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Measuring the atmospheric corrosion of Q235B and T91 steels using gray value, wavelet analysis and fuzzy Kolmogorov–Sinai entropy

Li-Xiang Wang (Tianjin Key Laboratory of Composite and Functional Materials, School of Materials Science and Engineering, Tianjin University, Tianjin, People’s Republic of China)
Da-Hai Xia (Tianjin Key Laboratory of Composite and Functional Materials, School of Materials Science and Engineering, Tianjin University, Tianjin, People’s Republic of China)
Shi-Zhe Song (Tianjin Key Laboratory of Composite and Functional Materials, School of Materials Science and Engineering, Tianjin University, Tianjin, People’s Republic of China)
Yashar Behnamian (Department of Chemical and Material Engineering, University of Alberta, Edmonton, Canada)
Likun Xu (State Key Laboratory for Marine Corrosion and Protection, Luoyang Ship Material Research Institute, Qingdao, People’s Republic of China)

Anti-Corrosion Methods and Materials

ISSN: 0003-5599

Article publication date: 9 August 2019

Issue publication date: 22 August 2019

Abstract

Purpose

This paper aims to quantify atmospheric corrosion by image analyses. The corrosion extent, form and distribution of corrosion product on Q235B and T91 steels exposed to a Zhoushan marine atmosphere over one year are characterized by image analysis.

Design/methodology/approach

Image analysis of corrosion images were achieved using the gray value, wavelet analysis and fuzzy Kolmogorov–Sinai (K–S) entropy.

Findings

As corrosion becomes extensive, the gray value of corrosion images decreases, and the energy value of nine subimages after wavelength decomposition decreases. Fuzzy K–S entropy increases as localized corrosion propagates but decreases as uniform corrosion spreads.

Originality/value

The methods proposed in this work open a new way for fast corrosion evaluation of metallic materials exposed to atmospheric conditions.

Keywords

Acknowledgements

The authors wish to acknowledge the financial support of the National Natural Science Foundation of China (No. 51701140) and the National Key Research and Development Program of China (2016YFE0205700).

Citation

Wang, L.-X., Xia, D.-H., Song, S.-Z., Behnamian, Y. and Xu, L. (2019), "Measuring the atmospheric corrosion of Q235B and T91 steels using gray value, wavelet analysis and fuzzy Kolmogorov–Sinai entropy", Anti-Corrosion Methods and Materials, Vol. 66 No. 5, pp. 621-630. https://doi.org/10.1108/ACMM-04-2019-2107

Publisher

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Emerald Publishing Limited

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