TY - JOUR
T1 - Review on Corrosion Test Methods and Evaluation Techniques for Materials in Atmospheric Environment
AU - Yang, Xiaojia
AU - Li, Qing
AU - Cheng, Xuequn
AU - Li, Xiaogang
N1 - Publisher Copyright:
© 2022, Chinese Society of Corrosion and Protection. All rights reserved.
PY - 2022/6/1
Y1 - 2022/6/1
N2 - In this article, the research progress of atmospheric corrosion test methods is reviewed, namely atmospheric corrosion accelerating test method, atmospheric corrosion electrochemical test meth¬od and atmospheric corrosion monitoring and detecting technology. Among the atmospheric corrosion ac¬celeration 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.
AB - In this article, the research progress of atmospheric corrosion test methods is reviewed, namely atmospheric corrosion accelerating test method, atmospheric corrosion electrochemical test meth¬od and atmospheric corrosion monitoring and detecting technology. Among the atmospheric corrosion ac¬celeration 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.
KW - Accelerating corrosion experimental
KW - Big data
KW - Electrochemical experimental methods
KW - Monitoring technology
UR - https://www.scopus.com/pages/publications/85125952449
U2 - 10.11902/1005.4537.2021.115
DO - 10.11902/1005.4537.2021.115
M3 - 文章
AN - SCOPUS:85125952449
SN - 1005-4537
VL - 42
SP - 447
EP - 457
JO - Journal of the Chinese Society of Corrosion and Protection
JF - Journal of the Chinese Society of Corrosion and Protection
IS - 3
M1 - 1005-4537(2022)03-0447-11
ER -