Discrete Wavelet Analysis of Electrochemical Current Noise of a High-Alloy Cast Steel in Sulfuric Acid and Sodium Chloride Solution

M. Mandel, Volodymyr Kietov, L. Krüger
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引用次数: 1

Abstract

The electrochemical current noise signal of a high-alloy cast steel was investigated in a 0.1 M sulfuric acid solution and in a 5 wt.% sodium chloride solution. In the sulfuric acid solution, the current time signal reveals characteristic spikes of high amplitudes. In the chloride containing solution, spontaneous power drops with a subsequent recovery of comparatively low intensity characterize the noise signal. Both noise records were analyzed by the discrete wavelet transform. For the noise signal in the sulfuric acid solution, the received wavelet coefficients exhibit the highest values in the fine scale, which signal the dominance of short-time corrosion events that were attributed to the observed hydrogen bubble evolution. In the chloride containing medium, the signal decomposition by the wavelet analysis reveals the highest coefficients predominantly in the coarse scale, indicating a preferred initiation of corrosion processes of high duration. The subsequent observations by scanning electron microscopy, reveal an attack by micro pitting, which is associated with the noise events.
高合金铸钢在硫酸和氯化钠溶液中电化学电流噪声的离散小波分析
研究了高合金铸钢在0.1 M硫酸溶液和5wt .%氯化钠溶液中的电化学电流噪声信号。在硫酸溶液中,电流时间信号显示出高振幅的特征尖峰。在含氯化物的溶液中,自发的功率下降和随后相对低强度的恢复是噪声信号的特征。用离散小波变换对两种噪声记录进行分析。对于硫酸溶液中的噪声信号,接收到的小波系数在细尺度上表现出最大值,这表明由观察到的氢泡演化引起的短期腐蚀事件占主导地位。在含氯介质中,通过小波分析信号分解发现,最高的系数主要在粗尺度上,表明首选的腐蚀过程起始时间较长。随后通过扫描电子显微镜观察,揭示了微点蚀的攻击,这与噪声事件有关。
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