of an additive manufacturing steel using electrochemical techniques

Evaluation of the corrosion resistance of an additive manufacturing steel using electrochemical techniques

Effect of Laminar Flow on the Corrosion Activity of AA6061-T6 in Seawater

Quantification of the Atmospheric Corrosion of 304 and 2205 Stainless Steels Using Electrochemical Probes Based on Thevenin Electrochemical Equivalent Circuit Model

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