How to accurately predict nanoscale flow: Theory of single-phase or two-phase?

相间 两相流 流量(数学) 机械 纳米尺度 相(物质) 流速 流体力学 物理 赫尔肖流 热力学 材料科学 明渠流量 纳米技术 生物 量子力学 遗传学
作者
Chengzhen Sun,Runfeng Zhou,Bofeng Bai
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:35 (1) 被引量:17
标识
DOI:10.1063/5.0134510
摘要

Accurate evaluation and recognition of nanoscale flow is the premise of the extension of classical theories of fluid mechanics to nanoscales. Despite the widely reported nonuniform characteristics of nanoconfined fluids, nanoscale flow is still considered as a single-phase flow in general, resulting in large deviations in theoretical predictions of velocity profile and flow rate. Considering the significant characteristics of a two-phase flow in nanoscales and the similarity between nanoscale flow and gas–liquid two-phase annular flow, we put forward a novel viewpoint that nanoscale flows should be described based on the theory of a two-phase flow. To support this idea, nanoscale flows under different fluid types, densities, temperatures, fluid–solid interactions, and driving pressures are extensively tested using molecular dynamics simulations. The results demonstrate that nanoscale flows can be divided into an adsorption phase and a bulk phase, and the characteristics of a two-phase flow are especially obvious under low fluid density, strong fluid–solid interaction, and low fluid temperature. The reasonability is further demonstrated by systematically analyzing the interphase density difference, interphase velocity difference, interphase mass exchange, and interfacial fluctuation, which are typical characteristics of a two-phase flow at macroscales. Finally, we present a series of theoretical descriptions of nanoscale flow from the perspective of a two-phase flow. By adopting different viscosity and density in the adsorption phase and bulk phase, the new model can better capture the physical details of nanoscale flow, such as velocity distribution and flow rate.
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
夜风完成签到,获得积分10
1秒前
bkagyin应助可爱柠檬采纳,获得10
1秒前
1秒前
1秒前
阔达夏天发布了新的文献求助20
2秒前
2秒前
Copyright应助芒果椰椰采纳,获得10
2秒前
科研通AI2S应助芒果椰椰采纳,获得10
2秒前
Let It Be完成签到 ,获得积分10
2秒前
Criminology34应助芒果椰椰采纳,获得10
2秒前
koly完成签到 ,获得积分0
3秒前
斯文败类应助止咳糖江采纳,获得10
3秒前
3秒前
ddddd完成签到,获得积分20
4秒前
4秒前
4秒前
4秒前
4秒前
无花果应助诚心的黑猫采纳,获得10
5秒前
5秒前
July完成签到,获得积分10
5秒前
李爱国应助进化中的细胞采纳,获得10
5秒前
JamesPei应助如此采纳,获得10
5秒前
香蕉觅云应助奋斗的信封采纳,获得10
6秒前
橙子关注了科研通微信公众号
6秒前
月亮睡啦发布了新的文献求助10
6秒前
Polly完成签到,获得积分10
6秒前
清脆稀完成签到,获得积分10
7秒前
小拉卡咪发布了新的文献求助10
7秒前
滔滔完成签到,获得积分10
8秒前
8秒前
冰糖葫芦完成签到,获得积分10
9秒前
9秒前
友好峻熙完成签到,获得积分10
10秒前
Yunni完成签到,获得积分10
10秒前
开放子默发布了新的文献求助10
10秒前
sagitar应助小范采纳,获得40
10秒前
迅速彩虹完成签到,获得积分10
10秒前
东方完成签到,获得积分10
11秒前
chai发布了新的文献求助10
11秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 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 7248141
求助须知:如何正确求助?哪些是违规求助? 8871083
关于积分的说明 18715513
捐赠科研通 6927189
什么是DOI,文献DOI怎么找? 3198137
关于科研通互助平台的介绍 2373857
邀请新用户注册赠送积分活动 2172991