Ceramic coated surface for corrosion and wear resistance

材料科学 腐蚀 涂层 陶瓷 转化膜 氧化钇稳定氧化锆 冶金 氧化物 立方氧化锆 图层(电子) 氮化物 氮化钛 分层(地质) 纳米复合材料 复合材料 古生物学 生物 俯冲 构造学
作者
Soumen Das,Supratim Mukherjee,Ashish Jain
出处
期刊:Elsevier eBooks [Elsevier BV]
卷期号:: 269-315 被引量:1
标识
DOI:10.1016/b978-0-323-99659-4.00015-2
摘要

Corrosion is a chemical and thermodynamically feasible process that gradually degrades metals to their chemically stable oxides, carbonates, or sulfides. Corrosion and wear-protective coatings of various materials are the most reliable way to ensure long-term hassle-free performance and longevity of coated materials. Protective coatings withstand more demanding and hazardous conditions with improved crack-free and adhesive properties. TiN, (TiAl)N, CrN, oxide-based coatings such as alumina (Al2O3), yttria (Y2O3), yttria stabilized zirconia (YSZ), and titania (TiO2) are widely reported. Abrasion, corrosion, and high-temperature shock resistance are also improved with complex oxides like BaTiO3, MgAl2O4, CuMn2O4, hopeite, scholzite, Sm2SrAl2O7, etc. Apart from conventional oxide based protective coatings, nitride coatings, such as TiN, Ti(Al)N, CrN, TiCrN, AlTiN, TiSiN, and carbides namely SiC, WC, TiC, etc are also widespread due to their stable resistance against corrosion and wear. Advanced functional and smart ceramic coatings involve nanocomposite thin-film coatings, layer-by-layer coatings, and self-healing coatings. This review aims at providing a brief picture of conventional coating to smart functional coating materials, mechanism as well as surface engineering to achieve such corrosion and wear resistance coatings and a wide range of applications.

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
刚刚
1秒前
bsf123完成签到,获得积分10
1秒前
李小晴天发布了新的文献求助10
1秒前
2秒前
4秒前
Hello应助细心的雪晴采纳,获得10
4秒前
Foremelon发布了新的文献求助20
6秒前
ding应助山谷采纳,获得10
7秒前
LWW发布了新的文献求助10
7秒前
思源应助李小明采纳,获得30
7秒前
7秒前
张欢馨应助张琪采纳,获得10
7秒前
xuan发布了新的文献求助10
8秒前
传奇3应助柔弱曲奇采纳,获得10
8秒前
hi发布了新的文献求助10
8秒前
丰富语蕊应助杨武天一采纳,获得20
9秒前
思甜完成签到,获得积分10
10秒前
澈竹影完成签到,获得积分10
11秒前
zx发布了新的文献求助20
12秒前
12秒前
15秒前
zimuabcd应助苶凉采纳,获得10
16秒前
Foremelon完成签到,获得积分10
16秒前
Andrew完成签到,获得积分0
17秒前
xuan发布了新的文献求助10
17秒前
bkagyin应助akakns采纳,获得10
17秒前
星辰大海应助ashore采纳,获得30
17秒前
安静的缘分完成签到,获得积分10
17秒前
彩色樱桃完成签到,获得积分10
18秒前
18秒前
深味i完成签到,获得积分10
18秒前
19秒前
酷波er应助end采纳,获得10
21秒前
彭于晏应助lizhi采纳,获得10
21秒前
传奇3应助王洪超采纳,获得10
22秒前
xxxpeacey发布了新的文献求助10
22秒前
xuan发布了新的文献求助10
24秒前
我是老大应助hi采纳,获得10
24秒前
华仔应助阔达的阑香采纳,获得10
26秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583903
求助须知:如何正确求助?哪些是违规求助? 9162659
关于积分的说明 19607512
捐赠科研通 7165840
什么是DOI,文献DOI怎么找? 3266349
关于科研通互助平台的介绍 2431276
邀请新用户注册赠送积分活动 2257837