Density Functional Theory and Electrochemical Noise Analysis of Corrosion Inhibition Behavior of N,N '-bis(1-(3,5-dihydroxyphenyl)ethylidene)propane-1,3-diamine on Steel in HCl Solution

Danaee, I.; Nikparsa, Paria; Khosravi‐Nikou, Mohammad Reza; Ebrahimi, Hadi; Nikmanesh, S.

doi:10.1134/s2070205119050289

Cited by 9 publications

(2 citation statements)

References 60 publications

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“…This equivalent circuit is extensively reported in the literature. 30,31 The elements related to the circuit are Re representing the electrolyte resistance, Rct as the charge transfer resistance, L as the inductance element, RL as an inductive resistance, Q as the pseudo capacitance and CPE as the constant phase element. Due to the roughness and in homogeneity of the metal surface, as well as adsorption effects, the constant-phase element (CPE) can be used to replace the double-layer capacitance, Cdl.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Anticorrosion action of the olive leaf compounds extracted under optimal parameters as determined with experimental design

Touazi

Bučko

Maizia

et al. 2023

JSCS

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In this study, an agricultural waste product was used to prepare a green corrosion inhibitor based on olive leaves (Olea Europaea Syslvestris). Firstly, an optimization study of antioxidant activity of Olea Europaea Syslvestris leaves monitored by the DPPH free radical trapping method, was carried out using full factorial design. In the second step, the extract obtained under optimal conditions was tested as a green corrosion inhibitor for steel in 0.5 mol dm?3 HCl, using gravimetric and electrochemical methods. The results obtained by various tech-niques showed that the extract acted as a mixed-type inhibitor. The adsorption of the inhibitor was spontaneous (?Gads = ?12.443kJ mol?1), through the mechanism of physical adsorption, and it obeyed the Langmuir adsorption isotherm. The highest corrosion inhibition efficiency of 92 % was obtained for 2.8 10?3 g cm?3of inhibitor, as measured by gravimetric method.

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Section: Accepted Manuscriptmentioning

confidence: 99%

Anticorrosion action of the olive leaf compounds extracted under optimal parameters as determined with experimental design

Touazi

Bučko

Maizia

et al. 2023

JSCS

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“…Generally, the curve fitting algorithm can be used to improve the estimation accuracy. The common curve fitting algorithms include the centroid method, 12 general polynomial fitting, 13 genetic algorithm, 14 and Gaussian nonlinear fitting. 15 The first two methods are simple; however, the demodulation accuracy is low, and the anti-noise performance is poor.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy neural network model to determine axial strain measured by a long-period fiber grating sensor

Shen

et al. 2020

Measurement and Control

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The paper reports an adaptive-network-based fuzzy inference system for the measurement of axial strain using long-period fiber grating sensors. The long-period fiber grating sensor supports optical resonances, which are sensitive to the change of axial strain. The axial strain can be quantified based on the wavelength shift and amplitude changes of the optical resonance. To improve the accuracy of axial strain quantification, this paper proposes the adaptive-network-based fuzzy inference system model. The adaptive-network-based fuzzy inference system model is trained using the strain data measured with long-period fiber grating sensors. The parameters of the membership functions used in the adaptive-network-based fuzzy inference system are set adaptively. In the adaptive-network-based fuzzy inference system–based method, the maximum relative error was found to be 1.5%, which is about one-ninth of that when the data fitting method was used. The R-squared statistics using the adaptive-network-based fuzzy inference system model is 0.9872, while that using the linear fitting algorithm is 0.8815. Compared with the conventional data fitting methods, the proposed approach is highly adaptive and versatile with the capability of improving the accuracy of strain quantification.

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New anti-corrosion inhibitor (3ar,6ar)-3a,6a-di-p-tolyltetrahydroimidazo[4,5-d]imidazole-2,5(1 h,3h)-dithione for carbon steel in 1 M HCl medium: gravimetric, electrochemical, surface and quantum chemical analyses

Berdimurodov

Kholikov

Akbarov

et al. 2020

Arabian Journal of Chemistry

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Density Functional Theory and Electrochemical Noise Analysis of Corrosion Inhibition Behavior of N,N '-bis(1-(3,5-dihydroxyphenyl)ethylidene)propane-1,3-diamine on Steel in HCl Solution

Cited by 9 publications

References 60 publications

Anticorrosion action of the olive leaf compounds extracted under optimal parameters as determined with experimental design

Anticorrosion action of the olive leaf compounds extracted under optimal parameters as determined with experimental design

A fuzzy neural network model to determine axial strain measured by a long-period fiber grating sensor

New anti-corrosion inhibitor (3ar,6ar)-3a,6a-di-p-tolyltetrahydroimidazo[4,5-d]imidazole-2,5(1 h,3h)-dithione for carbon steel in 1 M HCl medium: gravimetric, electrochemical, surface and quantum chemical analyses

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