Investigation of Interfacial Thermal Resistance on Nano-Structures Using Molecular Dynamics Simulations

作者
Navdeep Singh,Debjyoti Banerjee
出处
期刊:2010 14th International Heat Transfer Conference, Volume 6 卷期号:: 427-431 被引量:1
标识
DOI:10.1115/ihtc14-22930
摘要

Due to their very high thermal conductivity carbon nanotubes have been found to be an excellent material for thermal management. Experiments have shown that the heaters coated with carbon nanotubes increase the heat transfer by as much as 60%. Also when nanotubes are used as filler materials in composites, they tend to increase the thermal conductivity of the composites. But the increase in the heat transfer and the thermal conductivity has been found to be much less than the calculated values. This decrease has been attributed to the interfacial thermal resistance between the carbon nanotubes and the surrounding material. MD simulations were performed to study the interfacial thermal resistance between the carbon nanotubes and the liquid molecules. In the simulations, the nanotube is placed at the center of the simulation box and a temperature of 300K is imposed on the system. Then the temperature of the nanotube is raised instantaneously and the system is allowed to relax. From the temperature decay, the interfacial thermal resistance between the carbon nanotube and the liquid molecules is calculated. In this study the liquid molecules under investigation are n-heptane, n-tridecane and n-nonadecane.

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
1秒前
动听的秋白完成签到 ,获得积分10
1秒前
1秒前
2秒前
月落西山完成签到,获得积分20
4秒前
4秒前
NexusExplorer应助hanjresearch采纳,获得10
4秒前
朝花夕拾发布了新的文献求助10
5秒前
5秒前
9秒前
飞翔完成签到,获得积分10
9秒前
珠颈斑鸠发布了新的文献求助30
10秒前
JRALL完成签到 ,获得积分10
11秒前
cccc发布了新的文献求助30
11秒前
12秒前
科研通AI6.4应助九三采纳,获得10
12秒前
pond发布了新的文献求助10
12秒前
13秒前
xxxdie完成签到,获得积分20
13秒前
七听应助风中亦巧采纳,获得30
13秒前
芋泥完成签到,获得积分20
15秒前
16秒前
17秒前
D調完成签到,获得积分10
17秒前
18秒前
djbj2022发布了新的文献求助20
18秒前
无聊科研发布了新的文献求助10
18秒前
隐形曼青应助Caleb采纳,获得10
18秒前
20秒前
wyuanhu完成签到,获得积分0
20秒前
栗子栗栗子完成签到,获得积分10
21秒前
听话的采蓝完成签到,获得积分10
21秒前
22秒前
科研通AI6.2应助暗弱采纳,获得10
22秒前
公司账号2发布了新的文献求助10
24秒前
111发布了新的文献求助10
24秒前
打打应助Eazin采纳,获得10
25秒前
光亮豆芽完成签到,获得积分10
25秒前
领导范儿应助琦酱采纳,获得10
25秒前
26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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The Effective Clinical Neurologist 3ed 500
The Great Hymn to Šamaš 500
Moody's Ratings Rising AI spending narrows the gap, but US hyperscalers retain edge over Chinese peers 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7695801
求助须知:如何正确求助?哪些是违规求助? 9256215
关于积分的说明 20001231
捐赠科研通 7270224
什么是DOI,文献DOI怎么找? 3292578
关于科研通互助平台的介绍 2448209
邀请新用户注册赠送积分活动 2298236