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Electrochemical noise monitoring of the atmospheric corrosion of steels: identifying corrosion form using wavelet analysis

机译:钢大气腐蚀的电化学噪声监测:使用小波分析识别腐蚀形式

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摘要

The early stage atmospheric corrosion of T91 and Q235B steels exposed to Tianjin's urban atmosphere over 20 days was studied using two electrochemical probes via an electrochemical noise (EN) technique. To identify the corrosion process and the corrosion form of the two steels, EN data were analysed by statistics and wavelet transform. The results revealed that the wavelet energy of decomposed EN mainly located at high-frequency level for Q235B steel, whereas it mainly located at the low-frequency level for T91 steel. Analyses of surface images confirmed that Q235B steel underwent uniform corrosion whereas T91 steel suffered from localised corrosion. The obtained noise resistance correlated well with weight loss data.
机译:通过电化学探针(Zh)技术,研究了T91和Q235B钢的早期大气腐蚀,通过电化学噪声(Zh)技术,使用两种电化学探针研究了20天。 为了识别两个钢的腐蚀过程和腐蚀形式,通过统计和小波变换分析了EN数据。 结果表明,分解的小波能量主要位于Q235B钢的高频电平,而主要位于T91钢的低频电平。 表面图像的分析证实了Q235B钢的均匀腐蚀性,而T91钢遭受局部腐蚀。 所获得的抗噪声与减肥数据相关。

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