基于腐蚀大数据的碳钢海洋大气腐蚀行为  

Marine Atmospheric Corrosion Behavior of Carbon Steel Based on Corrosion Big Data

作　　者：夏晓健 杨国威 林德源 李清 朱仁政 杨小佳 陈奕扬 万芯瑗 严康骅 韩纪层 陈云翔 洪毅成 陈天鹏 XIA Xiaojian;YANG Guowei;LIN Deyuan;LI Qing;ZHU Renzheng;YANG Xiaojia;CHEN Yiyang;WAN Xinyuan;YAN Kanghua;HAN Jiceng;CHEN Yunxiang;HONG Yicheng;CHEN Tianpeng(Electric Power Research Institute,State Grid Fujian Electric Power Co.,Ltd.,Fuzhou 350007,China;Institute for Advanced Materials and Technology,University of Science and Technology Beijing,Beijing 100083,China;Putian Power Supply Company,State Gird Fujian Electric Power Co.,Ltd.,Putian 351100,China)

机构地区：[1]国网福建省电力有限公司电力科学研究院,福州350007 [2]北京科技大学新材料技术研究院,北京100083 [3]国网福建省电力有限公司莆田供电公司,莆田351100

出　　处：《中国表面工程》2024年第2期58-71,共14页China Surface Engineering

基　　金：国网福建省电力有限公司科技项目(52130422000T)。

摘　　要：随着“一带一路”和“海洋强国”等重大战略的深入推进,沿海地区及海上重大装备设施面临着空前严峻的海洋环境挑战。深入研究海洋大气腐蚀行为,对于延缓腐蚀过程、确保设施安全运行以及防止重大安全事故和经济损失具有至关重要的意义。以Q235碳钢作为研究对象,基于腐蚀大数据技术,通过周期浸泡加速试验获取实时连续的腐蚀数据,研究环境因子Cl^(−)、HSO_(3)^(−)及pH值对碳钢海洋大气腐蚀行为的影响。结果表明:随着Cl^(−)、HSO_(3)^(−)浓度的增加或pH值的降低,腐蚀累积量呈不断上升的趋势,腐蚀大数据采集结果与碳钢试样腐蚀形貌及锈层分析结果一致。随试验的进行,当Cl^(−)浓度较低时,锈层朝着更加稳定的方向发展;Cl^(−)浓度较高时,锈层稳定性不断下降。0.05%HSO_(3)^(−)浓度下,腐蚀始终以相对较低的速率匀速进行;浓度为0.1%时,腐蚀先是匀速进行,但由于腐蚀后期形成了具有一定保护性的锈层,腐蚀速率有所下降;当浓度达到0.2%时,腐蚀速率在试验后期反而加快,锈层难以维持相对稳定的状态。试验环境pH=5或3时,整个试验周期的腐蚀速率整体呈下降趋势;pH=1时,腐蚀速率呈持续上升趋势。腐蚀大数据方法与传统挂片法研究结果具有较高的一致性,验证了腐蚀大数据手段对于环境腐蚀研究的可靠性,研究结果可为后续开展数据分析与挖掘工作奠定基础。The“Belt and Road”initiative and the aspiration to evolve into a“Maritime Powerhouse”have highlighted the challenges of marine atmospheric corrosion affecting coastal regions and key maritime infrastructure.This phenomenon presents a critical challenge for the global maritime sector,emphasizing the need for in-depth understanding and effective mitigation strategies to preserve the integrity and operational safety of maritime facilities,thereby preventing significant safety incidents and economic losses.This study focuses on Q235 carbon steel,a material extensively used in maritime constructions,by applying advanced corrosion big data technology.The research methodology incorporates cyclic immersion acceleration tests,enabling the collection of continuous real-time corrosion data.This approach is vital for a comprehensive analysis of the effects of environmental factors such as Cl^(−),HSO_(3)^(−),and pH levels on the corrosion behavior of carbon steel in marine atmospheres.The findings of this study indicate a clear correlation between increased concentrations of Cl^(−)and HSO_(3)^(−)or a decrease in pH levels and the acceleration of the corrosion process.The gathered data aligns with the observed physical corrosion morphology and rust layer analysis of the steel samples,demonstrating the robustness and reliability of the data-driven approach.This study highlights that at lower Cl^(−)concentrations,the rust layer tends toward greater stability whereas higher concentrations result in decreased stability.With different HSO_(3)^(−)concentrations,the corrosion behavior varies:at 0.05%,corrosion proceeds at a steady low rate;at 0.1%,a protective rust layer forms,slowing the corrosion rate;and at 0.2%,the rate increases in the later stages,challenging the stability of the rust layer.In environments with pH values of 5 or 3,the overall trend is a decline in the corrosion rates,in contrast to a pH of 1,where the rate consistently increases.A significant aspect of this study is the integration of tradit

关 键 词：海洋大气腐蚀 碳钢 腐蚀传感器 腐蚀大数据 

分 类 号：TG172[金属学及工艺—金属表面处理]