AI Article Synopsis

  • The rapid development of high-speed railways necessitates effective train maintenance, especially in challenging environmental conditions, focusing on managing pitting corrosion.
  • A study on the pitting corrosion of a commercial aluminum profile demonstrated that factors like microstructure, precipitate distribution, and immersion in saltwater significantly influence corrosion patterns.
  • The findings suggest that finer grains in the aluminum alloy exhibit better corrosion resistance, providing critical data for future modeling of material durability and damage tolerance.

Article Abstract

With the quick development of the high-speed railway and the service of the China Railway High-speed (CRH) series for almost a decade, one of the greatest challenges is the management/maintenance of these trains in environmental conditions. It is critical to estimate pitting damage initiation and accumulation and set up a corresponding database in order to support the foundations for interactive corrosion risk management. In this work, the pitting corrosion of a nature-aged commercial 6005A-T6 aluminum extrusion profile for 200 days was studied comprehensively. The heterogeneous microstructures were conventionally identified by the in situ eddy current, suggesting which investigated regions to fabricate samples for. After constant immersion for 240 h in 3.5 wt % NaCl, the shapes and depths of the pits were captured and measured by optical microscope (OM) and three-dimensional optical profilometry (OP), providing detailed quantification of uniform pitting corrosion. The typical features of the pits dominated by the distribution of precipitates include the peripheral dissolution of the Al matrix, channeling corrosion, intergranular attack, and large pits in the grains. Due to the high density of continuous anodic and cathodic particles constituted by alloying elements in coarse grains, the number of pits in the coarse grains was the highest while the number in the fine grains was the lowest, indicating that fine grains have the best corrosion resistance. The experimental dataset of the pit depth integrated with its corresponding microstructure would set the benchmark for further modeling of the pit depth and the remaining ductility, in order to manage the damage tolerance of the materials.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480220PMC
http://dx.doi.org/10.3390/ma12071081DOI Listing

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