Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques

Jiménez‐Come, María Jesús; Muñoz, Enrique; García, Ricardo Hernández; Matres, V.; Martín, M. L.; Vilches, Francisco Javier Trujillo; Turias, Ignacio J.

doi:10.1016/j.jal.2012.07.005

Cited by 28 publications

(19 citation statements)

References 12 publications

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“…Stainless steels are one class of high alloy steel, containing more than a 12 % (Wt) chromium content, and have been widely used in marine applications (Jiménez-Come et al, 2012). This is due to the combination of their advantages, such as acceptable anti-corrosion and mechanical properties.…”

Section: Introductionmentioning

confidence: 99%

The monitoring of pitting corrosion in stainless steel in the simulated corrosive conditions of marine applications

Chowwanonthapunya¹

2019

Marit. Technol. Res.

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KeywordsCorrosion Microstructure Marine application This paper describes the monitoring of pitting corrosion in ferritic and austenitic stainless steel under the simulated acidic conditions of marine applications. The monitoring dealt with corrosion weight loss and metallurgical investigation. The results indicated that stainless steel with passive film shows good corrosion resistance to the simulated corrosive environment for all test periods. In contrast, stainless steel without passive film cannot provide an inhibiting effect for the whole test period. After 24 h. of testing, both of the stainless steels were locally attacked. Pitting corrosion was observed on the surface of both stainless steels. In small pits, selfaccelerating corrosion can occur. Therefore, longer immersion times were attributed to the higher corrosion rates of both stainless steel in simulated acidic conditions.All rights reserved

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Section: Introductionmentioning

confidence: 99%

The monitoring of pitting corrosion in stainless steel in the simulated corrosive conditions of marine applications

Chowwanonthapunya¹

2019

Marit. Technol. Res.

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“…Os aços inoxidáveis austeníticos são conhecidos pela boa resistência à corrosão [15,16]. A resistência à corrosão destes aços é devido à presença de uma película passiva formada na sua superfície, que se trata de uma mistura de óxidos de cromo e de ferro [17][18][19]. Além disso, a adição de molibdênio para aços inoxidáveis austeníticos estabiliza o filme passivo aumentando a resistência à corrosão localizada [20,21].…”

Section: Introductionunclassified

Resistência À Corrosão Dos Aços Aisi 317l E Saf 2304 Em Meio De Glicerina Acidificada Contendo Cloretos

Menezes¹,

Lins²,

Castro³

2019

ABM Proceedings

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ResumoO biodiesel, obtido a partir de um éster e um álcool na presença de um catalisador, é produzido pela reação de transesterificação e tem como coproduto a glicerina. A produção de biodiesel da Petrobras Biocombustível tem, em uma de suas etapas, a lavagem dos produtos para remoção do catalisador básico, metilato de sódio, por meio da reação de neutralização com ácido clorídrico. Devido a essa prática, a glicerina obtida é acidificada e contêm resíduos de cloretos, o que leva à corrosão localizada dos aços utilizados em determinados pontos do processo de produção. Dessa forma, o presente trabalho avaliou a resistência à corrosão do aço austenítico 317L e do aço lean duplex 2304, em meio de glicerina acidificada contendo cloretos. Todas as medidas foram conduzidas a 64ºC, visando simular as condições de operação da empresa. Para o estudo em questão, utilizou-se as técnicas de potencial de circuito aberto (OCP), polarização potenciodinâmica e microscopia eletrônica de varredura (MEV). As análises mostraram que o aço AISI 317L obteve menor potencial de pite que o SAF 2304, logo foi menos resistente. Por meio do MEV foi possível confirmar a presença dos pites, sendo que as cavidades presentes no aço AISI 317L foram mais numerosas e profundas que as observadas no aço SAF 2304. Palavras-chave: Glicerina; Cloreto; Aços inoxidáveis; Polarização potenciodinâmica. CORROSION RESISTANCE OF AISI 317L AND SAF 2304 STEEL IN MEDIUM OF GLYCERIN ACIDIFIED CONTAINING CHLORIDE AbstractBiodiesel and glycerin, obtained from ester and alcohol in presence of a catalyst, are produced by the transesterification reaction. The production of biodiesel by Petrobras Biocombustível has, in one of its stages, the washing of products to remove the basic catalyst, sodium methylate, through the neutralization reaction with hydrochloric acid. Because of this practice, the glycerin obtained is acidified and contain residues of chloride, which leads to localized corrosion of the steel used in certain points of the manufacturing process. Austenitic and lean duplex stainless steels such as AISI 317L and SAF2304 are alternative materials of equipment of biodiesel plant which is in contact with acidified glycerin containing chloride. This work aims to evaluate the pitting corrosion resistance of the AISI 317L stainless steel and the SAF 2304 lean duplex stainless steel in solution of acidified glycerin containing chloride at a service temperature of 337K. For the present study, was used the open circuit potential techniques (OCP), potentiodynamic polarization and scanning electron microscopy (SEM). Analyses showed that steel AISI 317L had lower pitting potential that the SAF in 2304, therefore was less resistant. By SEM it was possible to confirm the presence of pitting in the steels. The cavities present in the steel AISI 317L were more numerous and deeper than those observed in the steel SAF 2304.

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“…Focusing our attention on the pitting corrosion problem of this material, the authors have developed several studies. In a previous work (Jiménez-Come et al, 2012), a model based on ANNs was presented to determine the pitting corrosion status of the material. In this case, the pitting corrosion status was predicted, with environmental conditions considered, in addition to the breakdown potential values obtained from the polarization curves, but without requiring metallographic analysis of the surface.…”

Section: Introductionmentioning

confidence: 99%

“…In this way, the model could automatically distinguish the corrosion status of the material under different environmental conditions. However, comparing both studies (Jiménez-Come et al, 2012;, it can be pointed out that considering the breakdown potential values for predicting pitting corrosion status resulted in a more accurate estimation. Therefore, with the aim to develop a model to predict pitting corrosion status of 316L stainless steel automatically and accurately, a two-stage model based on ANNs is presented in this work.…”

Section: Introductionmentioning

confidence: 99%

A two-stage model based on artificial neural networks to determine pitting corrosion status of 316L stainless steel

2016

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Motivated to reduce the costs incurred by corrosion in material science, this article presents a combined model based on artificial neural networks (ANNs) to predict pitting corrosion status of 316L austenitic stainless steel. This model offers the advantage of automatically determining the pitting corrosion status of the material. In this work, the pitting corrosion status was predicted, with the environmental conditions considered, in addition to the values of the breakdown potential estimated by the model previously, but without having to use polarization tests. The generalization ability of the model was verified by the evaluation using the experimental data obtained from the European project called "Avoiding Catastrophic Corrosion Failure of Stainless Steel". Receiver operating characteristic space, in addition to area under the curve (AUC) values, was presented to measure the prediction performance of the model. Based on the results (0.994 for AUC, 0.980 for sensitivity, and 0.956 for specificity), it can be concluded that ANNs become an efficient tool to predict pitting corrosion status of austenitic stainless steel automatically using this two-stage procedure approach.

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Pitting corrosion behaviour of austenitic stainless steel using artificial intelligence techniques

Cited by 28 publications

References 12 publications

The monitoring of pitting corrosion in stainless steel in the simulated corrosive conditions of marine applications

The monitoring of pitting corrosion in stainless steel in the simulated corrosive conditions of marine applications

Resistência À Corrosão Dos Aços Aisi 317l E Saf 2304 Em Meio De Glicerina Acidificada Contendo Cloretos

A two-stage model based on artificial neural networks to determine pitting corrosion status of 316L stainless steel

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