Effects of solution pH and Cl− on electrochemical behaviour of an Aermet100 ultra-high strength steel in acidic environments

Hu, Yifan; Dong, Chaofang; Sun, Mingliang; Xiao, Kui; Zhong, Peng; Li, Yong

doi:10.1016/j.corsci.2011.08.024

Cited by 86 publications

(36 citation statements)

References 43 publications

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“…A broad peak present between 775 and 795 eV in all photoanodes' XPS spectra is ascribed to Fe LMM Auger lines. 42 CoFeO x deposition with three coating sweeps (h/cfox3) is not confirmed by XPS on the top surface of h/cfox3, but confirmed following a direct deposition on solid FTO (Fig. 3b).…”

Section: Resultsmentioning

confidence: 91%

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Role of cobalt–iron (oxy)hydroxide (CoFeO_x) as oxygen evolution catalyst on hematite photoanodes

Zhang

García-Rodríguez

Cameron

et al. 2018

Energy Environ. Sci.

126

101

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Section: Resultsmentioning

confidence: 91%

“…The broad peak present at 785 eV is ascribed to Fe LMM Auger lines. 42 (b) Co 2p XPS spectra (background subtracted) of CoFeO x coated three (green) or thirty times (blue) on FTO coated glass (FTO/cfox3 and FTO/cfox30, respectively).…”

Section: View Article Onlinementioning

confidence: 99%

Role of cobalt–iron (oxy)hydroxide (CoFeO_x) as oxygen evolution catalyst on hematite photoanodes

Zhang

García-Rodríguez

Cameron

et al. 2018

Energy Environ. Sci.

126

101

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“…Figure 10a demonstrated that with a lower pH value, LAS had a higher corrosion rate. This is because the lower pH would generate more hydrogen ions, which can promote more severe dissolution of corrosion products [39]. Therefore, lower pH resulted in more damages to the products, which otherwise can play a protective role for the material [33][34][35].…”

Section: The Effect Of Environmental Factorsmentioning

confidence: 99%

Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

Zhi

Zhang

et al. 2019

Metals

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The objective of this paper is to develop an approach to forecast the outdoor atmospheric corrosion rate of low alloy steels and do corrosion-knowledge mining by using a Random Forests algorithm as a mining tool. We collected the corrosion data of 17 low alloy steels under 6 atmospheric corrosion test stations in China over 16 years as the experimental datasets. Based on the datasets, a Random Forests model is established to implement the purpose of the corrosion rate prediction and data-mining. The results showed that the random forests can achieve the best generalization results compared to the commonly used machine learning methods such as the artificial neural network, support vector regression, and logistic regression. In addition, the results also showed that regarding the effect to the corrosion rate, environmental factors contributed more than chemical compositions in the low alloy steels, but as exposure time increases, the effect of the environmental factors will gradually become less. Furthermore, we give the effect changes of six environmental factors (Cl− concentration, SO2 concentration, relative humidity, temperature, rainfall, and pH) on corrosion with exposure time increasing, and the results illustrated that pH had a significant contribution to the corrosion of the entire process. The paper also dealt with the problem of the corrosion rate forecast, especially for changing environmental factors situations, and obtained the qualitative and quantitative results of influences of each environmental factor on corrosion.

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“…Fe(OH) 2 would be oxidized to FeOOH and Fe 3 O 4 , while FeOOH was unstable and would continue to be oxidized, the reactions were as follow (Hu et al, 2011):…”

Section: The Xps Analysismentioning

confidence: 99%

“…Typical applications are in aerospace connecting fasteners and aircraft landing gear (Imrie, 1970;Munn and Andersson, 1990;Yue et al, 2009). Due to the wide range of aircraft service and complex corrosive environment, especially in industrial marine atmospheres with industrial pollution, high Cl − concentration (Ghods et al, 2010;Hu et al, 2011;Klapper et al, 2013;Chong and Cheung, 2014) and high humidity characteristics (Carmezim et al, 2005;Zou et al, 2014), resistance of PH13-8Mo stainless steel corrosion is especially important for aircraft life and safety.…”

Section: Introductionmentioning

confidence: 99%

Effect of Pre-passivation on the Corrosion Behavior of PH13-8Mo Stainless Steel in Industrial—Marine Atmospheric Environment

Liu

Zhao

et al. 2019

Front. Mater.

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The corrosion behavior and mechanism of PH13-8Mo stainless steel with and without nitric acid passivated film were studied through 5 years of outdoor exposure tests in industry-marine atmospheric environments in Qingdao, by means of morphological observation, weight-loss measurement, X-ray photoelectron spectroscopy (XPS) and Scanning Kelvin Probe (SKP). The results showed that the pre-passivation certainly inhibits the corrosion, but exhibits an obvious limitation of protection period for PH13-8Mo stainless steel in industrial-marine atmosphere. Compared with bare PH13-8Mo steel, the number and depth of pitting of pre-passivated steel were reduced, and the average corrosion rate decreased by 14.7%. The reasons of improved corrosion resistance included the higher ratio of Cr/Fe and oxide/hydroxide, and the more positive and homogeneous Kelvin voltage potential for the surface of outdoor exposed pre-passivated steel. Meanwhile, the pre-passivation film on the Cr-depleted regions caused by the Cr-rich precipitated phase was preferentially destructed in the atmosphere with Cl − , which decreased the protection period.

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Effects of solution pH and Cl− on electrochemical behaviour of an Aermet100 ultra-high strength steel in acidic environments

Cited by 86 publications

References 43 publications

Role of cobalt–iron (oxy)hydroxide (CoFeO_x) as oxygen evolution catalyst on hematite photoanodes

Role of cobalt–iron (oxy)hydroxide (CoFeO_x) as oxygen evolution catalyst on hematite photoanodes

Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

Effect of Pre-passivation on the Corrosion Behavior of PH13-8Mo Stainless Steel in Industrial—Marine Atmospheric Environment

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Effects of solution pH and Cl− on electrochemical behaviour of an Aermet100 ultra-high strength steel in acidic environments

Cited by 86 publications

References 43 publications

Role of cobalt–iron (oxy)hydroxide (CoFeOx) as oxygen evolution catalyst on hematite photoanodes

Role of cobalt–iron (oxy)hydroxide (CoFeOx) as oxygen evolution catalyst on hematite photoanodes

Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

Effect of Pre-passivation on the Corrosion Behavior of PH13-8Mo Stainless Steel in Industrial—Marine Atmospheric Environment

Contact Info

Product

Resources

About

Role of cobalt–iron (oxy)hydroxide (CoFeO_x) as oxygen evolution catalyst on hematite photoanodes

Role of cobalt–iron (oxy)hydroxide (CoFeO_x) as oxygen evolution catalyst on hematite photoanodes