化工学报 ›› 2019, Vol. 70 ›› Issue (10): 3880-3891.DOI: 10.11949/0438-1157.20190479

• 综述与专论 • 上一篇    下一篇

金属腐蚀速度的电化学噪声检测:理论模型研究进展

夏大海1,2(),宋诗哲1   

  1. 1. 天津大学材料科学与工程学院,天津市材料复合与功能化重点实验室,天津300354
    2. 中国科学院金属研究所,中国科学院核用材料与安全评价重点实验室,辽宁 沈阳 110016
  • 收稿日期:2019-05-07 修回日期:2019-07-17 出版日期:2019-10-05 发布日期:2019-10-05
  • 通讯作者: 夏大海
  • 作者简介:夏大海(1984—),男,博士,副教授,dahaixia@tju.edu.cn
  • 基金资助:
    国家自然科学基金项目(51701140);中国科学院核用材料与安全评价重点实验室开放课题(2018NMSAKF01)

Development of theoretical models regarding with electrochemical noise applied in corrosion rate measurement

Dahai XIA1,2(),Shizhe SONG1   

  1. 1. Tianjin Key Laboratory of Composite and Functional Materials, School of Materials Science and Engineering, Tianjin University, Tianjin 300354, China
    2. CAS Key Laboratory of Nuclear Materials and Safety Assessment, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, Liaoning,China
  • Received:2019-05-07 Revised:2019-07-17 Online:2019-10-05 Published:2019-10-05
  • Contact: Dahai XIA

摘要:

金属材料腐蚀速度的测定是评价材料在服役环境中耐蚀性的重要指标。电化学噪声技术由于其原位无损无干扰的优势,用于金属材料的腐蚀监检测的应用已有50多年的历史,可以实现对金属材料在各种环境下的腐蚀速度和腐蚀形态的评估。目前制约电化学噪声技术应用的关键科学问题之一是如何建立理论模型进而得到表征腐蚀速度的特征参数。目前腐蚀速度评价主要采用噪声电阻或谱噪声电阻来表征,但很多情况下2个参数本身缺乏严格的物理意义。本文综述了目前用于金属腐蚀速度定量分析的3种理论模型(电极过程动力学模型、等效电路模型、散粒噪声理论),并深入讨论了每种模型的优缺点,最后指出了该领域的发展方向。

关键词: 电化学噪声, 定量分析, 数据解析, 腐蚀速度, 理论模型

Abstract:

The determination of the corrosion rate of metallic materials is an important indicator for evaluating the corrosion resistance of materials in service environments. However, one of the crucial issues that limit the application of EN is that EN data is not interpreted quantificationally. Quantitative evaluation of corrosion is mainly achieved by noise resistance and spectral noise resistance, with the precondition that they much have rigorous physical significance. This paper reviews several important theoretical models regarding with quantitative analysis, including models based on electrochemical kinetics, equivalent circuit approach, shot noise theory etc. The advantages and drawbacks of each model is discussed in depth. Finally, the future directions in this field are pointed out.

Key words: electrochemical noise, quantitative analysis, data interpretation, corrosion rate, theoretical model

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