| Prediction of multilayer Cr/GLC coatings degradation in deep-sea environments based on integrated mechanistic and machine learning models | |
| Ma, Hongyu1; Qin, Pengfei1; Cui, Yu2; Liu, Rui1; Ke, Peiling3; Wang, Fuhui1; Liu, Li1 | |
| Corresponding Author | Cui, Yu(ycui@imr.ac.cn) ; Liu, Rui(liurui@mail.neu.edu.cn) ; Liu, Li(liuli@mail.neu.edu.cn) |
| 2023-11-01 | |
| Source Publication | CORROSION SCIENCE
 |
| ISSN | 0010-938X |
| Volume | 224Pages:14 |
| Abstract | Improving the accuracy of coating lifetime prediction on small sample data has been an urgent issue to be addressed. In this paper, based on in-situ electrochemical impedance spectroscopy data of multilayer Cr/GLC coatings, a lifetime prediction formula related to the coating failure mechanism is developed, which provides a quantitative basis for estimating the coating lifetime. Furthermore, the combination of the mechanistic prediction model and the ANN + RF integrated machine learning model can further increase the model's prediction accuracy, reach 97.9%, and provide a new method for predicting coating performance and lifetime in deep-sea environments. |
| Keyword | Multilayer Cr/GLC coatings EIS Mechanistic empirical model Machine learning models Lifetime prediction |
| Funding Organization | National Natural Science Foundation of China ; National Key Research and Development Program of China ; Chinese Academy of Sciences ; CAS Interdisciplinary Innovation Team |
| DOI | 10.1016/j.corsci.2023.111513 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[U20B2026] ; National Key Research and Development Program of China[2022YFB3808800] ; Chinese Academy of Sciences[XDA22010303] ; CAS Interdisciplinary Innovation Team[292020000008] |
| WOS Research Area | Materials Science ; Metallurgy & Metallurgical Engineering |
| WOS Subject | Materials Science, Multidisciplinary ; Metallurgy & Metallurgical Engineering |
| WOS ID | WOS:001074784300001 |
| Publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/179359 |
| Collection | 中国科学院金属研究所 |
| Corresponding Author | Cui, Yu; Liu, Rui; Liu, Li |
| Affiliation | 1.Northeastern Univ, Shenyang Natl Lab Mat Sci, Shenyang 110819, Peoples R China 2.Chinese Acad Sci, Inst Met Res, Shi Changxu Innovat Ctr Adv Mat, Wencui Rd 62, Shenyang 110016, Peoples R China 3.Chinese Acad Sci, Ningbo Inst Mat Technol & Engn, Key Lab Marine Mat & Related Technol, Zhejiang Key Lab Marine Mat & Protect Technol, Ningbo 315201, Peoples R China |
| Recommended Citation GB/T 7714 | Ma, Hongyu,Qin, Pengfei,Cui, Yu,et al. Prediction of multilayer Cr/GLC coatings degradation in deep-sea environments based on integrated mechanistic and machine learning models[J]. CORROSION SCIENCE,2023,224:14. |
| APA | Ma, Hongyu.,Qin, Pengfei.,Cui, Yu.,Liu, Rui.,Ke, Peiling.,...&Liu, Li.(2023).Prediction of multilayer Cr/GLC coatings degradation in deep-sea environments based on integrated mechanistic and machine learning models.CORROSION SCIENCE,224,14. |
| MLA | Ma, Hongyu,et al."Prediction of multilayer Cr/GLC coatings degradation in deep-sea environments based on integrated mechanistic and machine learning models".CORROSION SCIENCE 224(2023):14. |
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