Applications of chemometric tools in corrosion studies

Luciano, Giorgio; Traverso, P.; Letardi, P.

doi:10.1016/j.corsci.2010.05.016

Cited by 28 publications

(17 citation statements)

References 24 publications

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“…Traditionally, the model is established by a systematic alteration of a single factor, while it maintains the other factors to be constant [5]. Nevertheless, the univariate method generally cannot show what will happen if other factors are changed and will lead to a huge number of Available online at http://link.springer.com/journal/40195 experiments [6,7]. Thus, one reasonable way to achieve the quantitative modeling for multivariate is to use chemometric approach [7], which mainly includes two methods: One is pattern recognition, such as principal component analysis (PCA) and artificial neural networks (ANN), and the other is design of experiments (DOE) and response surface methodology (RSM).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, one reasonable way to achieve the quantitative modeling for multivariate is to use chemometric approach [7], which mainly includes two methods: One is pattern recognition, such as principal component analysis (PCA) and artificial neural networks (ANN), and the other is design of experiments (DOE) and response surface methodology (RSM). [7].…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Modeling for Corrosion Behavior in Complex Coupled Environment by Response Surface Methodology

Liu

Zhang

et al. 2015

Acta Metall. Sin. (Engl. Lett.)

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Response surface methodology (RSM) is introduced into corrosion research as a tool to assess the effects of environmental factors and their interactions on corrosion behavior and establish a model for corrosion prediction in complex coupled environment (CCE). In this study, a typical CCE, that is, the corrosion environment of pipelines in gas field is taken as an example. The effects of environmental factors such as chloride concentration, pH value and pressure as well as their interactions on critical pitting temperature (CPT) were evaluated, and a quadratic polynomial model was developed for corrosion prediction by RSM. The results showed that the model was excellent in corrosion prediction with R 2 = 0.9949. CPT was mostly affected by single environmental factor rather than interaction, and among the whole factors, chloride concentration was the most influential factor of CPT.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative Modeling for Corrosion Behavior in Complex Coupled Environment by Response Surface Methodology

Liu

Zhang

et al. 2015

Acta Metall. Sin. (Engl. Lett.)

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“…Chemometrics is defined by the International Union of Pure and Applied Chemistry (IUPAC) as “the science of relating measurements made on a chemical system or process to the state of the system via application of mathematical or statistical methods.” In physics, chemistry, and even in social sciences, multivariate analysis techniques have been widely used. In corrosion, its use is not extensive, and only a few examples can be found in the literature …”

Section: Introductionmentioning

confidence: 99%

“…The LV (few and without correlation) identify underlying causal relationships between X and Y . In the field of corrosion science, several processes have been studied using these tools …”

Section: Introductionmentioning

confidence: 99%

PLS multivariate analysis applied to corrosion studies on reinforced concrete

Monzón

Ramón

Gandía-Romero

et al. 2018

Journal of Chemometrics

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There are few techniques available to calculate the corrosion rate (icorr) of reinforcing steel in concrete structures. This is due not only to a lack of instrumentation but also because it is necessary to take into account that polarization can irreversibly modify the metal surface and can affect the results or the future state of the metal. This is the reason some researchers prefer to test reinforcing steel with reversible techniques. The main objective of this study is to predict the corrosion rate of reinforced concrete using electrochemical methods combined with statistical tools such as multivariate analysis. Using reinforcements embedded in mortar samples, the corrosion rates were determined at different ages using the Tafel method, and values obtained were compared with other techniques: linear polarization resistance (LPR), potentiostatic pulse testing (PPT), and AC electrochemical impedance spectroscopy (EIS). In addition, these values were compared to those obtained using a mixed technique based on partial least squares (PLS). With this technique, we were able to automatically analyze the current data obtained from LPR, PPT, and EIS and to predict the icorr value. The study allows us to conclude that it is possible to obtain reliable icorr values, very close to those obtained with the Tafel method by using PLS combined with PPT or LPR. Furthermore, it presents several advantages, such as being able to directly treat data without requiring an established Stern‐Geary constant (B) for LPR and not having to use an equivalent circuit (EC) in EIS to calculate icorr because only the impedance spectra are necessary.

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“…The chemometric approach is a powerful tool for studying corrosion and protection process. Few works involved the use of experimental designs to understand metals corrosion and inhibition . Among them, do Lago et al .…”

Section: Introductionmentioning

confidence: 99%

Modeling electrochemical surface responses for PANI bronze corrosion protection

Aouadi

Souissi

2016

Surf. Interface Anal.

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Plackett–Burman experimental design was carried out in order to optimize the experimental conditions of polyaniline (PANI) electrodeposition for Cu10Sn bronze alloy corrosion protection in neutral aerated aqueous 0.5 M chloride medium. Seven factors including scan rate, aniline concentration, hydroxyl ions concentration, cycle number, nature of solvent, starting potential, and final potential for the cyclic voltammetry study were considered. The experimental responses were Ecorr, βa, βc, B, Jcorr, Rp, the percentage of protection efficiency and the coatings porosities. A linear mathematical model was applied to estimate the coefficients related to the different experimental responses. The significance of the different factors was evaluated through Pareto analysis. The optimum conditions for PANI electrodeposition were estimated and discussed. PANI coatings were concluded to offer protection efficiency higher than 90% for Cu10Sn bronze alloy. Copyright © 2016 John Wiley & Sons, Ltd.

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Applications of chemometric tools in corrosion studies

Cited by 28 publications

References 24 publications

Quantitative Modeling for Corrosion Behavior in Complex Coupled Environment by Response Surface Methodology

Quantitative Modeling for Corrosion Behavior in Complex Coupled Environment by Response Surface Methodology

PLS multivariate analysis applied to corrosion studies on reinforced concrete

Modeling electrochemical surface responses for PANI bronze corrosion protection

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