Doping method for opacifier and fiber in aerogel composites

气凝胶 复合材料 兴奋剂 材料科学 纤维 光电子学
作者
J.F. Guo,Yue Zhao,G.H. Tang
出处
期刊:Kexue tongbao [Science in China Press]
卷期号:62 (21): 2442-2450 被引量:1
标识
DOI:10.1360/n972016-00539
摘要

Silica aerogel as a super-insulating material is widely used in thermal protection system of spacecraft and aircraft. However, the significant radiative heat transfer causes obvious deterioration in the insulation capability of silica aerogel at high temperature because the pure silica aerogel is almost transparent to infrared radiation in such a spectrum range. Doping fibers or opacifiers could greatly improve the thermal insulation properties at high temperature. In this paper, we determine the optimal temperature-dependent size for typical opacifiers and silica fibers by calculating radiative properties. Suppose that the opacifier particles are spherical and the fiber is an infinite cylinder. According to the Mie scattering theory, the extinction efficiency factor of single opacifier particle and single fiber could be obtained. Then, the extinction coefficient could be calculated which characterizes thermal insulation performance of aerogel composites. The results show that the radiative thermal conductivity increases with increasing temperature, thus smaller particles and thinner fibers are more suitable for doping at high temperature. In addition, the carbon black has the best extinction characteristic in the four types of studied opacifiers (carbon black, SiC, ZrO2 and TiO2), but it will be oxidized at high temperature. Compared with TiO2 and ZrO2, the insulating performance of the SiC opacifier is more effective at high temperature. Although doping opacifier or fiber in silica aerogel provides a better extinction function, it might increase the heat conduction. Therefore, we could achieve an optimal doping amount at the minimum effective thermal conductivity, in other words, the highest insulating capability. The effective thermal conductivity in doped silica aerogel is equal to the sum of the conductive thermal conductivity and the radiative thermal conductivity. The optimal temperature-dependent doping amount is obtained by minimizing the effective thermal conductivity. The results show that the optimal doping of both opacifier and fiber amount in silica aerogel increases with the temperature. In addition, the carbon black behaves the strongest ability to inhibit heat transfer when the temperature is below 600K, while the SiC doped silica aerogel has the most effective performance in suppressing heat transfer when the temperature is higher than 600K. Optimized results were applied to design multi-layer doping with a temperature gradient. Each layer is doped with the corresponding optimal size and amount of opacifiers and fibers according to the temperature. Assuming that the temperature changes linearly in the direction of heat transfer, we studied four multi-layer solutions as follows. Solution 1 is the only SiC opacifier multi-layer doping. Solution 2 is SiC and carbon black opacifier multi-layer doping. Carbon black opacifier only exists in the temperature below 600K, otherwise the SiC is doped, which could ensure that only a single type of opacifier was doped for each layer. Solution 3 is the only silica fiber multi-layer doping. Solution 4 is the optimal co-doping of opacifier and silica fiber, which is similar to Solution 2 but mingled with silica fiber in each layer. The results show that the silica fiber only doping has the smallest effective thermal conductivity, and the co-doped silica aerogel with carbon black, SiC opacifier and silica fiber has the smallest radiative thermal conductivity. To verify the above results, the back temperature curve of doped silica aerogel was measured. Silica aerogel doped with various types of opacifiers and SiC in different particle sizes and doping amounts were considered. In addition, the back temperature of SiC-multi-layer doped silica aerogel was investigated. The predictions agree with experimental results qualitatively.

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
赵康康发布了新的文献求助10
1秒前
顺利的绿真给顺利的绿真的求助进行了留言
1秒前
单薄新烟完成签到,获得积分10
2秒前
熊熊面包应助酥糖采纳,获得10
2秒前
2秒前
3秒前
ZHAO完成签到,获得积分10
3秒前
大个应助wxyes采纳,获得10
3秒前
FashionBoy应助申思采纳,获得10
5秒前
hyx9504发布了新的文献求助10
7秒前
8秒前
呆瓜发布了新的文献求助10
8秒前
9秒前
ww007完成签到,获得积分10
10秒前
11秒前
12秒前
12秒前
我是老大应助耍酷的白山采纳,获得10
13秒前
14秒前
drift发布了新的文献求助10
14秒前
顾矜应助迷人芫采纳,获得10
14秒前
妳wowowo完成签到,获得积分10
14秒前
Akim应助qwe22222222222采纳,获得20
15秒前
16秒前
maxi发布了新的文献求助10
17秒前
18秒前
风趣冰棍发布了新的文献求助10
18秒前
sow发布了新的文献求助10
19秒前
yhchow0204完成签到,获得积分10
19秒前
19秒前
itis发布了新的文献求助30
20秒前
21秒前
李萌萌发布了新的文献求助20
22秒前
22秒前
Wxl完成签到,获得积分10
24秒前
24秒前
狂奔的翔发布了新的文献求助10
25秒前
HEIKU应助贪玩的豪英采纳,获得10
25秒前
科研通AI2S应助sow采纳,获得10
26秒前
SciGPT应助sow采纳,获得10
26秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 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 3129605
求助须知:如何正确求助?哪些是违规求助? 2780380
关于积分的说明 7747647
捐赠科研通 2435666
什么是DOI,文献DOI怎么找? 1294216
科研通“疑难数据库(出版商)”最低求助积分说明 623601
版权声明 600570