4.7 Article

Direct observation of pitting corrosion evolutions on carbon steel surfaces at the nano-to-micro-scales

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SCIENTIFIC REPORTS
卷 8, 期 -, 页码 -

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NATURE PUBLISHING GROUP
DOI: 10.1038/s41598-018-26340-5

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资金

  1. National Science Foundation (CAREER Award) [1253269, CMMI: 1401533]
  2. Yara Industrial Nitrates
  3. U.S. Department of Energy's Nuclear Energy University Program [DE-NE0008398]
  4. U.S. Department of Transportation through the Federal Highway Administration [DTFH61-13-H-00011]
  5. Laboratory for the Chemistry of Construction Materials (LC2)
  6. Molecular Instrumentation Center (MIC) at UCLA
  7. Div Of Civil, Mechanical, & Manufact Inn
  8. Directorate For Engineering [1401533] Funding Source: National Science Foundation

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The Cl--induced corrosion of metals and alloys is of relevance to a wide range of engineered materials, structures, and systems. Because of the challenges in studying pitting corrosion in a quantitative and statistically significant manner, its kinetics remain poorly understood. Herein, by direct, nano-to micro-scale observations using vertical scanning interferometry (VSI), we examine the temporal evolution of pitting corrosion on AISI 1045 carbon steel over large surface areas in Cl--free, and Cl--enriched solutions. Special focus is paid to examine the nucleation and growth of pits, and the associated formation of roughened regions on steel surfaces. By statistical analysis of hundreds of individual pits, three stages of pitting corrosion, namely, induction, propagation, and saturation, are quantitatively distinguished. By quantifying the kinetics of these processes, we contextualize our current understanding of electrochemical corrosion within a framework that considers spatial dynamics and morphology evolutions. In the presence of Cl- ions, corrosion is highly accelerated due to multiple autocatalytic factors including destabilization of protective surface oxide films and preservation of aggressive microenvironments within the pits, both of which promote continued pit nucleation and growth. These findings offer new insights into predicting and modeling steel corrosion processes in mid-pH aqueous environments.

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