4.7 Article

Improvement the protection performance of lanolin based temporary coating using benzotriazole and cerium (III) nitrate: Combined experimental and computational analysis

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PROGRESS IN ORGANIC COATINGS
卷 151, 期 -, 页码 -

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ELSEVIER SCIENCE SA
DOI: 10.1016/j.porgcoat.2020.106085

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Organic coatings; Corrosion inhibition; Active protection; Contact angle; Artificial; Neural network; ANFIS

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The study found that loading benzotriazole and Cerium (III) nitrate inhibitors into lanolin solution can enhance the corrosion resistance of eco-friendly lanolin coatings by improving the hydrophobicity and cross-linked structure of the coating surface. Results from electrochemical impedance spectroscopy and salt spray testing showed that the inhibitors doped in the LA coating can increase charge transfer efficiency.
Lanolin as a natural and environmental friendly material, as temporary coating, has been used for corrosion inhibition of steel against aggressive media. The protection efficiency could further have enhanced by the addition of corrosion inhibitors. In this study, effect of the presence of benzotriazole and Cerium (III) nitrate inhibitors loaded into the lanolin solution on the corrosion resistance of an eco-friendly lanolin coating was investigated. The effective impact of corrosion inhibitors on the structure of the lanolin coating was revealed by Fourier Transform Infrared Spectroscopy (FT-IR). The addition of inhibitors into the lanolin film increases the hydrophobicity of the coating surface which was connected to the cross-linked formation. The protection performance and active protection of the fabricated coatings were investigated by electrochemical impedance spectroscopy (EIS) and salt spray testing. The results revealed the positive effect of inhibitors doped in LA coating, which provided a charge transfer of approximately 26 time higher than the neat LA coating. Computational analysis methods like artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) were used to predict the corrosion behavior of fabricated lanolin coatings. The outcome of these methods demonstrated high accuracy for predictability of the models. In order to measure the validity and Performance analysis of constructed models various criteria were utilized such as MSE, MAE and R-2, the result revealing that ANFIS model was more powerful compared to the ANN model in prediction of Eocp and Log (vertical bar Z vertical bar(0.01 Hz)). The effect of input parameters was investigated and also the by applying the ANN- genetic algorithm (GA) the optimized conditions were achieved.

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