Study on Composite Material for Shielding Mixed Neutron and $\gamma$-Rays

电磁屏蔽 中子 伽马射线 材料科学 核物理学 物理 复合材料
作者
Huasi Hu,Qunshu Wang,Juan Qin,Yuh Lin Wu,Tiankui Zhang,Zhongliang Xie,Xinbiao Jiang,Guoguang Zhang,Hu Xu,Zheng Xiang-yang,Jing Zhang,Wenhao Liu,Zhenghong Li,Bo‐Ping Zhang,Linbo Li,Song Zhang,Xiaoping Ouyang,Junfeng Zhu,Yaolin Zhao,Xiaoqin Mi,Zhengping Dong,Cheng Li,Zhenyu Jiang,Yuanping Zhan
出处
期刊:IEEE Transactions on Nuclear Science [Institute of Electrical and Electronics Engineers]
卷期号:55 (4): 2376-2384 被引量:78
标识
DOI:10.1109/tns.2008.2000800
摘要

Optimized lightweight, compact and high temperature sustaining shielding materials for neutron and gamma radiation were developed by genetic algorithms (GA) combined with the Monte Carlo N-Particle (MCNP) code. A series of samples were designed according to the method. Deep penetration tests by the MCNP code were completed. The results show that the designed samples have more advantages related to the radiation shielding effects in comparison with PB202 and KRAFTON-XP3, especially the Cakes with multi-layers structures of the Fe-interlayer-Pb have excellent performance. Taking into account the ratios designed of components among elements in the material, the manufacturing process of polymer with nano-TiO 2 was studied experimentally by differential scanning calorimetry (DSC). Several samples have been tested. The attenuation experiments on the samples were carried out using tandem electrostatic accelerator neutron source, spontaneous fission neutron source of 252 Cf and gamma-rays source of 60 Co. The experimental results verify the correctness of optimal design and craft. The Cakes are quite suitable for applications in the practices of nuclear science and technology.

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
丘比特应助彬墩墩采纳,获得100
刚刚
SCINEXUS完成签到,获得积分0
刚刚
lalala完成签到,获得积分10
刚刚
李永畅完成签到,获得积分10
1秒前
无语的楼房完成签到,获得积分10
1秒前
1秒前
段一帆发布了新的文献求助10
1秒前
1秒前
小郭小郭福气多多完成签到,获得积分10
1秒前
乐观的幼珊完成签到,获得积分10
2秒前
2秒前
科研通AI6.2应助超级铅笔采纳,获得30
2秒前
2秒前
tw发布了新的文献求助30
2秒前
Ambition发布了新的文献求助10
2秒前
小星果茶完成签到,获得积分10
3秒前
从容迎曼完成签到 ,获得积分10
3秒前
3秒前
田田完成签到 ,获得积分10
3秒前
CipherSage应助初景采纳,获得10
4秒前
苍蓝寸心发布了新的文献求助10
4秒前
HOOW完成签到,获得积分10
5秒前
5秒前
Corundum发布了新的文献求助10
5秒前
6秒前
田tian完成签到,获得积分10
7秒前
小小黄爆哭完成签到,获得积分20
7秒前
eternity136发布了新的文献求助10
7秒前
若修完成签到,获得积分10
7秒前
俭朴新之完成签到 ,获得积分10
8秒前
huminjie完成签到 ,获得积分10
8秒前
Sumoon发布了新的文献求助10
8秒前
Fajr发布了新的文献求助10
8秒前
沐沧澜完成签到 ,获得积分10
9秒前
zengzeng完成签到,获得积分10
9秒前
yangyangyang完成签到,获得积分0
9秒前
风一样的我完成签到 ,获得积分0
9秒前
wolf完成签到,获得积分10
9秒前
JamesPei应助吼住吼住采纳,获得50
10秒前
zxcvbnm完成签到 ,获得积分10
10秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6487716
求助须知:如何正确求助?哪些是违规求助? 8286060
关于积分的说明 17673527
捐赠科研通 5576632
什么是DOI,文献DOI怎么找? 2913668
邀请新用户注册赠送积分活动 1890660
关于科研通互助平台的介绍 1748259