Eddy current and inspection of coatings for storage tanks | Zendy

Marcella Grosso | Zendy; Clara Johanna Pacheco | Zendy; Mónica P. Arenas | Zendy; Andre H. Mascarenhas Lima | Zendy; Isabel Margarit | Zendy; Sérgio Damasceno Soares | Zendy; Gabriela Ribeiro Pereira | Zendy

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Eddy current and inspection of coatings for storage tanks

Author(s) -

Marcella Grosso,

Clara Johanna Pacheco,

Mónica P. Arenas,

Andre H. Mascarenhas Lima,

Isabel Margarit,

Sérgio Damasceno Soares,

Gabriela Ribeiro Pereira

Publication year - 2018

Publication title -

journal of materials research and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.832

H-Index - 44

eISSN - 2214-0697

pISSN - 2238-7854

DOI - 10.1016/j.jmrt.2018.05.006

Subject(s) - materials science , eddy current , corrosion , eddy current testing , petrochemical , oxide , nondestructive testing , carbon steel , work (physics) , image processing , metallurgy , storage tank , current (fluid) , composite material , forensic engineering , mechanical engineering , image (mathematics) , computer science , electrical engineering , artificial intelligence , engineering , medicine , radiology , environmental engineering

The aim of this work is to make a survey of typical flaws presented by modern anticorrosive coatings commonly employed for inside protection of petrochemicals storage tanks and discuss what can be expected from nondestructive inspection with conventional eddy current technique. In this sense, advantages and limitations of the method are discussed taking into account the characteristics of the coatings. Controlled defects were machined in carbon steel substrates in order to simulate localized corrosion. The detectability of the eddy current technique was evaluated for as-applied insulating coatings (with different thicknesses) in presence and absence of iron oxide inside the simulated corrosion defects. Comparing the results obtained with the original C-Scan maps and after the image processing, the machined defects were successfully detected. In this comparison, it was observed a significant improvement for the false defects elimination using image processing.

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