4.7 Article

Silane coupling agent modified layered double hydroxide/graphene oxide preparation of intelligent anticorrosive coating

期刊

SURFACE & COATINGS TECHNOLOGY
卷 467, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.surfcoat.2023.129728

关键词

Graphene oxide; Layered double hydroxide; Silane functionalization; Corrosion protection

向作者/读者索取更多资源

In this study, a modified LDH-MoO42- nano-filler (KGO@LM) was prepared by modifying KH-570 and GO to improve the long-term corrosion resistance of epoxy resin (EP) coating. The filler integrates the functions of barrier, chloride ion trapping, and self-repair, and has good dispersion and compatibility in EP. The addition of KGO@LM filler significantly improved the anticorrosive effect of EP coating, as evidenced by the high impedance and significant corrosion inhibiting effect.
Common coatings have unsatisfactory long-term anticorrosion performance due to poor barrier property. In this work, LDH-MoO42- nano-filler (KGO@LM) modified by KH-570 and GO was prepared to improve the long-term corrosion resistance of epoxy resin (EP) coating. The filler integrates the three functions of barrier, chloride ion trapping and self-repair, and has good dispersion and compatibility in EP. After soaking in 3.5 wt% NaCl solution for 28 days, the low-frequency impedance of KGO@LM coating was still as high as 1.02 x 10(8) Omega.cm(2), while the remaining value of EP coating was only 2.63 x 10(6) Omega cm(2),so the addition of KGO@LM filler significantly improved the anticorrosive effect of EP coating. After soaking in 3.5 wt% NaCl solution for 18 h, the lowfrequency impedance of the scratched KGO@LM/EP coating was 1.5 orders of magnitude higher than that of the EP coating, which proved that the designed filler had a significant corrosion inhibiting effect. Therefore, it is believed that this work can provide some inspirations for other researchers to develop long-term anticorrosion coatings.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据