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Image Analysis of Synthesized Corrosion Products Applied to In-situ Analysis of Q235 Steel under Simulated Marine Atmosphere

The main constituents of rust layers of carbon steel generated in marine atmosphere, goethite and lepidocrocite, have been synthesized in the laboratory. The images of synthesized corrosion products with different mixing ratios were obtained using the established image acquisition system. To get the characteristic information, images were analyzed based on colorimetry theory. Finally, an artificial neural network was employed to determine a relationship between the mixing ratios and achieved image characteristics. Mass fraction of goethite, protective constitute of rust layers, could be obtained based on image analysis of rust layers. The corrosion behavior of Q235 steel under the simulated marine atmosphere was investigated by above method. And the result showed a good correlation with electrochemical information.