研究论文

2024-T351铝合金在酸性NaCl溶液中SCC行为的电化学噪声检测

  • 生海;董超芳;杨志炜;肖葵;崔中雨;李晓刚
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  • 1. 北京科技大学腐蚀与防护中心教育部腐蚀与防护重点实验室,北京 100083;2. 中国石油新疆油田分公司油气储运公司,新疆克拉玛依 834000

收稿日期: 2012-03-07

  修回日期: 2012-04-01

  网络出版日期: 2012-04-08

Electrochemical Noise Detection for SCC Behavior for 2024-T351 Aluminium Alloy in Acid NaCl Solution

  • SHENG Hai;DONG Chaofang;YANG Zhiwei;XIAO Kui;CUI Zhongyu;LI Xiaogang
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  • 1. Key Laboratory of Corrosion and Protection, Ministry of Education of China, Corrosion and Protection Center, University of Science and Technology of Beijing, Beijing 100083, China;2. Oil and Gas Storage and Transportation Company, PetroChina Xinjiang Oil Company, Karamay 834000, Xinjiang Uygur Autonomous Region, China

Received date: 2012-03-07

  Revised date: 2012-04-01

  Online published: 2012-04-08

摘要

采用电化学噪声技术对2024-T351铝合金在酸性NaCl溶液中的应力腐蚀开裂过程进行检测,并通过对电流噪声信号进行时域和频域分析,研究裂纹尖端腐蚀行为以及裂纹萌生和扩展过程的电化学噪声特征,并得出裂纹扩展的判断依据。结果表明,在浸泡初期,电流噪声时频谱中的振幅较小,能量主要集中于高频段,表明电极表面主要发生了膜破裂-再钝化等快反应过程,裂纹处于萌生阶段。随着浸泡时间的增加,电流噪声中出现特征峰。此时,低频段能量逐渐增加,表明裂纹进入扩展阶段。通过对电流噪声信号进行小波分解,可以区分应力腐蚀开裂过程中裂纹萌生和扩展的不同阶段。

本文引用格式

生海;董超芳;杨志炜;肖葵;崔中雨;李晓刚 . 2024-T351铝合金在酸性NaCl溶液中SCC行为的电化学噪声检测[J]. 科技导报, 2012 , 30(10) : 18 -23 . DOI: 10.3981/j.issn.1000-7857.2012.10.001

Abstract

The stress corrosion cracking (SCC) behavior of 2024-T351 aluminium alloy in acid NaCl solution was studied by using the electrochemical noise technique. The electrochemical noise signal was recorded during the immersion test of the Wedge Opening Loading (WOL) specimen in the Zero Resistance Ammeter (ZRA) mode. The characteristic parameters were analyzed in time and frequency domains, respectively. The results indicate that SCC process of AA2024-T351 is not continuous. The current noise could be used to analyze the nucleation and propagation processes of SCC. During the nucleation period of SCC, the transient peaks could be observed, which was characterized by the small fluctuation amplitude of the current noise. This implies that the alternating film rupture and re-passivation process is dominant on the specimen surface. With the immersion time increasing, the characteristic peaks are observed. It is indicated that the crack propagation occurs. Meanwhile, the amplitude of the characteristic peaks increases and the periodic character could also be observed. The wavelet decomposition provides a strong tool to distinguish the nucleation and propagation processes of SCC according to the different current energy distribution.
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