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研究了大气腐蚀环境下Q235钢腐蚀行为,通过图像处理获取锈层组成的信息。将电化学监测和图像分析相结合,通过提取图像特征参数,并与电化学信息进行对比分析,研究Q235钢在薄液膜下腐蚀行为与图像信息的相关性。结果表明,Q235钢大气腐蚀始于珠光体,出现局部区域优先腐蚀特征;随着腐蚀进行,出现均匀化特征。丝束电极分析表明,随着时间增加,Q235钢腐蚀电位降低,腐蚀电位标准差减小,阳极区域不断扩大。神经网络图像分析表明,随时间增加,锈层中α-FeOOH的含量增加,对氧的扩散出现阻挡作用,促使局部腐蚀向均匀腐蚀转变。腐蚀行为与图像特征信息具有相关性,即与局部腐蚀向均匀腐蚀转变进而速率减缓相对应,表面出现完整腐蚀产物层。
The corrosive behavior of Q235 steel under atmospheric corrosion was studied and the rust composition information was obtained by image processing. Electrochemical monitoring and image analysis were combined to study the correlation between the corrosion behavior of Q235 steel and the image information by extracting image characteristic parameters and comparing with the electrochemical information. The results show that the atmospheric corrosion of Q235 steel begins with pearlite, with local corrosion preferentially occurring. As the corrosion progresses, the homogenization characteristics appear. The analysis of tow electrode showed that the corrosion potential of Q235 steel decreased with the increase of time, the standard deviation of corrosion potential decreased, and the anode area expanded continuously. Neural network image analysis shows that with the increase of time, the content of α-FeOOH in the rust layer increases, blocking the diffusion of oxygen, prompting the local corrosion to a uniform corrosion transition. Corrosion behavior and image feature information are correlated, that is, with the local corrosion to the uniform corrosion transition rate corresponding to slow down, the surface appears complete corrosion product layer.