Numerical Approach for Atmospheric Corrosion Monitoring Based on EIS of a Weathering Steel

doi:10.1007/s40195-014-0193-5

Abstract

Abstract:

Electrochemical impedance spectroscopy (EIS) and film thickness measurement have been employed to study the atmospheric corrosion of a weathering steel covered with a thin electrolyte layer in a simulated coastal-industrial atmosphere. The results indicate that the corrosion rate is a function of the covered electrolyte thickness and the wet/dry cycle. Within each wet/dry cycle, the increased corrosion rate is related to the increased Cl^- and SO₄ ^2- concentration and an enhancement of oxygen diffusion rate with the evaporation of the electrolyte. In addition, the corrosion rate increases during the initial corrosion stage and then decreases as the wet/dry cycle proceeds. Moreover, one mathematical approach based on the numerical integration method to obtain corrosion mass loss of steel from the measurements of EIS has been developed, and this would be useful for the development of indoor simulated atmospheric corrosion tests.

Key words: Weathering steel, Atmospheric corrosion, Electrochemical impedance, spectroscopy Steel rust, Coastal-industrial atmosphere

Ch. Thee, Long Hao, Jun-Hua Dong, Xin Mu, Wei Ke. Numerical Approach for Atmospheric Corrosion Monitoring Based on EIS of a Weathering Steel[J]. Acta Metallurgica Sinica (English Letters), 2015, 28(2): 261-271.

Figures/Tables 11

Fig. 1 Variation in the electrolyte film thickness and the concentration of Cl- and SO4 2- during the electrolyte evaporation process on un-rusted steel sample during the first CCT. The ordinary numbers 1-16 in the plot denote the sequence of the cyclic EIS measurements with the calculated electrolyte film thickness results

Fig. 2 Evolution of the Bode results for EIS measurement on un-rusted steel sample in the first CCT. The sequence of the EIS data getting and the corresponding electrolyte film thickness are accompanied by the Bode results, respectively: a impedance plot; b phase angle plot

Fig. 3 Variation in the electrolyte film thickness and the concentration of Cl- and SO4 2- during the electrolyte evaporation process on rusted steel sample during the 54th CCT. The ordinary numbers 1-14 in the plot denote the sequence of the cyclic EIS measurements with the calculated electrolyte film thickness results

Fig. 4 Evolution of the Bode results for EIS measurement on rusted steel sample in the 54th CCT. The sequence of the EIS data getting and the corresponding electrolyte film thickness are indicated at the Bode results, respectively: a impedance plot; b phase angle plot

Fig. 5 Evolution in the impedance result for Bode plots of the first EIS measurement as a function of CCT number: a 1-6 CCT; b 15-58 CCT

Fig. 6 Evolution in the calculated R rust during the electrolyte evaporation process as a function of CCT number: a 1-14 CCT; b 15-53 CCT

Fig. 7 Evolution in the calculated R rust as a function of CCT number for the first EIS measurement during each wet-dry cyclic process

Fig. 8 Evolution in R p -1 as a function of CCT number for each EIS measurement during wet-dry cyclic process: a 1-14 CCT; b 15-53 CCT

Fig. 9 Relationship between R p -1 and the electrolyte thickness of 6th CCT with the application of the numerical integration using the trapezoidal rule. A1-A13 indicate the segments of the numerical integration

Fig. 10 Evolution in the calculated average R p -1 as a function of CCT number, and the area under the curve is divided into 59 segments for further integration

Fig. 11 Calculated corrosion mass loss of the steel as a function of CCT number during the whole corrosion process

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