Improving corrosion resistance of epoxy coating by optimizing the stress distribution and dispersion of SiO2 filler

材料科学 环氧树脂 复合材料 腐蚀 涂层 钝化 聚苯胺 聚合 聚合物 图层(电子)
作者
Liangsen Liu,Mingyue Zhao,Xiaoyuan Pei,Shengkai Liu,Shigang Luo,Minjie Yan,Ruiqi Shao,Ying Sun,Wen Xu,Zhiwei Xu
出处
期刊:Progress in Organic Coatings [Elsevier]
卷期号:179: 107522-107522 被引量:38
标识
DOI:10.1016/j.porgcoat.2023.107522
摘要

The steel fiber textile overcomes mostly the shortcomings of traditional reinforcement materials. However, the poor corrosion resistance severely limits service life. In this study, based on the mechanism of stress corrosion and electrochemical corrosion, the epoxy resin anti-corrosion coating was designed and prepared. First, the von Mises stress distribution of lamellar and spherical fillers in epoxy resin was studied by finite element simulation, which confirmed that the stress distribution of spherical SiO2 filler was more uniform when it was stressed. In addition, to optimize the dispersion of spherical SiO2 in epoxy resin, the spherical polyaniline@SiO2 (PANI@SiO2) composites with core-shell structure were produced with in situ polymerization method. Ultrasonic C scanning results showed that the addition of PANI@SiO2 nano-filler can effectively reduce the defects in epoxy resin. Compared with bare steel fiber, the composites coating of 2 wt% PANI@SiO2/epoxy showed the most excellent resistance to stress corrosion and electrochemical corrosion. The capacitance diameter is two orders of magnitude higher, which has good stability in simulated concrete pore solution. This is due to the fact that the addition of PANI@SiO2 nanomaterials improves the physical shielding properties of epoxy, creating a labyrinth effect, and that PANI can produce passivation on the metal surface.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
yaoyao完成签到,获得积分10
刚刚
1秒前
YIN发布了新的文献求助10
1秒前
1秒前
Sarah完成签到,获得积分10
1秒前
Matthew发布了新的文献求助10
1秒前
1秒前
Coral完成签到,获得积分10
2秒前
士心完成签到,获得积分10
2秒前
www完成签到,获得积分10
2秒前
2秒前
苦柒完成签到,获得积分10
3秒前
科研菜鸡完成签到 ,获得积分10
3秒前
niko发布了新的文献求助10
4秒前
LL完成签到,获得积分10
4秒前
萌酱完成签到,获得积分10
4秒前
4秒前
星河完成签到,获得积分10
4秒前
Active发布了新的文献求助10
4秒前
4秒前
4秒前
老李应助科研通管家采纳,获得10
5秒前
5秒前
搜集达人应助科研通管家采纳,获得10
5秒前
桐桐应助科研通管家采纳,获得10
5秒前
5秒前
5秒前
无花果应助腼腆的又晴采纳,获得10
5秒前
6秒前
小二郎应助科研通管家采纳,获得10
6秒前
上官若男应助小艳胡采纳,获得10
6秒前
NexusExplorer应助科研通管家采纳,获得10
6秒前
6秒前
乐乐应助科研通管家采纳,获得10
6秒前
7秒前
搜集达人应助科研通管家采纳,获得10
7秒前
wy.he应助科研通管家采纳,获得10
7秒前
求神拜佛完成签到,获得积分10
7秒前
搜集达人应助科研通管家采纳,获得10
7秒前
老李应助科研通管家采纳,获得30
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Les Mantodea de guyane 2500
Feldspar inclusion dating of ceramics and burnt stones 1000
What is the Future of Psychotherapy in a Digital Age? 801
The Psychological Quest for Meaning 800
Digital and Social Media Marketing 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5969782
求助须知:如何正确求助?哪些是违规求助? 7274494
关于积分的说明 15984743
捐赠科研通 5107184
什么是DOI,文献DOI怎么找? 2742896
邀请新用户注册赠送积分活动 1708018
关于科研通互助平台的介绍 1621114