Practical Experience with an Electrochemical Technique for Atmospheric Corrosion Monitoring

2009 ◽  
pp. 238-238-18
Author(s):  
V Kucera ◽  
J Gullman
2009 ◽  
Vol 417-418 ◽  
pp. 417-420 ◽  
Author(s):  
Shigenobu Kainuma ◽  
Kunihiro Sugitani ◽  
Yoshihiro Ito ◽  
In Tae Kim

The purpose of this research is to propose a method for evaluating the time-dependent corrosion behavior of carbon steel plates using an atmospheric corrosion monitor (ACM) corrosion sensor consisting of a Fe/Ag-galvanic couple. Atmospheric exposure tests were carried out on steel plates for periods of 6, 12, and 24-months on the island of Okinawa in Japan. The Specimens were mounted on racks at angles of 0, 45 and 90 to the horizontal to obtain corrosion data in various corrosive environments. In addition, the environments of the skyward- and groundward-facing surfaces of the specimens were monitored using ACM sensors. The sensor outputs were recorded during the exposure tests.


2017 ◽  
Vol 32 (6) ◽  
pp. 1433-1440 ◽  
Author(s):  
Dahai Xia ◽  
Shizhe Song ◽  
Weixian Jin ◽  
Jian Li ◽  
Zhiming Gao ◽  
...  

Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1065 ◽  
Author(s):  
Zhuolin Li ◽  
Dongmei Fu ◽  
Ying Li ◽  
Gaoyuan Wang ◽  
Jintao Meng ◽  
...  

An automated corrosion monitor, named the Internet of Things atmospheric corrosion monitor (IoT ACM) has been developed. IoT ACM is based on electrical resistance sensor and enables accurate and continuous measurement of corrosion data of metallic materials. The objective of this research is to study the characteristics of atmospheric corrosion by analyzing the acquired corrosion data from IoT ACM. Employing data processing and data analysis methods to research the acquired corrosion data of steel, the atmospheric corrosion characteristics implied in the corrosion data can be discovered. Comparing the experiment results with the phenomenon of previous laboratory experiment and conclusions of previously published reports, the research results are tested and verified. The experiment results show that the change regulation of atmospheric corrosion data in the actual environment is reasonable and normal. The variation of corrosion depth is obviously influenced by relative humidity, temperature and part of air pollutants. It can be concluded that IoT ACM can be well applied to the conditions of atmospheric corrosion monitoring of metallic materials and the study of atmospheric corrosion by applying IoT ACM is effective and instructive under an actual atmospheric environment.


2014 ◽  
Vol 78 ◽  
pp. 130-137 ◽  
Author(s):  
Ch. Thee ◽  
Long Hao ◽  
Junhua Dong ◽  
Xin Mu ◽  
Xin Wei ◽  
...  

2008 ◽  
Vol 38 ◽  
pp. 163-181 ◽  
Author(s):  
Sean Morefield ◽  
Susan Drozdz ◽  
Vincent F. Hock ◽  
William Abbott

A large scale atmospheric corrosion monitoring test was undertaken for the purpose of characterizing environmental severity. This work was conducted at ground based Army, Navy, Coast Guard, and Air Force sites. At present over 73 sites are in operation. This work adds to the existing worldwide databases to include new military and/or related sites not previously monitored. In addition and to the extent that such data are available, relevant weather data was collected from public or military sources in order to test existing corrosion algorithms for each site. Many of the 1 year exposures have been successfully completed. However, all of the exposures currently in progress will not be completed until early 2008. Sample analyses are in progress. New data have been obtained to show the important effects of sheltering on reducing corrosion rates. Data from Daytona Beach and Tyndall AFB show that even a relatively simple open structure/sunshade can reduce corrosion rates by factors of 2 or 3. New data are being reported on corrosion vs. distance from ocean. Data were also collected for the comparison of corrosion severity among commonly used test sites and within selected sites (multiple locations within a base.)


CORROSION ◽  
10.5006/2234 ◽  
2017 ◽  
Vol 73 (2) ◽  
pp. 199-209 ◽  
Author(s):  
Norikazu Fuse ◽  
Atsushi Naganuma ◽  
Tetsuo Fukuchi ◽  
Jun-ichi Tani ◽  
Yasuhiko Hori

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