Graphene-coated alumina nano/microfibers as filler for composites

材料科学 石墨烯 复合材料 X射线光电子能谱 拉曼光谱 氧化物 扫描电子显微镜 氧化石墨烯纸 复合数 纤维 静电纺丝 化学工程 纳米技术 聚合物 光学 物理 工程类 冶金
作者
Ihor Koribanich,Erika Múdra,Ivan Shepa,Monika Hrubovčáková,Alexandra Kovalčíková,Vladimír Girman,David Pavliňák,Matěj Baláž,Ján Dusza
出处
期刊:Ceramics International [Elsevier]
卷期号:49 (14): 24216-24221
标识
DOI:10.1016/j.ceramint.2022.09.237
摘要

The present work is focused on the preparation and characterization of composite nano/microfibers based on alumina applicable as fillers in ceramic-matrix composites. The graphene-coated Al2O3 microfibers have been prepared in the form of continuous alumina/graphene fibers from electrospun precursors using needle-less electrospinning, calcination, and catalyst-free chemical vapor deposition of graphene layers on the surface of the microfibers. The phase composition and morphology of the composite fibers were characterized by X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, scanning, and transmission electron microscopy (SEM and TEM). The porosity of the final fibers was evaluated by low-temperature nitrogen adsorption. The surface microstructures of composite fibers were rough and their diameters were in the range from 300 nm to 2 μm. The phase transformation at 1100 °C led to the formation of a mixture of γ-, δ-, and α-Al2O3. TEM results confirmed that the alumina fibers were covered by the 3–4 layers of graphene-based structure. The specific surface area of pure alumina fibers after carbon deposition slightly increased from the initial 40 m2/g to 45 m2/g, due to a slightly wavy surface of graphene layers. Raman spectroscopy and XPS analysis results showed that the surface layer of fibers is formed as graphene oxide. Between the graphene oxide and alumina grains a chemical bonding C–O–Al, C–O–O–Al was discovered as the nucleation of the graphene oxide sheet. The growth mechanism of graphene oxide layers on the surface edges of Al2O3 grains was described.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
三盒半熟芝士完成签到,获得积分10
刚刚
wangyue发布了新的文献求助20
刚刚
Yamila发布了新的文献求助30
刚刚
愉快的真完成签到,获得积分0
1秒前
2秒前
2秒前
从容雨筠完成签到,获得积分10
2秒前
3秒前
深情安青应助lis57采纳,获得10
3秒前
3秒前
Zxyvv完成签到,获得积分10
3秒前
4秒前
魔幻哈密瓜完成签到,获得积分10
4秒前
h1352216完成签到,获得积分10
5秒前
boboking完成签到,获得积分10
5秒前
Yamila完成签到,获得积分10
5秒前
hehehe完成签到,获得积分10
5秒前
n0rthstar发布了新的文献求助10
6秒前
JamesPei应助wblydz采纳,获得10
7秒前
哈哈哈发布了新的文献求助10
7秒前
小董不懂发布了新的文献求助10
7秒前
zuzu发布了新的文献求助10
8秒前
lyre发布了新的文献求助10
8秒前
sugar完成签到,获得积分10
9秒前
一一完成签到,获得积分10
10秒前
好困应助Guoqiang采纳,获得30
10秒前
12秒前
劲爆巧克力完成签到,获得积分10
12秒前
13秒前
14秒前
吨吨发布了新的文献求助50
15秒前
研友_VZG7GZ应助n0rthstar采纳,获得10
15秒前
研友_n2KyPZ完成签到,获得积分10
16秒前
英姑应助halona采纳,获得10
17秒前
饱满绮波发布了新的文献求助10
18秒前
maonaiqian完成签到,获得积分10
18秒前
18秒前
巫雁发布了新的文献求助10
19秒前
19秒前
殇春秋发布了新的文献求助10
19秒前
高分求助中
Sustainability in Tides Chemistry 2000
Bayesian Models of Cognition:Reverse Engineering the Mind 800
Essentials of thematic analysis 700
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Внешняя политика КНР: о сущности внешнеполитического курса современного китайского руководства 500
Revolution und Konterrevolution in China [by A. Losowsky] 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3123170
求助须知:如何正确求助?哪些是违规求助? 2773659
关于积分的说明 7718928
捐赠科研通 2429325
什么是DOI,文献DOI怎么找? 1290230
科研通“疑难数据库(出版商)”最低求助积分说明 621795
版权声明 600251