Abstract

This paper describes the corrosion behavior of aluminum, copper, and mild steel when exposed to chloride media using both electrochemical noise analysis (ENA) and electrochemical impedance spectroscopy (EIS). Analysis of electrochemical noise (EN) data demonstrated the need for removal of drifts in both potential and current fluctuations. Statistical analysis such as noise resistance, localization index, skewness and kurtosis has been evaluated. Noise resistance showed a good agreement with polarization resistance. Fast Fourier transformation (FFT) has been applied to convert EN data from the time domain to the frequency domain. Spectral noise plots showed a good agreement with impedance spectra for the different alloys determined at the same exposure time. Spectral and statistical analysis can extract useful information from EN data.

Highlights

  • Electrochemical noise is a general term for the random fluctuations in current or potential, which occur as an electrochemical process proceeds

  • Zn was calculated after analysis of electrochemical noise (EN) data in the time domain and showed an agreement with Zp obtained from electrochemical impedance spectroscopy (EIS) analysis

  • The analysis of EN data in the frequency domain are in good agreement with those obtained by EIS

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Summary

Introduction

Electrochemical noise is a general term for the random fluctuations in current or potential, which occur as an electrochemical process proceeds. The measurement of electrochemical noise (EN) for corrosion studies was first described by Iverson in 1968 [1]. At the same time Tyagai examined EN [2] [3]. First studies on EN were carried out using only one working electrode, and this will not allow the measurement of corrosion rate. Eden et al introduced the use of cell with two identical working electrodes connected with a zero resistance ammeter (ZRA) so that it is possible to collect both the current and potential fluctuation simultaneously [4]. The using of two identical electrodes arrangement will allow obtaining the noise resistance (Zn), which is defined as

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