材料大气环境腐蚀试验方法与评价技术进展  

Review on Corrosion Test Methods and Evaluation Techniques for Materials in Atmospheric Environment

作　　者：徐迪 杨小佳 李清 程学群 李晓刚[1,2] XU Di;YANG Xiaojia;LI Qing;CHENG Xuequn;LI Xiaogang(Institute for Advanced Materials and Technology,University of Science and Technology Beijing,Beijing 100083,China;National Materials Corrosion and Protection Scientific Data Center,University of Science and Technology Beijing,Beijing 100083,China)

机构地区：[1]北京科技大学新材料技术研究院,北京100083 [2]北京科技大学国家材料腐蚀与防护科学数据中心,北京100083

出　　处：《中国腐蚀与防护学报》2022年第3期447-457,共11页Journal of Chinese Society For Corrosion and Protection

基　　金：国家重点研发计划(2021YFB3701701);国家自然科学基金(52171063)。

摘　　要：从大气腐蚀加速试验方法、大气腐蚀电化学方法及大气腐蚀监检测技术对大气腐蚀试验方法进行了综述。大气腐蚀加速试验中,多因子循环复合腐蚀试验已经成为模拟大气腐蚀加速试验的主要发展方向;同时,随着电化学方法空间分辨率的提升,大气腐蚀电化学方法也从宏观电化学技术向微区电化学技术延伸;另外,随着物联网及计算机技术的发展,基于数据挖掘及机器学习等现代化的数据处理技术也在大气腐蚀监检测技术中得到了应用。In this article, the research progress of atmospheric corrosion test methods is reviewed,namely atmospheric corrosion accelerating test method, atmospheric corrosion electrochemical test method and atmospheric corrosion monitoring and detecting technology. Among the atmospheric corrosion acceleration test methods, the multi-factor cyclic corrosion test has become the main development direction of simulated atmospheric corrosion acceleration tests. At the same time, due to the improvement of the spatial resolution, the electrochemical test methods for atmospheric corrosion have also been extended from macroscopic electrochemical technology to micro-area electrochemical technology. In addition, with the development of the Internet of Things and computer technology, modern data processing technology based on data mining and machine learning has also been applied in atmospheric corrosion monitoring and testing technology.

关 键 词：加速腐蚀试验 电化学方法 监测技术 大数据 

分 类 号：TG174[金属学及工艺—金属表面处理]