Abstract: To reveal the evolution law of the pitting of carbon steel in the atmospheric environment, a numerical model of pitting was established on the basis of the electrochemical corrosion mechanism. Meanwhile, it is also coupled with tertiary current distribution, material transfer and deformation geometry multiphysics fields. Based on the validated numerical model, an analysis was conducted by the effects of pH, NaCl concentration and relative humidity (RH) on the pitting rate. Furthermore, the prediction model of pitting rate was established. The results show that the pitting shape changes from conical to hemispherical and ultimately develops into a cylindrical shape. When the pH value is in the range of 6.0 to 7.0, the pitting rate remarkably decreases, with the maximum reduction being 23.96%. When the NaCl concentration falls within the range of 0.5% to 1% (mass fraction), an increase in NaCl concentration significantly impacts the pitting rate, with a maximum increment of 10%. When the RH ranges from 72% to 77%, the pitting rate of carbon steel exhibits an exceptionally high level. The error between the predicted pitting rate and the test is less than 5%. These indicate that the numerical model and prediction formula established in this work are applicable to predicting the pitting evolution process and pitting rate of carbon steel.
姜绍飞, 林金星, 宋华霖, 王威, 陈敏文. 基于多物理场耦合的大气环境下碳钢点蚀演化及速率预测模型[J]. 材料导报, 2024, 38(19): 23060012-7.
JIANG Shaofei, LIN Jinxing, SONG Hualin, WANG Wei, CHEN Minwen. Evolution and Rate Prediction Model of Pitting of Carbon Steel in Atmospheric Environment Based on Multiphysical Fields. Materials Reports, 2024, 38(19): 23060012-7.
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