Mitigation of corrosion of carbon steel in acid medium using some antipyrine derivatives

Fouda, El-Aziz; El-Maksoud, Abd; El-Salam, A. M. Abd

doi:10.5937/zasmat1701005f

Cited by 6 publications

(1 citation statement)

References 31 publications

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“…Numerous inhibitors in utilized are either synthesized from cheap raw material or chosen from composite having heteroatoms in their aromatic or long-chain carbon system [3][4]. The studies prove that the inhibition influence of these organic composite occurring by its adsorption on surface of MS. Organic heterocyclic composite have utilized for the corrosion inhibition of carbon steel (CS) [5][6][7][8][9][10][11][12][13], copper [14], aluminum [15][16][17], and other metals [18,19] in various aqueous solution. The drug adsorbed assisted to protect the metal surface [20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Esomeprazole Magnesium Trihydrate drug as a potential non-toxic corrosion inhibitor for mild steel in acidic media

El-Aziz¹,

Ibrahem²,

Awad³

2019

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The inhibiting effect of Esomeprazole Magnesium Trihydrate drug on the corrosion of mild steel (MS) in 1 M HCl was performed by chemical tests (weight loss (WL)) and electrochemical methods (Tafel polarization (TP), electrochemical frequency modulation (EFM) and AC impedance spectroscopy (EIS)). The adsorption isotherm of Esomeprazole Magnesium Trihydrate drug on the MS surface was found to follow Temkin adsorption isotherm. Some thermodynamic parameters were computed and discussed. The obtained data showed that the inhibition efficiency (IE) rises with increasing the dose of the Esomeprazole Magnesium Trihydrate and with raising the temperature. The morphology of MS surface was analyzed by using scanning electron microscope (SEM), atomic force microscopy (AFM), and Fourier transforms infrared spectroscopy (FTIR) techniques. All test methods were in good agreement with each other.

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Section: Introductionmentioning

confidence: 99%

Esomeprazole Magnesium Trihydrate drug as a potential non-toxic corrosion inhibitor for mild steel in acidic media

El-Aziz¹,

Ibrahem²,

Awad³

2019

Zaštita materijala

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Synergism of Computational Simulation Technique and Machine Learning Algorithm for Prediction of Anticorrosion Properties of Some Antipyrine Derivatives

Ekeocha,

Uzochukwu,

Onyeachu

et al. 2024

J. Phys. Chem. A

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This study aimed to predict the selected antipyrine compounds' inhibitory efficiencies and anticorrosion properties in a hydrochloric acid (HCl) environment. Molecular descriptors and input variables were obtained using density functional theory (DFT), and the variance inflation factor (VIF) was employed to reduce redundant variables, leading to the selection of seven quantum chemical descriptors as input variables. Using machine learning techniques such as K-nearest neighbor (KNN) and artificial neural network (ANN), a predictive model was built for 39 antipyrine compounds with known corrosion inhibition efficiencies for carbon and low alloy steel in hydrochloric acid solutions. The models' predictive capability was assessed using cross-validation, with the ANN model showing superior performance, achieving a coefficient of determination (R 2 ) value of 0.715 compared to 0.548 for the KNN model. Performance metrics such as the mean square error (MSE), mean absolute error (MAE), and root-mean-square error (RMSE) further confirmed the superiority of the ANN model over the KNN model. The corrosion inhibition efficiencies (CIEs) of the selected antipyrine compounds ranged from 68.78 to 99.79%, with compound A1 demonstrating the highest CIE of 99.79% and compound A3 the lowest, as evaluated by the ANN model. Analysis of Fukui index parameters obtained from the Mulliken population analysis suggested that the nucleophilic and electrophilic sites play a crucial role in the interactions between the inhibitor and the metal atom through electron donor−acceptor interactions. Moreover, the energy of adsorption (E ads ) in kcal•mol −1 decreased in the order of A1 (−187.8) > A2 (−132.0) > A2 (−84.4), with the high negative value of E ads indicating strong and spontaneous adsorption. Further analysis using radial distribution functions and molecular dynamics simulations revealed that inhibitor A1 exhibited predominantly chemisorption, inhibitor A2 showed a mixed type, and inhibitor A3 demonstrated predominantly physisorption, aligning well with the results of the predictive studies.

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Corrosion investigations of P235 carbon steel in deionized water

Vrsalović¹,

Gudić²,

Ugrin³

2019

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Mitigation of corrosion of carbon steel in acid medium using some antipyrine derivatives

Abstract: Adsorption and inhibition efficiency of some antipyrine derivatives on the C-steel (CS) in 1M HCl were estimated using three electrochemical techniques (electrochemical impedance spectroscopy (EIS), electrochemical frequency modulation (EFM) and potentiodynamic polarization

Cited by 6 publications

References 31 publications

Esomeprazole Magnesium Trihydrate drug as a potential non-toxic corrosion inhibitor for mild steel in acidic media

Esomeprazole Magnesium Trihydrate drug as a potential non-toxic corrosion inhibitor for mild steel in acidic media

Synergism of Computational Simulation Technique and Machine Learning Algorithm for Prediction of Anticorrosion Properties of Some Antipyrine Derivatives

Corrosion investigations of P235 carbon steel in deionized water

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