Entropic multiple-relaxation-time multirange pseudopotential lattice Boltzmann model for two-phase flow

雷诺数 格子Boltzmann方法 物理 韦伯数 表面张力 机械 两相流 缩放比例 流量(数学) 热力学 湍流 统计物理学 几何学 数学
作者
Feifei Qin,Ali Mazloomi Moqaddam,Qinjun Kang,Dominique Derome,Jan Carmeliet
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:30 (3) 被引量:52
标识
DOI:10.1063/1.5016965
摘要

An entropic multiple-relaxation-time lattice Boltzmann approach is coupled to a multirange Shan-Chen pseudopotential model to study the two-phase flow. Compared with previous multiple-relaxation-time multiphase models, this model is stable and accurate for the simulation of a two-phase flow in a much wider range of viscosity and surface tension at a high liquid-vapor density ratio. A stationary droplet surrounded by equilibrium vapor is first simulated to validate this model using the coexistence curve and Laplace’s law. Then, two series of droplet impact behavior, on a liquid film and a flat surface, are simulated in comparison with theoretical or experimental results. Droplet impact on a liquid film is simulated for different Reynolds numbers at high Weber numbers. With the increase of the Sommerfeld parameter, onset of splashing is observed and multiple secondary droplets occur. The droplet spreading ratio agrees well with the square root of time law and is found to be independent of Reynolds number. Moreover, shapes of simulated droplets impacting hydrophilic and superhydrophobic flat surfaces show good agreement with experimental observations through the entire dynamic process. The maximum spreading ratio of a droplet impacting the superhydrophobic flat surface is studied for a large range of Weber numbers. Results show that the rescaled maximum spreading ratios are in good agreement with a universal scaling law. This series of simulations demonstrates that the proposed model accurately captures the complex fluid-fluid and fluid-solid interfacial physical processes for a wide range of Reynolds and Weber numbers at high density ratios.
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
qinwuwu完成签到 ,获得积分10
刚刚
凶狗睡大石完成签到,获得积分10
1秒前
舒心的琦发布了新的文献求助10
1秒前
3秒前
无私的梦柏完成签到 ,获得积分10
3秒前
科研通AI6.3应助Ji采纳,获得10
3秒前
超能力完成签到,获得积分10
4秒前
Enthusiastic完成签到,获得积分10
5秒前
rrrrrr完成签到,获得积分10
5秒前
5秒前
5秒前
molihuakai应助菜菜爸爸采纳,获得10
7秒前
周末完成签到,获得积分10
7秒前
9秒前
Mark_Y完成签到 ,获得积分10
9秒前
11完成签到 ,获得积分10
9秒前
由哎完成签到,获得积分10
10秒前
YElv完成签到,获得积分10
10秒前
XRedHorse发布了新的文献求助10
11秒前
11秒前
11秒前
12秒前
12秒前
睡不醒的喵完成签到,获得积分10
13秒前
14秒前
柚子完成签到,获得积分10
15秒前
15秒前
贪玩星发布了新的文献求助10
15秒前
zjh完成签到,获得积分10
16秒前
Qinghua发布了新的文献求助30
16秒前
16秒前
16秒前
qin202569完成签到,获得积分10
17秒前
无花果应助haifeng采纳,获得10
17秒前
嘻嘻嘻完成签到 ,获得积分10
18秒前
陈家俊完成签到,获得积分10
18秒前
平淡冬亦完成签到 ,获得积分10
18秒前
雪原白鹿发布了新的文献求助20
19秒前
星上尔烟发布了新的文献求助10
19秒前
左丘傲菡发布了新的文献求助20
21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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 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 7254586
求助须知:如何正确求助?哪些是违规求助? 8876687
关于积分的说明 18742738
捐赠科研通 6935086
什么是DOI,文献DOI怎么找? 3200159
关于科研通互助平台的介绍 2374831
邀请新用户注册赠送积分活动 2175117