PMMA/MWCNT nanocomposite for proton radiation shielding applications

材料科学 纳米复合材料 电磁屏蔽 辐射屏蔽 质子 辐射 复合材料 光学 核物理学 物理
作者
Zhenhao Li,Siyuan Chen,Shruti Nambiar,Yonghai Sun,Mingyu Zhang,Wanping Zheng,John T. W. Yeow
出处
期刊:Nanotechnology [IOP Publishing]
卷期号:27 (23): 234001-234001 被引量:44
标识
DOI:10.1088/0957-4484/27/23/234001
摘要

Radiation shielding in space missions is critical in order to protect astronauts, spacecraft and payloads from radiation damage. Low atomic-number materials are efficient in shielding particle-radiation, but they have relatively weak material properties compared to alloys that are widely used in space applications as structural materials. However, the issues related to weight and the secondary radiation generation make alloys not suitable for space radiation shielding. Polymers, on the other hand, can be filled with different filler materials for reinforcement of material properties, while at the same time provide sufficient radiation shielding function with lower weight and less secondary radiation generation. In this study, poly(methyl-methacrylate)/multi-walled carbon nanotube (PMMA/MWCNT) nanocomposite was fabricated. The role of MWCNTs embedded in PMMA matrix, in terms of radiation shielding effectiveness, was experimentally evaluated by comparing the proton transmission properties and secondary neutron generation of the PMMA/MWCNT nanocomposite with pure PMMA and aluminum. The results showed that the addition of MWCNTs in PMMA matrix can further reduce the secondary neutron generation of the pure polymer, while no obvious change was found in the proton transmission property. On the other hand, both the pure PMMA and the nanocomposite were 18%-19% lighter in weight than aluminum for stopping the protons with the same energy and generated up to 5% fewer secondary neutrons. Furthermore, the use of MWCNTs showed enhanced thermal stability over the pure polymer, and thus the overall reinforcement effects make MWCNT an effective filler material for applications in the space industry.
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
刚刚
领导范儿的应助被xinyue采纳,获得10
刚刚
zlli完成签到,获得积分10
1秒前
1秒前
酷波er的应助被悦耳碧菡采纳,获得30
1秒前
慕青的应助被初景采纳,获得10
1秒前
2秒前
花凉完成签到,获得积分10
2秒前
旺仔仔发布了新的文献求助10
2秒前
吴应财完成签到,获得积分10
2秒前
3秒前
ZY发布了新的文献求助10
3秒前
4秒前
Au发布了新的文献求助30
4秒前
4秒前
cosmic完成签到,获得积分10
5秒前
AJ只想逛街完成签到,获得积分10
5秒前
腼腆的发箍完成签到,获得积分10
5秒前
5秒前
阳光千柔完成签到,获得积分10
6秒前
yuan发布了新的文献求助10
7秒前
SciGPT的应助被歌颂采纳,获得10
7秒前
ZHAN发布了新的文献求助10
7秒前
不拉点事发布了新的文献求助10
7秒前
怕黑的战斗机完成签到,获得积分20
7秒前
xy发布了新的文献求助10
8秒前
8秒前
南九发布了新的文献求助10
9秒前
kids完成签到 ,获得积分10
9秒前
123发布了新的文献求助10
10秒前
10秒前
10秒前
10秒前
科研通AI6.2的应助被czp采纳,获得10
11秒前
无聊的大神完成签到,获得积分10
11秒前
迷你的芙完成签到,获得积分20
11秒前
NANO发布了新的文献求助10
11秒前
12秒前
13秒前
13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
From Scaling and Perturbation to Stability 5000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8031301
求助须知:如何正确求助?哪些是违规求助? 9470154
关于积分的说明 21242148
捐赠科研通 7600956
什么是DOI,文献DOI怎么找? 3388687
关于科研通互助平台的介绍 2520987
邀请新用户注册赠送积分活动 2425635