Study on Atmospheric Corrosion of metal based on Electrochemical Noise

Abstract

In this paper, the atmospheric metal corrosion based on electrochemical noise (EN) technology was studied. Polynomial fitting, windowing fast Fourier transform and Hilbert-Huang transform had been employed to interpret the EN. The morphology and XRD analysis results were compared to explore the atmospheric corrosion behavior of Q235 carbon steel. The results show that the atmospheric corrosion monitoring device can continuously monitor Q235 carbon steel in the atmosphere, and the monitoring results can accurately reflect the noise fluctuation caused by atmospheric corrosion. The time domain spectrogram characterizes five different characteristic spectra of metals. Q235 carbon steel exposure for 45 days, power spectral density (PSD) curve white noise level (W) of voltage noise value is the minimum, Linear slope (k) of PSD value is the maximum, at this time the sample surface corrosion resistance is the worst. According to different corrosion periods of metals, three different characteristics of the time spectrum appear.