Improving the polyester powder coating self-healing anti-corrosion properties via the steel surface decoration with Ce-doped-ZIF-8@ZPMn film

材料科学 涂层 聚酯纤维 腐蚀 复合材料 阴极保护 粘附 盐雾试验 分层(地质) 油漆附着力测试 电化学 电极 俯冲 构造学 生物 物理化学 古生物学 化学
作者
Afshin Davarpanah,Motahhare Keramatinia,Elham Soroush,Nazanin Nouri,Bahram Ramezanzadeh
出处
期刊:Surfaces and Interfaces [Elsevier BV]
卷期号:41: 103144-103144 被引量:9
标识
DOI:10.1016/j.surfin.2023.103144
摘要

This study aimed to investigate the effects of ZPMn coating modification with ZIF-8 (MOF) crystals on the corrosion rate, cathodic disbonding, and adhesion properties of the polyester (Es) coating. Also, in order to increase the self-healing and adhesion capabilities of the coating in saline environments, the Es-ZPMn-MOF was modified by cerium ions (Ce3+). The treated steel's surface has been characterized using FTIR, Raman, and FE-SEM techniques. The barrier capabilities, self-healing properties, and adhesion efficiency of the polyester coating were further analyzed using Salt spray (SS), FE-SEM and EDX/mapping, EIS, Pull-off, and cathodic delamination experiments. According to the EIS results, after 24 h of immersion, the Es-ZPMn-MOF/Ce sample's (in scratched form) corrosion protection properties increased significantly (around 35%). The pull-off outcomes showed that compared to the Es sample, the polyester coating modified by ZPMn-MOF/Ce film had the most significant increase in adhesion strength and the least amount of adhesion loss (around 25%). Moreover, the cathodic delamination experiments showed that using the ZPMn-MOF/Ce film increased the Es's resistance to disbondment by 92%.
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
MiSD完成签到,获得积分10
刚刚
小小爱吃百香果完成签到,获得积分20
1秒前
啊盘发布了新的文献求助10
1秒前
跳跃的翼完成签到 ,获得积分10
2秒前
纪外绣完成签到,获得积分10
3秒前
bofu发布了新的文献求助10
4秒前
5秒前
7秒前
Vi发布了新的文献求助10
7秒前
Akim应助顾得白白采纳,获得10
7秒前
Ashore发布了新的文献求助30
8秒前
fire完成签到 ,获得积分10
8秒前
Avvei完成签到,获得积分10
8秒前
10秒前
宵宫完成签到,获得积分10
10秒前
bofu发布了新的文献求助10
11秒前
Foxjker完成签到 ,获得积分10
13秒前
yifan21完成签到,获得积分10
15秒前
搜集达人应助书一卷采纳,获得20
16秒前
大模型应助zw采纳,获得10
17秒前
bofu发布了新的文献求助10
22秒前
22秒前
FashionBoy应助斯文的傲珊采纳,获得10
23秒前
xxx发布了新的文献求助10
24秒前
Lindsay发布了新的文献求助10
26秒前
zw发布了新的文献求助10
27秒前
shezhinicheng发布了新的文献求助10
28秒前
bofu发布了新的文献求助10
28秒前
ylky完成签到 ,获得积分10
31秒前
32秒前
34秒前
bofu发布了新的文献求助10
35秒前
35秒前
保持理智完成签到,获得积分10
39秒前
zw完成签到,获得积分10
40秒前
40秒前
情怀应助Nora采纳,获得10
41秒前
42秒前
shezhinicheng完成签到,获得积分10
43秒前
小蘑菇应助心神依然采纳,获得10
43秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 400
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
The Monocyte-to-HDL ratio (MHR) as a prognostic and diagnostic biomarker in Acute Ischemic Stroke: A systematic review with meta-analysis (P9-14.010) 240
The Burge and Minnechaduza Clarendonian mammalian faunas of north-central Nebraska 206
Fatigue of Materials and Structures 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3831561
求助须知:如何正确求助?哪些是违规求助? 3373738
关于积分的说明 10481304
捐赠科研通 3093686
什么是DOI,文献DOI怎么找? 1702949
邀请新用户注册赠送积分活动 819237
科研通“疑难数据库(出版商)”最低求助积分说明 771307