Xianlian Mu , Tao Jin , Pengfei Xie , Rongcao Yu , Shengnan Hu , Bin Li , Lei Li , Xin Yuan
{"title":"Organic coating failure and monitoring in atmospheric corrosion: from mechanisms to applications","authors":"Xianlian Mu , Tao Jin , Pengfei Xie , Rongcao Yu , Shengnan Hu , Bin Li , Lei Li , Xin Yuan","doi":"10.1016/j.pmatsci.2025.101592","DOIUrl":null,"url":null,"abstract":"<div><div>The failure of organic coatings protecting metal structures in aerospace and marine engineering under atmospheric corrosion has become a critical threat to structural safety. The NACE report indicates that 38 % of global corrosion costs stem from coating failure. This data is directly associated with the accelerated failure of the coating’s physical barrier caused by Cl<sup>−</sup> in the marine atmosphere (diffusion coefficient D ≈ 5 × 10<sup>−11</sup> cm<sup>2</sup>/s). This review focuses on organic coatings for metal structures and constructs a systematic scenario-mechanism-technology-model framework: ① Analyze three core environmental characteristics—electrochemical catalytic effects of SO<sub>2</sub>/NO<sub>x</sub> in industrial atmospheres, deliquescence-crystallization cycles of Cl<sup>−</sup> in marine atmospheres, and synergistic effects of hypoxia, low temperature, and intense UV in aerospace high-altitude environments; ② Reveal multi-scale failure mechanisms: molecular-level degradation (e.g., ester bond hydrolysis in epoxy resins, C-F bond cleavage in fluorocarbon coatings), microscale defect propagation, and macroscopic delamination, establishing a medium penetration-interface reaction-structural deterioration failure clock model; ③ Compare monitoring technologies (EIS has a 12 % false negative rate in marine environments, SKP achieves 89 % accuracy in aerospace interface debonding early warning) and evaluate prediction models (Arrhenius empirical model shows > 20 % error at high temperatures, LSTM-GARCH model achieves < 10 % error under multi-factor conditions). Key bottlenecks identified include: lack of cross-scale modeling for multi-factor synergistic failure, engineering obstacles for self-healing smart coatings, and heavy data dependence of AI models. Future research should focus on quantifying physical-electrochemical coupling mechanisms and integrating fiber optic sensing with digital twins to provide lifecycle protection for high-end equipment coatings.</div></div>","PeriodicalId":411,"journal":{"name":"Progress in Materials Science","volume":"157 ","pages":"Article 101592"},"PeriodicalIF":42.9000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Materials Science","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0079642525001707","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The failure of organic coatings protecting metal structures in aerospace and marine engineering under atmospheric corrosion has become a critical threat to structural safety. The NACE report indicates that 38 % of global corrosion costs stem from coating failure. This data is directly associated with the accelerated failure of the coating’s physical barrier caused by Cl− in the marine atmosphere (diffusion coefficient D ≈ 5 × 10−11 cm2/s). This review focuses on organic coatings for metal structures and constructs a systematic scenario-mechanism-technology-model framework: ① Analyze three core environmental characteristics—electrochemical catalytic effects of SO2/NOx in industrial atmospheres, deliquescence-crystallization cycles of Cl− in marine atmospheres, and synergistic effects of hypoxia, low temperature, and intense UV in aerospace high-altitude environments; ② Reveal multi-scale failure mechanisms: molecular-level degradation (e.g., ester bond hydrolysis in epoxy resins, C-F bond cleavage in fluorocarbon coatings), microscale defect propagation, and macroscopic delamination, establishing a medium penetration-interface reaction-structural deterioration failure clock model; ③ Compare monitoring technologies (EIS has a 12 % false negative rate in marine environments, SKP achieves 89 % accuracy in aerospace interface debonding early warning) and evaluate prediction models (Arrhenius empirical model shows > 20 % error at high temperatures, LSTM-GARCH model achieves < 10 % error under multi-factor conditions). Key bottlenecks identified include: lack of cross-scale modeling for multi-factor synergistic failure, engineering obstacles for self-healing smart coatings, and heavy data dependence of AI models. Future research should focus on quantifying physical-electrochemical coupling mechanisms and integrating fiber optic sensing with digital twins to provide lifecycle protection for high-end equipment coatings.
期刊介绍:
Progress in Materials Science is a journal that publishes authoritative and critical reviews of recent advances in the science of materials. The focus of the journal is on the fundamental aspects of materials science, particularly those concerning microstructure and nanostructure and their relationship to properties. Emphasis is also placed on the thermodynamics, kinetics, mechanisms, and modeling of processes within materials, as well as the understanding of material properties in engineering and other applications.
The journal welcomes reviews from authors who are active leaders in the field of materials science and have a strong scientific track record. Materials of interest include metallic, ceramic, polymeric, biological, medical, and composite materials in all forms.
Manuscripts submitted to Progress in Materials Science are generally longer than those found in other research journals. While the focus is on invited reviews, interested authors may submit a proposal for consideration. Non-invited manuscripts are required to be preceded by the submission of a proposal. Authors publishing in Progress in Materials Science have the option to publish their research via subscription or open access. Open access publication requires the author or research funder to meet a publication fee (APC).
Abstracting and indexing services for Progress in Materials Science include Current Contents, Science Citation Index Expanded, Materials Science Citation Index, Chemical Abstracts, Engineering Index, INSPEC, and Scopus.