3D boron nitride foam filled epoxy composites with significantly enhanced thermal conductivity by a facial and scalable approach

热导率 材料科学 复合材料 环氧树脂 氮化硼 电介质 微电子 热传导 聚合物 纳米技术 光电子学
作者
Xinwei Xu,Renchao Hu,Meiyu Chen,Jiufeng Dong,Bin Xiao,Qing Wang,Hong Wang
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:397: 125447-125447 被引量:260
标识
DOI:10.1016/j.cej.2020.125447
摘要

Polymer composites with excellent thermal conductivity, low dielectric constant and low dielectric loss are urgently required for microelectronics and wireless communication systems. However, traditional thermal conductive polymer composites realized by simply adding inorganic fillers, cannot have high thermal conductivity and good electrical insulation concurrently, which greatly hinders the practical application. In this work, a facile and scalable assembly technique to construct a three-dimensional boron nitride foam (3D-BN) for the formation of 3D-BN/epoxy composites has been proposed to address this long-standing challenge. Herein we built a self-support and pressure reinforced 3D-BN foam composed of only bulk-BN microplates to serve as the thermal pathway. The obtained composite with greatly enhanced thermal conductivity enhancement (TCE) exhibits the highest through-plane thermal conductivity of 6.11 W m−1 K−1 ever reported for bulk-BN polymer composites. Further analysis by finite element simulation revealed that the high thermal conductivity is attributed to the polymer-free, pressure reinforced 3D-BN foam which serves as a more effective pathway for the phonons transmission. This work offers an easy approach and provides a new paradigm for the fabrication and design of thermal management polymers.
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
司空蓝完成签到,获得积分10
2秒前
英俊的铭应助zoey采纳,获得10
2秒前
善学以致用应助mrastv采纳,获得10
3秒前
殷勤的紫槐应助shiyi0709采纳,获得200
3秒前
雇凶暗杀蛋饺完成签到,获得积分20
3秒前
lmm发布了新的文献求助10
5秒前
7秒前
小白t73完成签到 ,获得积分10
8秒前
CipherSage应助知性的问筠采纳,获得10
10秒前
阿媛呐发布了新的文献求助30
11秒前
zhinian完成签到 ,获得积分10
12秒前
赘婿应助lmm采纳,获得10
12秒前
水菜泽子发布了新的文献求助10
13秒前
15秒前
下一周完成签到,获得积分10
15秒前
19秒前
19秒前
wskslife完成签到,获得积分10
19秒前
th发布了新的文献求助10
20秒前
20秒前
22秒前
orixero应助笨笨映寒采纳,获得10
22秒前
彭于晏应助不麻怎么吃采纳,获得10
25秒前
25秒前
26秒前
27秒前
28秒前
oyq发布了新的文献求助10
29秒前
29秒前
32秒前
32秒前
32秒前
32秒前
蠢宝贝完成签到,获得积分10
32秒前
Sun发布了新的文献求助30
32秒前
32秒前
wanci应助科研通管家采纳,获得10
33秒前
33秒前
大个应助科研通管家采纳,获得10
33秒前
星辰大海应助不麻怎么吃采纳,获得10
33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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 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 6354926
求助须知:如何正确求助?哪些是违规求助? 8170080
关于积分的说明 17198757
捐赠科研通 5410900
什么是DOI,文献DOI怎么找? 2864148
邀请新用户注册赠送积分活动 1841694
关于科研通互助平台的介绍 1690148