文献类型：会议论文

英文题名：Study on Atmospheric Corrosion of metal based on Electrochemical Noise

作者：Hu, Huanhuan[1]; Hu, Jiezhen[2]; Yu, Wenchang[1]

机构：[1] School of Big Data and Artificial Intelligence, Chizhou University, Chizhou, 247100, China; [2] School of Mechanical and Power Engineering, Guangdong Ocean University, Zhanjiang, 524000, China

会议论文集：Proceedings - 2022 21st International Symposium on Distributed Computing and Applications for Business Engineering and Science, DCABES 2022

会议日期：October 14, 2022 - October 18, 2022

会议地点：Chizhou, China

语种：英文

外文关键词：Atmospheric corrosion - Corrosion resistance - Corrosive effects - Electrochemical corrosion - Fast Fourier transforms - Morphology - Spectral density - Steel corrosion - Time domain analysis - White noise

外文摘要：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. ? 2022 IEEE.