Long-term atmospheric corrosion monitoring

AbstractIn this work, the atmospheric corrosion of carbon steels was monitored at six different sites (and hence, atmospheric conditions) using Fe/Cu-type atmospheric corrosion monitoring technology over a period of 12 months. After analyzing over 3 million data points, the sensor data were interpretable as the instantaneous corrosion rate, and the atmospheric “corrosivity” for each exposure environment showed highly dynamic changes from the C1 to CX level (according to the ISO 9223 standard). A random forest model was developed to predict the corrosion rate and investigate the impacts of ten “corrosive factors” in dynamic atmospheres. The results reveal rust layer, wind speed, rainfall rate, RH, and chloride concentration, played a significant role in the corrosion process.

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Evaluation Method for Time-Dependent Corrosion Behavior of Carbon Steel Plate Using Atmospheric Corrosion Monitoring Sensor

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.417-418.417 ◽

2009 ◽

Vol 417-418 ◽

pp. 417-420 ◽

Cited By ~ 2

Author(s):

Shigenobu Kainuma ◽

Kunihiro Sugitani ◽

Yoshihiro Ito ◽

In Tae Kim

Keyword(s):

Carbon Steel ◽

Corrosion Behavior ◽

Atmospheric Corrosion ◽

Evaluation Method ◽

Steel Plates ◽

Time Dependent ◽

Corrosion Monitoring ◽

Corrosion Sensor ◽

Atmospheric Exposure ◽

Corrosive Environments

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.

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Long term atmospheric corrosion in Mauritius

Corrosion Engineering Science and Technology ◽

10.1179/1743278214y.0000000240 ◽

2014 ◽

Vol 50 (2) ◽

pp. 155-159 ◽

Cited By ~ 7

Author(s):

B. Y. R. Surnam ◽

C. W. Chiu ◽

H. P. Xiao ◽

H. Liang

Keyword(s):

Atmospheric Corrosion

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Atmospheric corrosion monitoring of field-exposed Q235B and T91 steels in Zhoushan offshore environment using electrochemical probes

Journal of Wuhan University of Technology-Mater Sci Ed ◽

10.1007/s11595-017-1765-9 ◽

2017 ◽

Vol 32 (6) ◽

pp. 1433-1440 ◽

Cited By ~ 5

Author(s):

Dahai Xia ◽

Shizhe Song ◽

Weixian Jin ◽

Jian Li ◽

Zhiming Gao ◽

...

Keyword(s):

Atmospheric Corrosion ◽

Corrosion Monitoring

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Raman imaging of ancient rust scales on archaeological iron artefacts for long-term atmospheric corrosion mechanisms study

Journal of Raman Spectroscopy ◽

10.1002/jrs.1581 ◽

2006 ◽

Vol 37 (10) ◽

pp. 1228-1237 ◽

Cited By ~ 131

Author(s):

Delphine Neff ◽

Ludovic Bellot-Gurlet ◽

Philippe Dillmann ◽

Solenn Reguer ◽

Ludovic Legrand

Keyword(s):

Atmospheric Corrosion ◽

Raman Imaging ◽

Archaeological Iron ◽

Corrosion Mechanisms

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Gravimetric corrosion monitoring and mathematical fitting of atmospheric corrosion data for carbon steel

British Corrosion Journal ◽

10.1179/000705992798268611 ◽

1992 ◽

Vol 27 (3) ◽

pp. 231-235 ◽

Cited By ~ 6

Author(s):

A. Porro ◽

T. F. Otero ◽

A. S. Elola

Keyword(s):

Carbon Steel ◽

Atmospheric Corrosion ◽

Corrosion Monitoring ◽

Corrosion Data

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The role of Sn on the long-term atmospheric corrosion of binary Cu-Sn bronze alloys in architecture

Corrosion Science ◽

10.1016/j.corsci.2019.01.002 ◽

2019 ◽

Vol 149 ◽

pp. 54-67 ◽

Cited By ~ 2

Author(s):

T. Chang ◽

G. Herting ◽

S. Goidanich ◽

J.M. Sánchez Amaya ◽

M.A. Arenas ◽

...

Keyword(s):

Atmospheric Corrosion

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Application of An Electrical Resistance Sensor-Based Automated Corrosion Monitor in the Study of Atmospheric Corrosion

Materials ◽

10.3390/ma12071065 ◽

2019 ◽

Vol 12 (7) ◽

pp. 1065 ◽

Cited By ~ 5

Author(s):

Zhuolin Li ◽

Dongmei Fu ◽

Ying Li ◽

Gaoyuan Wang ◽

Jintao Meng ◽

...

Keyword(s):

Electrical Resistance ◽

Atmospheric Corrosion ◽

Continuous Measurement ◽

Atmospheric Environment ◽

Corrosion Monitoring ◽

Metallic Materials ◽

Actual Environment ◽

The Internet Of Things ◽

Corrosion Monitor ◽

Corrosion Data

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.

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