| 基于自组织神经网络的军用车辆装备涂层腐蚀行为研究 |
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| 引用本文： | 蔡志强,吕荣胜,张振楠.基于自组织神经网络的军用车辆装备涂层腐蚀行为研究[J].材料保护,2018(1):47-50,54. |
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| 作者姓名： | 蔡志强 吕荣胜 张振楠 |
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| 作者单位： | 天津大学管理与经济学部,天津300072;军事交通学院军用车辆系,天津300161
天津大学管理与经济学部,天津300072;天津理工大学管理学院,天津300384
军事交通学院研究生管理大队,天津,300161 |
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| 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。
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| 关 键 词： | 军用车辆 有机涂层 全浸泡条件 特征参数 自组织神经网络 military vehicle organic coating immersion condition feature parameter self-organizing feature map |
Corrosion Behavior of Military Vehicle Equipment Coatings Based on Self-Organizing Feature Map Network |
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| CAI Zhi-qiang,LYU Rong-sheng,ZHANG Zhen-nan.Corrosion Behavior of Military Vehicle Equipment Coatings Based on Self-Organizing Feature Map Network[J].Journal of Materials Protection,2018(1):47-50,54. |
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| Authors: | CAI Zhi-qiang LYU Rong-sheng ZHANG Zhen-nan |
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| 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 |0.1 Hz,high frequency phase angle θ10kHz and 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. |
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