Enhanced thermal conductivity in Ag-H2O nanofluids by nanoparticles of different shapes: Insights from molecular dynamics simulation

纳米流体 热导率 体积分数 材料科学 分子动力学 纳米颗粒 粒子(生态学) 体积热力学 纳米技术 热力学 复合材料 化学 计算化学 物理 海洋学 地质学
作者
Ruihao Zhang,Shan Qing,Xiaohui Zhang,Zhumei Luo,Yiqing Liu
出处
期刊:Journal of Molecular Liquids [Elsevier]
卷期号:388: 122750-122750 被引量:4
标识
DOI:10.1016/j.molliq.2023.122750
摘要

The mechanism of thermal conductivity enhancements and influential factors make a lot of sense in the intensive investigation of nanofluids. While numerous studies have explored the effect of solid–liquid interfacial layers on thermal conductivity improvement in water-based nanofluids with diverse applications, investigations into the intrinsic mechanisms underlying interfacial layers in relation to nanoparticle shape remain limited. The thermal conductivity of water-based Ag-H2O nanofluids was investigated using molecular dynamics simulations of non-equilibrium molecular dynamics (NEMD), with emphasis placed on the shape and volume fraction of nanoparticles. The influence of nanofluid volume fraction on thermal conductivity was revealed through visual analysis of 3D smoothed surface plots, highlighting the positive correlation between thermal properties and increasing volume fraction of nanoparticles. Moreover, the contribution of different shapes of silver nanoparticles to thermal conductivity enhancement demonstrated an increasing trend with the corresponding growth in surface-to-volume ratio (S/V values associated with different particle shapes). For the volume fraction of 1.5%, the minimum thermal conductivity enhancement of 22.75% was observed for the spherical shape, while the maximum thermal conductivity enhancement of 25.51% was achieved with the triple-platelet particles. Importantly, the comprehensive analysis of radial distribution function (RDF) and mean square displacement (MSD) indicated the positive effect of interfacial nanolayers influenced by nanoparticles of various shapes on the thermal conductivity of nanofluids. This study provides valuable insights into the impact of nanoparticle shape on the thermal properties of nanofluids, opening up promising prospects for future molecular dynamics simulations.
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
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
夏筱应助科研通管家采纳,获得10
刚刚
Hubert完成签到,获得积分10
刚刚
3秒前
xh完成签到,获得积分10
4秒前
4秒前
宇麦达发布了新的文献求助30
6秒前
栗子芸发布了新的文献求助20
7秒前
深情安青应助晓晓来了采纳,获得10
8秒前
8秒前
10秒前
10秒前
Who发布了新的文献求助10
11秒前
桐桐应助念与惜采纳,获得10
12秒前
思源应助Dr_Wang采纳,获得10
12秒前
zwww完成签到,获得积分10
13秒前
CSUST科研一哥完成签到,获得积分10
13秒前
17秒前
鲨鱼小乐发布了新的文献求助10
19秒前
李爱国应助栗子芸采纳,获得20
21秒前
syw完成签到,获得积分10
21秒前
最卷的卷心菜完成签到,获得积分10
22秒前
禾叶完成签到 ,获得积分10
22秒前
学习完成签到 ,获得积分10
23秒前
共享精神应助来天才采纳,获得10
24秒前
25秒前
26秒前
Lucas应助你好采纳,获得10
26秒前
鲨鱼小乐完成签到,获得积分10
27秒前
上官若男应助qq采纳,获得10
29秒前
syk应助雨er采纳,获得10
29秒前
纳若w发布了新的文献求助100
30秒前
西部森林完成签到,获得积分10
32秒前
萍子发布了新的文献求助30
33秒前
念与惜发布了新的文献求助10
33秒前
迷人的冰安完成签到,获得积分10
35秒前
36秒前
37秒前
李剑鸿发布了新的文献求助200
38秒前
杨颜静完成签到,获得积分10
38秒前
40秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Effect of reactor temperature on FCC yield 2000
How Maoism Was Made: Reconstructing China, 1949-1965 800
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
Shining Light on the Dark Side of Personality 400
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 3309724
求助须知:如何正确求助?哪些是违规求助? 2942954
关于积分的说明 8511920
捐赠科研通 2618053
什么是DOI,文献DOI怎么找? 1430781
科研通“疑难数据库(出版商)”最低求助积分说明 664310
邀请新用户注册赠送积分活动 649462