Few-layer hexagonal boron nitride / 3D printable polyurethane composite for neutron radiation shielding applications

材料科学 中子 电磁屏蔽 复合材料 复合数 聚氨酯 中子温度 中子俘获 中子毒 中子光谱学 中子散射 核物理学 物理
作者
Jonathan C. Knott,Hadis Khakbaz,J. L. Allen,Liang Wu,Richard A. Mole,Chris Baldwin,Andrew Nelson,Anna Sokolova,Stephen Beirne,Peter C. Innis,Dillon G. Frost,David Cortie,K. C. Rule
出处
期刊:Composites Science and Technology [Elsevier]
卷期号:233: 109876-109876 被引量:11
标识
DOI:10.1016/j.compscitech.2022.109876
摘要

Functional polymer composites can confer a range of benefits in practical applications that go beyond the individual properties of the constituent materials. Here we investigate and characterize the neutron absorbing capability of few-layer hexagonal boron nitride (h-BN) in composite with a 3D-printable thermoplastic polyurethane, and present experiment and simulation data to understand the processes and mechanisms in play. Shielding and protection from neutrons can be necessary in a range of terrestrial and space-based applications. The neutron absorption of composites with varying fractions of h-BN is strongly energy-dependent in the low-energy regime below 10 meV, and a composite containing 20 wt% h-BN shows a 70-fold reduction in the transmission relative to pure polyurethane at 0.5 meV neutron energies. This is attributed to the strong neutron capture cross-section of the naturally abundant boron-10 isotope, with energy-dependent measurements up to 100 meV confirming this point. Using inelastic neutron spectroscopy, we identify additional effects from the hydrogen in the polyurethane which both scatters diffusively and moderates neutrons inelastically via its phonon spectrum, enhancing the neutron absorption characteristics. Two models – based on analytic functions and Monte Carlo numerical techniques – are presented, and show excellent agreement with experiment results. The 3D-printability of the composite is demonstrated, and the opportunities and challenges for deploying these composites in neutron radiation protection applications are discussed.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Akim应助FC采纳,获得10
刚刚
1秒前
1秒前
1秒前
Austin关注了科研通微信公众号
1秒前
所所应助复方蛋酥卷采纳,获得20
2秒前
kk完成签到,获得积分10
3秒前
哈尔婧完成签到,获得积分10
3秒前
韦谷兰发布了新的文献求助10
4秒前
5秒前
5秒前
cxd完成签到,获得积分10
5秒前
二零三发布了新的文献求助20
5秒前
Awen07发布了新的文献求助30
6秒前
6秒前
6秒前
许文静发布了新的文献求助10
7秒前
tyh完成签到,获得积分20
7秒前
7秒前
量子星尘发布了新的文献求助10
7秒前
wangyuanyuan完成签到,获得积分10
8秒前
8秒前
jie发布了新的文献求助10
8秒前
8秒前
8秒前
9秒前
9秒前
zzer完成签到,获得积分10
9秒前
小华发布了新的文献求助50
9秒前
小马甲应助牛战士采纳,获得10
10秒前
邵大王完成签到,获得积分10
10秒前
kk发布了新的文献求助30
11秒前
开心就好发布了新的文献求助10
11秒前
11秒前
tyh发布了新的文献求助10
11秒前
四海发布了新的文献求助10
12秒前
111111发布了新的文献求助10
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
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1000
Efficacy of sirolimus in Klippel-Trenaunay syndrome 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5480228
求助须知:如何正确求助?哪些是违规求助? 4581437
关于积分的说明 14380635
捐赠科研通 4510045
什么是DOI,文献DOI怎么找? 2471647
邀请新用户注册赠送积分活动 1458035
关于科研通互助平台的介绍 1431786