Preprint Article Version 1 This version is not peer-reviewed

In-Situ Monitoring and Analyzing Pitting Corrosion of Carbon Steel by Acoustic Emission

Version 1 : Received: 5 November 2018 / Approved: 6 November 2018 / Online: 6 November 2018 (08:06:19 CET)

A peer-reviewed article of this Preprint also exists.

Tang, J.; Li, J.; Wang, H.; Wang, Y.; Chen, G. In-Situ Monitoring and Analysis of the Pitting Corrosion of Carbon Steel by Acoustic Emission. Appl. Sci. 2019, 9, 706. Tang, J.; Li, J.; Wang, H.; Wang, Y.; Chen, G. In-Situ Monitoring and Analysis of the Pitting Corrosion of Carbon Steel by Acoustic Emission. Appl. Sci. 2019, 9, 706.

Journal reference: Appl. Sci. 2019, 9, 706
DOI: 10.3390/app9040706

Abstract

The acoustic emission (AE) technique was applied to monitor the pitting corrosion of carbon steel in NaHCO3 + NaCl solutions. The open circuit potential (OCP) measurement and the corrosion morphology in-situ capturing using optical microscope were conducted during AE monitoring. The corrosion micromorphology was characterized with scanning electron microscope (SEM). The propagation behavior and AE features of natural pitting on carbon steel were investigated. After the performing of signal processing including pre-treatment, shape preserving interpolation and denoising for raw AE waveforms, three types of AE signals can be classified in the correlation diagrams of new waveform parameters. Finally, a 2D pattern recognition method was established to calculate the similarity of different continuous AE graphics, which is quite effective to distinguish the localized corrosion from uniform corrosion.

Subject Areas

carbon steel; pitting corrosion; acoustic emission; wavelets; pattern recognition

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