Atmospheric corrosion behaviour of 30CrMnSiA high-strength steel in rural, industrial and marine atmosphere environments

Yang, Xiangsheng; Zhang, Lunwu; Liu, Ming; Zhang, Shiyan; Zhou, Kun; She, Zhishun; Mu, Xianliang; Li, Difan

doi:10.1080/1478422x.2016.1254447

Cited by 13 publications

(4 citation statements)

References 32 publications

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“…Chloride is another important atmospheric pollutant that affects the corrosion process. The deposition of chloride on metal surfaces can significantly improve the corrosion rate of various metals, including carbon steel (Lin and Wang 2005;Yang et al 2017), zinc (Qu et al 2002), aluminum alloy (Wang et al 2018), magnesium alloy (Esmaily et al 2015;Lin and Wang 2005;LeBozec et al 2004), and so on. The effect of chloride on atmospheric corrosion rate is mainly reflected in the following aspects.…”

Section: Influence Of Pollutantsmentioning

confidence: 99%

Atmospheric corrosion prediction: a review

Cai

Zhao

et al. 2020

Corrosion Reviews

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The atmospheric corrosion of metallic materials causes great economic loss every year worldwide. Thus, it is meaningful to predict the corrosion loss in different field environments. Generally, the corrosion prediction method includes three parts of work: the modelling of the corrosive environment, the calibration of the corrosion effects, and the establishment of the corrosion kinetics. This paper gives an overview of the existing methods as well as promising tools and technologies which can be used in corrosion prediction. The basic corrosion kinetic model is the power function model and it is accurate for short-term corrosion process. As for the long-term corrosion process, the general linear models are more appropriate as they consider the protective effect of the corrosion products. Most corrosion effect models correlate the environmental variables, which are characterized by the annual average value in most cases, with corrosion parameters by linear equations which is known as the dose-response function. Apart from these conventional methods, some mathematical and numerical methods are also appropriate for corrosion prediction. The corrosive environment can be described by statistical distributions, time-varying functions and even geographic information system (GIS), while the corrosion effect can be captured via response surface models and statistical learning methods.

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Section: Influence Of Pollutantsmentioning

confidence: 99%

Atmospheric corrosion prediction: a review

Cai

Zhao

et al. 2020

Corrosion Reviews

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“…Atmospheric corrosion is essentially an electrochemical corrosion process of materials in the dry/wet cycle under a thin electrolyte layer, variation of temperature, relative humidity (RH), rainfall, salt particles, and frequency of wet/dry cycling [6][7][8]. In the last few decades, many efforts have declared that temperature and RH have a significant effect on the corrosion performance of metal via variations in the physical and chemical state of the atmosphere/metal interface layer [9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Effect of UV Irradiation on the Alternating Wet and Dry Corrosion Behavior of Galvanized Steel in Sodium Chloride Solution

Pan,

Wang,

Yang

et al. 2023

Crystals

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In this paper, the corrosion performance of galvanized steel was investigated in a simulated marine environment, under UV irradiation coupling with an alternating wet and dry cycle in a NaCl solution. The surface morphology, composition, and corrosion performance of galvanized steel before and after different alternating wet and dry corrosion under UV irradiation were investigated. The results show that the corrosion current density gradually increases and the corrosion resistance decreases as a function of the alternating wet and dry corrosion cycles. Meanwhile, UV irradiation accelerates the increase in the corrosion current density and the decrease in the corrosion resistance. In addition, the corrosion product ZnO shows a semiconductor property, and the photo-induced electrons and holes produced under UV can participate in the corrosion reaction and promote the formation of loose corrosion products Zn(OH)2, Zn5(OH)8Cl2, and Al2Cl3(OH)5·4H2O, thus accelerating the corrosion of galvanized steel in the atmosphere environment.

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“…The marine environment is divided into different zones owing to the characteristics, resulting in various corrosion problems. Hence, the corrosion behaviour of steel in diverse marine environments has been studied directly [3][4][5][6][7]. In general, there is the lowest corrosion rate of CS in the atmosphere [8].…”

Section: Introductionmentioning

confidence: 99%

Corrosion behaviour of carbon steel in Beibu Gulf tidal zone

et al. 2022

Corrosion Engineering, Science and Technology

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Corrosion behaviour of carbon steel (CS) exposed in the tidal zone of Beibu Gulf was investigated by experimental method. Q235 CS specimens were designed and exposed for 12 months. The corrosion mechanism of CS was characterised by scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS) and X-Ray diffraction (XRD). Results show that the corrosion performance of CS can be verified by the formula D = at n . The corrosion products are mainly composed of α-FeOOH, γ-FeOOH, β-FeOOH, Fe 3 O 4 and γ-Fe 2 O 3 . Significantly, Clis an intermediate in the corrosion process and promotes the formation of the characteristic product β-FeOOH.

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Atmospheric corrosion behaviour of 30CrMnSiA high-strength steel in rural, industrial and marine atmosphere environments

Cited by 13 publications

References 32 publications

Atmospheric corrosion prediction: a review

Atmospheric corrosion prediction: a review

Effect of UV Irradiation on the Alternating Wet and Dry Corrosion Behavior of Galvanized Steel in Sodium Chloride Solution

Corrosion behaviour of carbon steel in Beibu Gulf tidal zone

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