Influence of permanganate reduction on CaCO3 crystals' growth on a rotating metal surface

Amzert, Sid Ahmed; Hanini, Salah; Boucherit, Mohamed Nadir

doi:10.1016/j.jcrysgro.2013.07.033

Cited by 2 publications

(4 citation statements)

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“…The pitting potential decreases from +0.620 V vs SCE at 298 K to +0.320 V vs SCE at 343 K. In the cathodic part of the voltammograms, there are disturbances of the cathodic currents at high temperatures. The observed peaks in cathodic currents prove the presence of reduction reactions of permanganate [17]. The analysis by Electrochemical Impedances Spectroscopy (EIS) provides additional information concerning the steel/film/electrolyte system.…”

Section: Resultsmentioning

confidence: 92%

“…At cathodic potentials two kinds of reactions could take place: − The ORR, dependent on the diffusion of oxygen under the effect of stirring speed, according to two mechanisms: 2 electrons at low speed and 4 electrons at high speed. These reactions make the local pH more alkaline [17]. − The successive reduction of permanganate to manganate and hypomanganate takes place according to the reactions [20]:…”

Section: Resultsmentioning

confidence: 99%

“…This oxide is sufficiently conductive; it does not affect the reduction of dissolved oxygen which is necessary for the growth of scale deposits. Despite this, the scale deposits formed in the presence of permanganates are very poorly adherent and also very porous [17].…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Corrosion Inhibition of 316L Stainless Steel by Permanganate Ions in Chloride Solution

Arboui¹,

Amzert²,

Boucherit³

et al. 2021

Bull. Chem. React. Eng. Catal.

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The efficiency of permanganates to inhibit the scale deposit captured the attention for more investigation on their role as corrosion inhibitor. In this article, the effect of permanganate as corrosion inhibitor on 316L stainless steel in NaCl solution is investigated. The potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) have been performed by varying the electrode stirring speed, the concentration of permanganate ions, pH and the temperature. The results show that the permanganate ions increase the cathodic and anodic currents under effect of stirring speed, due to oxygen reduction reaction and the reduction of permanganate ions. Electrochemical results indicate that the deposit of manganese oxide (MnO2) inhibits the pitting corrosion. The inhibition efficiency is up to 98 % for 10−4 mol.dm−3 of permanganate. The temperature reduces the effectiveness of permanganates against pitting corrosion, the pitting potential shifts cathodically from +0.395 V vs. Saturated Calomel Electrode (SCE) at 298 K to +0.275 V vs. SCE at 343 K. Surface morphology of the deposit oxide films and electrode are studied by emission scanning electron microscopy, X-ray diffraction, Fourier transform infrared and Differential Scanning Calorimetry. The analysis of the deposit layer by X-ray diffraction revealed the presence of δ-MnO2 form, with a crystallite size of 3.17 nm. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).

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Section: Resultsmentioning

confidence: 92%

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Corrosion Inhibition of 316L Stainless Steel by Permanganate Ions in Chloride Solution

Arboui¹,

Amzert²,

Boucherit³

et al. 2021

Bull. Chem. React. Eng. Catal.

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“…To prevent its degradation, we studied the inhibition of localized corrosion by a set of chemical reagents, which, for considerations specific to the nuclear installation, had to be efficient, stable and non-toxic. The results obtained enabled us to establish an order of performance for the studied inhibitors, to observe synergistic effects with oxidants such as iodates and to propose prevention solutions (Amzert et al , 2013). However, these proposals remain based on experimental observations where it is very difficult to advance global and inclusive deterministic interpretations.…”

Section: Introductionmentioning

confidence: 99%

Application of machine learning in predicting pitting corrosion – electrochemical data around the open circuit potential

Boucherit

Amzert

Arbaoui

2022

ACMM

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Purpose The purpose of this study is to confirm the idea that observing the electrochemical data of a steel polarized around its open circuit potential can provide insight into its performance against pitting corrosion. To confirm this idea a two-step work was carried out. The authors collected electrochemical data through experiments and exploited them through machine learning by building neural networks capable of predicting the behaviour of the steel against the pitting corrosion. Design/methodology/approach The electrochemical experiments consist in plotting voltammograms of the steel in chemical solutions of various degrees of corrosiveness. For each experiment, the authors observe how the open-circuit potential evolves over a period of 1 min, and following this, the authors observe the current evolution when they impose a potential scan that starts from the open-circuit potential. For each of these situations, the pitting potential Epit is noted. The authors then build different artificial neural networks, which after learning, can, by receiving electrochemical data, calculate a pitting potential Epit′. The performance of the neural networks is evaluated by the correlation of Epit and Epit′. Findings Through this work, different types of networks were compared. The results show that recurrent or convolutional networks can better capture the temporal nature of the input data. Originality/value The results of this work support the idea that the measurable electrochemical data around the free potential of a material can be correlated with its behaviour at more anodic potentials, particularly the initiation of pits.

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Influence of permanganate reduction on CaCO3 crystals' growth on a rotating metal surface

Cited by 2 publications

References 30 publications

Evaluation of Corrosion Inhibition of 316L Stainless Steel by Permanganate Ions in Chloride Solution

Evaluation of Corrosion Inhibition of 316L Stainless Steel by Permanganate Ions in Chloride Solution

Application of machine learning in predicting pitting corrosion – electrochemical data around the open circuit potential

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