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Smart-Sensing Polymer Coatings with Autonomously Reporting Corrosion Dynamics of Self-Healing Systems | |
Wang, Jun-Peng1; Song, Xiaoke1,2; Wang, Jun-Kuo3; Cui, Xurui1,2; Zhou, Qiong3; Qi, Tao1,2; Li, Guo Liang1,2 | |
2019-05-23 | |
Source Publication | ADVANCED MATERIALS INTERFACES
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ISSN | 2196-7350 |
Volume | 6Issue:10Pages:8 |
Abstract | Inspired by biological systems, self-healing coatings have been fabricated to protect metals against corrosion. However, in situ monitoring of the corrosion dynamics for various self-healing strategies generally remains a big challenge due to different working mechanisms. In the present work, a universal intelligent-sensing coating (SC) system containing pH-responsive polymer microspheres with a color probe is developed. When corrosion occurs in the self-healing system, the color around cracks turns pink gradually over time owing to the increased pH value. For the high-performance self-healing coatings, the onset and propagation of corrosion is suppressed, thereby leading to a narrow light-pink-color area. With this smart SC approach, the corrosion dynamics is established for three self-healing strategies by the correlation between the width of color lines with time. The anticorrosion ability in 48 h for the three extrinsic self-healing strategies are evaluated; that is, the SC with benzotriazole-loaded poly(divinylbenzene)-graft-poly(divinylbenzene-co-acrylic acid) microspheres (PDVB-graft-P(DVB-co-AA)-BTA) is superior to that with BTA-loaded halloysite (Halloysite-BTA), which surpasses that with polyurethane/poly(urea-formaldehyde) microcapsules filled with isophorone diisocyanate (IPDI@PU/PUF). These results are consistent with electrochemical experiments. This smart-sensing coating system can be a promising alternative for the in situ investigation of the anticorrosion performance of various self-healing anticorrosion strategies. |
Keyword | corrosion dynamics self-healing self-reporting smart-sensing coatings |
DOI | 10.1002/admi.201900055 |
Language | 英语 |
WOS Keyword | NANOCONTAINERS ; DAMAGE ; NANOTUBES |
Funding Project | National Key Research and Development Plan[2016YFC0303700] |
WOS Research Area | Chemistry ; Materials Science |
WOS Subject | Chemistry, Multidisciplinary ; Materials Science, Multidisciplinary |
Funding Organization | National Key Research and Development Plan |
WOS ID | WOS:000468810200003 |
Publisher | WILEY |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.ipe.ac.cn/handle/122111/29905 |
Collection | 中国科学院过程工程研究所 |
Corresponding Author | Li, Guo Liang |
Affiliation | 1.Chinese Acad Sci, Inst Proc Engn, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.China Univ Petr, Dept Mat Sci & Engn, Beijing 102249, Peoples R China |
Recommended Citation GB/T 7714 | Wang, Jun-Peng,Song, Xiaoke,Wang, Jun-Kuo,et al. Smart-Sensing Polymer Coatings with Autonomously Reporting Corrosion Dynamics of Self-Healing Systems[J]. ADVANCED MATERIALS INTERFACES,2019,6(10):8. |
APA | Wang, Jun-Peng.,Song, Xiaoke.,Wang, Jun-Kuo.,Cui, Xurui.,Zhou, Qiong.,...&Li, Guo Liang.(2019).Smart-Sensing Polymer Coatings with Autonomously Reporting Corrosion Dynamics of Self-Healing Systems.ADVANCED MATERIALS INTERFACES,6(10),8. |
MLA | Wang, Jun-Peng,et al."Smart-Sensing Polymer Coatings with Autonomously Reporting Corrosion Dynamics of Self-Healing Systems".ADVANCED MATERIALS INTERFACES 6.10(2019):8. |
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