<abstract xmlns="http://www.w3.org/1999/xhtml">

Significant corrosion problems in materials related to marine engineering projects are bound to be a threat to overall operational safety and reliability. This paper investigates the influence of corrosion time on the material product film performance and its corrosion resistance, combined with the function integral algorithm. The gray matrix transform, image binarization, and wavelet transform of the function integral algorithm are used to establish the corrosion damage image recognition model and quantify the microscopic characteristics of corrosion damage based on the corrosion morphological features. Through the corrosion damage image recognition model, evaluation and analysis of common marine engineering materials 2205 duplex stainless steel and Q420 steel in chloride ion (Cl−). Test results show that: chloride ion on 2205 duplex stainless steel corrosion resistance 17.89<italic>μ</italic>A cm−2 was the critical point, the higher the concentration played a suppressive effect. Chloride ions on Q420 steel corrosion resistance in lower solutions below 2.23<italic>μ</italic>A cm−2 concentration, Q420 surface product film has a certain protective effect on the substrate. The corrosion characteristic value evaluation results based on the function integration algorithm are consistent with the electrochemical test results, so the evaluation model established in this paper can effectively evaluate the corrosion resistance of the material.
</abstract>

Significant corrosion problems in materials related to marine engineering projects are bound to be a threat to overall operational safety and reliability. This paper investigates the influence of corrosion time on the material product film performance and its corrosion resistance, combined with the function integral algorithm. The gray matrix transform, image binarization, and wavelet transform of the function integral algorithm are used to establish the corrosion damage image recognition model and quantify the microscopic characteristics of corrosion damage based on the corrosion morphological features. Through the corrosion damage image recognition model, evaluation and analysis of common marine engineering materials 2205 duplex stainless steel and Q420 steel in chloride ion (Cl−). Test results show that: chloride ion on 2205 duplex stainless steel corrosion resistance 17.89μA cm−2 was the critical point, the higher the concentration played a suppressive effect. Chloride ions on Q420 steel corrosion resistance in lower solutions below 2.23μA cm−2 concentration, Q420 surface product film has a certain protective effect on the substrate. The corrosion characteristic value evaluation results based on the function integration algorithm are consistent with the electrochemical test results, so the evaluation model established in this paper can effectively evaluate the corrosion resistance of the material.

Evaluation of corrosion resistance of marine engineering materials under function integral algorithm

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Significant corrosion problems in materials related to marine engineering projects are bound to be a threat to overall operational safety and reliability. This...

Evaluation of corrosion resistance of marine engineering materials under function integral algorithm

Online veröffentlicht: 09. Sept. 2023

Seitenbereich: -

Eingereicht: 06. Dez. 2022

Akzeptiert: 20. März 2022

DOI: https://doi.org/10.2478/amns.2023.2.00308

Schlüsselwörter
Marine engineering, Function integral algorithm, Gray matrix, Image binarization, Wavelet transform, Corrosion resistance

© 2023 Luyang Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Evaluation of corrosion resistance of marine engineering materials under function integral algorithm

Online veröffentlicht: 09. Sept. 2023

Seitenbereich: -

Eingereicht: 06. Dez. 2022

Akzeptiert: 20. März 2022

DOI: https://doi.org/10.2478/amns.2023.2.00308

SchlüsselwörterMarine engineering, Function integral algorithm, Gray matrix, Image binarization, Wavelet transform, Corrosion resistance

© 2023 Luyang Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Marine engineering, Function integral algorithm, Gray matrix, Image binarization, Wavelet transform, Corrosion resistance