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自然时效Al-Mg-Si挤压型材的点蚀

Pitting Corrosion of Natural Aged Al⁻Mg⁻Si Extrusion Profile.

作者信息

Guan Quanmei, Sun Jing, Wang William Yi, Gao Junfeng, Zou Chengxiong, Wang Jun, Tang Bin, Kou Hongchao, Wang Haisheng, Hou Jianying, Gao Jun, Ma Jijun, Li Jinshan

机构信息

CRRC Tangshan Co., LTD, Tangshan 063035, China.

State Key Laboratory of Solidification Processing, Northwestern Polytechnical University, Xi'an 710072, China.

出版信息

Materials (Basel). 2019 Apr 2;12(7):1081. doi: 10.3390/ma12071081.

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.

摘要

随着高速铁路的快速发展以及中国铁路高速(CRH)系列列车近十年的运营,其中一项最大的挑战是在环境条件下对这些列车进行管理/维护。估计点蚀损伤的起始和累积并建立相应的数据库对于支持交互式腐蚀风险管理的基础至关重要。在这项工作中,对一种自然时效的商用6005A-T6铝挤压型材进行了200天的点蚀腐蚀综合研究。通过原位涡流常规识别不均匀的微观结构,以此确定制备样品的研究区域。在3.5 wt% NaCl溶液中持续浸泡240小时后,通过光学显微镜(OM)和三维光学轮廓仪(OP)捕获并测量点蚀的形状和深度,从而提供均匀点蚀腐蚀的详细量化数据。由析出物分布主导的点蚀典型特征包括铝基体的周边溶解、沟道腐蚀、晶间侵蚀以及晶粒内的大尺寸点蚀。由于粗晶粒中由合金元素构成的连续阳极和阴极颗粒密度高,粗晶粒中的点蚀数量最多,而细晶粒中的点蚀数量最少,这表明细晶粒具有最佳的耐腐蚀性。点蚀深度的实验数据集及其相应的微观结构将为进一步模拟点蚀深度和剩余延展性设定基准,以便管理材料的损伤容限。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f33/6480220/6015a12f3411/materials-12-01081-g001.jpg

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