<p>This study investigates the influence of exposed surface orientation on the corrosion behavior of an aluminum alloy in a corrosive environment over varying immersion durations. Corrosion characteristics of three distinct surface orientations, top, bottom, and side, were examined using electrochemical techniques including electrochemical noise, electrochemical impedance spectroscopy, and cyclic potentiodynamic polarization methods. Electrochemical noise data were analyzed in time, frequency, and time–frequency domains, with power spectral density calculated via fast Fourier transform, and time–frequency features extracted using wavelet transforms. Further signal characterization was performed using methods such as energy distribution plots, standard deviation of partial signals, and fractal dimension analysis. Surface morphologies were assessed via scanning electron microscopy, revealing distinct pit characteristics associated with each orientation. The top surface showed the greatest resistance to general corrosion, but once its pitting potential was exceeded, it shifted rapidly to localized attack, producing many fine pits with occasional shallow, wide pits. In contrast, the bottom surface exhibited the lowest corrosion resistance, quickly developing severe localized damage dominated by deep, narrow pits, though it displayed a superior ability to repassivate. The side surface displayed intermediate corrosion behavior between the top and bottom orientations. These findings underscore the significant role of surface orientation in determining corrosion behavior of aluminum alloys.</p>

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Effect of Exposed Surface Orientation on Aluminum Alloy Corrosion in Simulated Engine Coolant

  • Akram Hassanpouryouzband,
  • Iraj Ahadzadeh,
  • Batoul Azizi

摘要

This study investigates the influence of exposed surface orientation on the corrosion behavior of an aluminum alloy in a corrosive environment over varying immersion durations. Corrosion characteristics of three distinct surface orientations, top, bottom, and side, were examined using electrochemical techniques including electrochemical noise, electrochemical impedance spectroscopy, and cyclic potentiodynamic polarization methods. Electrochemical noise data were analyzed in time, frequency, and time–frequency domains, with power spectral density calculated via fast Fourier transform, and time–frequency features extracted using wavelet transforms. Further signal characterization was performed using methods such as energy distribution plots, standard deviation of partial signals, and fractal dimension analysis. Surface morphologies were assessed via scanning electron microscopy, revealing distinct pit characteristics associated with each orientation. The top surface showed the greatest resistance to general corrosion, but once its pitting potential was exceeded, it shifted rapidly to localized attack, producing many fine pits with occasional shallow, wide pits. In contrast, the bottom surface exhibited the lowest corrosion resistance, quickly developing severe localized damage dominated by deep, narrow pits, though it displayed a superior ability to repassivate. The side surface displayed intermediate corrosion behavior between the top and bottom orientations. These findings underscore the significant role of surface orientation in determining corrosion behavior of aluminum alloys.