亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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
荷兰香猪完成签到,获得积分10
刚刚
小羊蛇皮冰激凌完成签到,获得积分10
1秒前
spolo完成签到,获得积分10
1秒前
orange发布了新的文献求助10
1秒前
异氰酸正丙酯完成签到 ,获得积分10
2秒前
bkagyin应助chiaoyin999采纳,获得10
4秒前
科研通AI6.4应助大心采纳,获得10
5秒前
科研通AI6.2应助跳跃山柏采纳,获得10
7秒前
overThat完成签到,获得积分10
8秒前
科研通AI6.4应助likes采纳,获得10
11秒前
小蘑菇应助舒适忆南采纳,获得10
11秒前
李爱国应助chiaoyin999采纳,获得30
16秒前
nono完成签到,获得积分20
17秒前
ding应助Morssax采纳,获得10
21秒前
21秒前
大心完成签到,获得积分20
22秒前
研友_nq2AjZ完成签到,获得积分10
23秒前
ZhaohuaXie应助跳跃的曼荷采纳,获得10
24秒前
26秒前
尊敬怀柔完成签到 ,获得积分10
29秒前
Morssax发布了新的文献求助10
32秒前
32秒前
科研通AI6.3应助orange采纳,获得20
33秒前
jia完成签到,获得积分10
33秒前
科研通AI6.4应助哈哈哈采纳,获得10
34秒前
sealking发布了新的文献求助10
35秒前
缥缈的忆梅完成签到,获得积分10
36秒前
义气幼珊完成签到 ,获得积分10
37秒前
37秒前
朝阳完成签到,获得积分10
42秒前
科研通AI6.4应助chiaoyin999采纳,获得10
43秒前
43秒前
大方的小虾米完成签到,获得积分10
46秒前
小陈不尘完成签到 ,获得积分20
46秒前
50秒前
50秒前
51秒前
橡皮鱼完成签到,获得积分10
53秒前
54秒前
zhangfan发布了新的文献求助10
55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
Reading and Understanding Health Research 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 7252395
求助须知:如何正确求助?哪些是违规求助? 8874866
关于积分的说明 18733717
捐赠科研通 6932658
什么是DOI,文献DOI怎么找? 3199699
关于科研通互助平台的介绍 2374413
邀请新用户注册赠送积分活动 2174340