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Rapid Evaluation of Conversion Coating Degradation Using Automated Scanning Electrochemical Microscopy Approach

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Automated scanning electrochemical microscopy (SECM) quantifies corrosion on aluminum alloys. This high-throughput method rapidly detects degradation sites by analyzing electron transfer kinetics from tip approach curves.

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Area of Science:

  • Electrochemistry
  • Materials Science
  • Corrosion Science

Background:

  • Conversion coatings on aluminum alloys are crucial for corrosion resistance.
  • Early detection of coating degradation is essential for preventing structural failure.
  • Conventional scanning electrochemical microscopy (SECM) mapping can be time-consuming.

Purpose of the Study:

  • To develop and validate a high-throughput automated SECM method for quantifying electron transfer kinetics.
  • To detect and characterize active corrosion sites on conversion coated aluminum alloys.
  • To evaluate local conversion coating degradation using SECM approach curves.

Main Methods:

  • Automated tip approach curves were employed using an ultramicroelectrode (UME) tip.
  • AA2024-T3 samples with Zr-based conversion coatings were analyzed.
  • An accelerated activation treatment was used to enhance feedback contrast for early degradation detection.

Main Results:

  • Heterogeneous degradation was quantified by variations in electron transfer kinetics.
  • Automated SECM approach curves provided rapid and remote detection of degradation sites.
  • The method achieved spatial resolution comparable to SECM imaging for degradation site detection.

Conclusions:

  • Automated SECM approach curves offer a fast, quantitative method for evaluating conversion coating degradation.
  • This technique overcomes limitations of conventional SECM mapping for detecting active corrosion sites.
  • The approach enables high-throughput characterization and remote monitoring of coating integrity.