Time-mean equation and multi-field coupling numerical method for low-Reynolds-number turbulent flow in ferrofluid

磁流体 湍流 物理 机械 雷诺数 磁场 流体力学 经典力学 流量(数学) 量子力学
作者
Wangxu Li,Zhenggui Li,Wei Han,Shanwen Tan,Shengnan Yan,Dongwei Wang,Shiqi Yang
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:35 (12) 被引量:27
标识
DOI:10.1063/5.0179961
摘要

Significant breakthroughs in the theory and applications of ferrofluid have broadened their usage in areas such as sealing and actuation. However, the development of numerical ferrofluid dynamics has been slow owing to inadequate multi-field coupling techniques and incomplete equations for turbulence in ferrofluid flow. The understanding of low-Reynolds-number turbulent flow mechanisms in ferrofluid at small scales, particularly in sealing and actuation applications, remains limited, therefore hindering further advancements. This article delves into the turbulent flow equations for general fluid and discusses the influence of different-scale vortices on the average fluid motion. An anisotropic turbulence model was introduced and verified using fluid flow around a cylinder. Magnetic and flow fields data were coupled through node ranking and interpolation methods. By introducing the interaction force of magnetic dipoles, the turbulent equations were refined within Euler grids, thereby establishing a numerical model for the turbulent motion of ferrofluids influenced by multiple fields. This model was applied to study the deformation and migration processes of ferrofluid under an external magnetic field. The variations in ferrofluid motion under magnetic forces were encapsulated, and macroscopic flow comparisons were made through experiments, which demonstrated good consistency. This research provides new methods and ideas for use in ferrofluid numerical studies. Additionally, it offers valuable technical support that can aid in developing industrial products such as sealing and driving devices based on ferrofluids.
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
hggyt发布了新的文献求助10
1秒前
3秒前
slz发布了新的文献求助10
3秒前
4秒前
んな完成签到 ,获得积分10
4秒前
slyzs发布了新的文献求助10
4秒前
lalala完成签到,获得积分10
7秒前
机灵石头发布了新的文献求助200
8秒前
8秒前
9秒前
小席要进步完成签到 ,获得积分10
9秒前
Profeto发布了新的文献求助10
10秒前
帝国超级硕士完成签到,获得积分10
11秒前
谷子完成签到,获得积分10
12秒前
贼吖完成签到 ,获得积分10
13秒前
松山小吏发布了新的文献求助10
13秒前
14秒前
15秒前
Profeto完成签到,获得积分10
15秒前
slz发布了新的文献求助10
15秒前
科研通AI6.4应助edtaa采纳,获得10
16秒前
16秒前
16秒前
19秒前
20秒前
20秒前
20秒前
wanci完成签到,获得积分0
22秒前
23秒前
んな发布了新的文献求助10
23秒前
嘶ze发布了新的文献求助10
23秒前
25秒前
25秒前
香蕉觅云应助义气翩跹采纳,获得10
26秒前
Fu发布了新的文献求助10
26秒前
淡定绮波发布了新的文献求助10
28秒前
28秒前
28秒前
28秒前
科研大王发布了新的文献求助10
29秒前
高分求助中
Markov Chain Monte Carlo 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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 750
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
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 7527625
求助须知:如何正确求助?哪些是违规求助? 9113862
关于积分的说明 19466197
捐赠科研通 7129427
什么是DOI,文献DOI怎么找? 3255948
关于科研通互助平台的介绍 2423704
邀请新用户注册赠送积分活动 2243423