A Study on Atmospheric Corrosion of 304 Stainless Steel in a Simulated Marine Atmosphere

Lv, Wangyan; Pan, Chen; Su, Wei; Wang, Zhenyao; Liu, Shinian; Wang, Chuan

doi:10.1007/s11665-015-1544-8

Cited by 29 publications

(8 citation statements)

References 18 publications

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“…At the early stage, the corrosion rate is relatively high. As the corrosion products accumulate on the metal surface, the corrosion rate gradually slows down and tends to be constant (Barton 1976;Cui et al 2015;ISO 2012b;Lv et al 2015). At the same time, under different environmental conditions, the protective effect of corrosion products and the long-term corrosion kinetic law is quite different (Panchenko et al 2014).…”

Section: Introductionmentioning

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: Introductionmentioning

confidence: 99%

Atmospheric corrosion prediction: a review

Cai

Zhao

et al. 2020

Corrosion Reviews

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“…2 The composition of deposited aerosols varies with the studied area. 1,3,4 However, most work on chloride salts to date has focused either on single salts such as MgCl 2 [5][6][7][8] and NaCl, [9][10][11] or artificial sea water. 5,12 For 304 and 403 stainless steel, pitting was more likely to take place under artificial sea water than MgCl 2 droplets.…”

mentioning

confidence: 99%

Effect of Mixed Salts on Atmospheric Corrosion of 304 Stainless Steel

Guo

Mohammed-Ali

et al. 2019

J. Electrochem. Soc.

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Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document. When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.

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“…It is agreed that the maximum pit depth formed on the surface of stainless steel is closely related to the safety of stainless steel in service [49]. Therefore, statistical analysis was carried out to analyze the relationship between the maximum pit depth and the corrosion time.…”

Section: Effect Of Mgcl 2 On the Corrosion Behavior Of 304mentioning

confidence: 99%

Corrosion Behavior of 304 Stainless Steel Exposed to a Simulated Salt Lake Atmosphere

Guo

Yin

Liu

et al. 2020

Acta Metall. Sin. (Engl. Lett.)

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The corrosion behavior of stainless steel exposed to a simulated salt lake atmosphere has been investigated by analyzing the evolution of surface morphologies and corrosion products, the initiation and development of pits, and the electrochemical characteristics. The results indicated that (Mg 6 Fe 2 (OH) 16 (CO 3 )(H 2 O) 4.5 ) 0.25 , a layered double hydroxide, has been detected for the first time in the corrosion products formed on stainless steel exposed to a simulated salt lake atmosphere. The specimens exposed to MgCl 2 deposit conditions were corroded more severely than those exposed to NaCl deposit conditions, which was attributed to the differences in the deliquescence relative humidity and efflorescence relative humidity values of MgCl 2 and NaCl. In addition, a special corrosion morphology consisting of a concentric circle of yellowish material was observed on the specimens exposed to MgCl 2 deposit conditions, which was attributed to the formation of Mg(OH) 2 , inhibiting the diffusion and migration of OH − ions to the anode region. The maximum pit depth followed a power function with respect to corrosion time. The corrosion mechanism of stainless steel exposed to a simulated salt lake atmosphere is also discussed.

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A Study on Atmospheric Corrosion of 304 Stainless Steel in a Simulated Marine Atmosphere

Cited by 29 publications

References 18 publications

Atmospheric corrosion prediction: a review

Atmospheric corrosion prediction: a review

Effect of Mixed Salts on Atmospheric Corrosion of 304 Stainless Steel

Corrosion Behavior of 304 Stainless Steel Exposed to a Simulated Salt Lake Atmosphere

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