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首页> 外文期刊>International Journal of Electrochemical Science >Electrochemical Noise Analysis of Corrosion Behavior of Stainless Steel 304 Exposed in NaCl and FeCl3 solutions.
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Electrochemical Noise Analysis of Corrosion Behavior of Stainless Steel 304 Exposed in NaCl and FeCl3 solutions.

机译：NaCl和FeCl 3 溶液中暴露的304不锈钢腐蚀行为的电化学噪声分析。

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Electrical parameters such as charge of the event (q), characteristic frequency (fn) and impedance (Zn) obtained from shot-noise theory have been proposed as indicators of the initiation of pitting corrosion, and have played an important role in the construction of corrosion patterns which are a good approximation to examine the evolution of corrosion type in metals and its alloys. Therefore, in this research paper, Electrochemical Noise (EN) signals (potential and current noise data) have been collected from AISI 304 stainless steel exposed to chloride solution to evaluate the pitting corrosion behavior. The electrochemical tests were carried out at standard condition during 24 hours of exposure in two chlorine solutions (NaCl and FeCl3). Noise data analysis was mathematical treated by wavelet transform in order to identify the low frequencies that lead the calculation of q, fn, and Zn to plot the corrosion behavior and this was correlated with the Energy Distribution Plots (EDP) and metallographic images. The results of all the time series evaluated reveals a concordance in scale of EDP with the initiation and the growth of pitting.
机译：从散粒噪声理论获得的诸如事件的电荷（q），特征频率（fn）和阻抗（Zn）之类的电参数已被提议作为点蚀的开始指标，并且在腐蚀过程中起着重要作用。腐蚀模式非常适合检验金属及其合金中腐蚀类型的演变。因此，在本研究论文中，已从暴露于氯化物溶液的AISI 304不锈钢收集了电化学噪声（EN）信号（电位和电流噪声数据）以评估点蚀行为。电化学测试是在两种氯溶液（NaCl和FeCl3）中暴露24小时的标准条件下进行的。噪声数据分析通过小波变换进行数学处理，以识别导致q，fn和Zn计算的低频，以绘制腐蚀行为图，并将其与能量分布图（EDP）和金相图像相关联。评估的所有时间序列的结果表明，EDP的规模与点蚀的产生和增长是一致的。

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