摘要
有机涂层在光照、污染大气、盐雾和温湿交替等因素作用下,会发生降解及老化,导致涂层脱黏甚至剥离。因此有必要采取各种监测手段实时或定期检测涂层的防护状态,评价其老化程度,为涂层的预防性维修提供指导。此外,为了提高涂层的耐候性能,还需弄清涂层的失效机制,揭示涂层老化过程的微观动力学过程以及相关的影响因素,为提高涂层耐久性提供指导。首先简要介绍了几种涂层老化监检测方法,并基于涂层失效在线监测技术介绍了几种涂层寿命预测模型,包括加速因子法、曲线拟合法以及基于大数据分析的寿命分布模型和神经网络模型等,并评述了多种试验和理论模拟等手段在涂层老化机制研究中的运用。总结了当前涂层失效在线监测研究中的不足,并对涂层无损监测技术在涂层寿命与维修周期精确评估等方面的应用前景进行了展望。
Most organic coatings are subject to degradation and aging under light,salt fog,and temperature and humidity alternations,resulting in coating debonding or even peeling.Therefore,it is necessary to use non-destructive diagnosis techniques to detect the protectivity of the coating in real time,evaluate its aging degree,and provide guidelines for preventive maintenance of the coating.In addition,in order to improve the anti-aging performance of coatings,it is also necessary to clarify the failure mechanism of coatings and reveal the microdynamic process of coating aging as well as the relevant influencing factors.To this end,several coating aging evaluation methods were introduced,and the application of experimental methods and theoretical simulation in the study of coating aging mechanisms was described.Several coating life prediction models based on coating aging online monitoring technology,including acceleration factor methods,curve fitting methods,and life prediction methods such as life distribution models and neural network models based on big data analysis,were also introduced.At last,the deficiencies of the current research on coating aging and evaluation were summarized,and the important value of nondestructive coating monitoring technology in the accurate evaluation of coating life and maintenance cycle was looked forward.
作者
刘熊伟
蒋婉娟
张志宏
葛鹏莉
申成袆
魏晓静
董泽华
LIU Xiongwei;JIANG Wanjuan;ZHANG Zhihong;GE Pengli;SHEN Chenghui;WEI Xiaojing;DONG Zehua(Institute of Petroleum Engineering&Technology,Northwest Oilfield Branch,Urumqi 830011,China;Key Laboratory of Enhanced Oil Recovery from Carbonate Fracture-Cavity reservoirs,Urumqi 830011,China;School of Chemistry and Chemical Engineering Huazhong University of Science and Technology,Wuhan 430000,China)
出处
《腐蚀与防护》
CAS
CSCD
北大核心
2024年第7期50-60,共11页
Corrosion & Protection
关键词
涂层失效
在线监测
失效模型
模拟仿真
寿命预测
coating failure
on-line monitoring
failure model
simulation
life prediction
