This paper aims to discover the mathematical model for Q235 carbon steel corrosion date acquired in the initial stage of atmospheric corrosion using electrical resistance probe.
In this paper, mathematical approaches are used to construct a classification model for atmospheric environmental elements and material corrosion rates.
Results of the experiment show that the corrosion data can be converted into corrosion depth for calculating corrosion rate to obtain corrosion kinetics model and conform corrosion acceleration phase. Combined with corresponding atmospheric environmental elements, a real time grade subdivision model for corrosion rate can be constructed.
These mathematical models constructed by real time corrosion data can be well used to research the characteristics about initial atmospheric corrosion of Q235 carbon steel.
The authors would like to thank the National Key Research and Development Program of China “Efficient Processing and Utilization Technology of Material Environmental Failure Data” (Grant No. 2017YFB0702104) and the Other Projects of the Ministry of Science and Technology of China “Investigation of Material Corrosion and Its Effect on Natural Environment Pollution in China” (Grant No. 2012FY113000). And the authors would like to thank Corrosion and Protection Center of University of Science and Technology Beijing for helping to carry out this experiment.
Li, Z., Fu, D. and Pei, Z. (2021), "Modeling research of initial atmospheric corrosion of Q235 carbon steel based on electrical resistance probe", Anti-Corrosion Methods and Materials, Vol. 68 No. 2, pp. 45-52. https://doi.org/10.1108/ACMM-04-2020-2295
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