【摘要】 为探究军用车辆有机涂层在全浸泡条件下的腐蚀行为特征,寻找评价涂层腐蚀防护性能的有效方法,通过对某型军绿有机涂层全浸泡条件下腐蚀行为电化学阻抗谱(EIS)特征的研究,提取并研究了低频阻抗模值Z0.1Hz、高频相位角θ10 k Hz和高频阻抗模值变化率k这3种特征参数的变化规律,并结合自组织神经网络(SOM)对涂层防护性能变化进行了辅助分析。特征参数变化规律与SOM分析结果均证明涂层在1 330 d浸泡过程中出现4个阶段的性能变化,反映了SOM神经网络辅助分析有机涂层浸泡性能的有效性。更多还原

【Abstract】 Under immersion conditions,the corrosion behaviors of green organic coating were studied using electrochemical impedance spectroscopy（EIS） method,and three characteristic parameters(low frequency impedance |Z|_0.1Hz,high frequency phase angle θ10 k Hzand value rate of high frequency impedance k) from the EIS plot were selected to evaluate the protective performance of the coating. Moreover,the analysis of coating protection was also assisted by self-organizing feature map（SOM） network. Results showed that both the change law of feature parameter and SOM analysis result proved that the protective performance of organic coatings during 1 330 d could be divided into four stages,which represented SOM neural network was a helpful method for assist-analyzing the protective performance of organic coating at immersion state.更多还原