Enhancing flow boiling using a microchannel with pillar–cavity mixed structures: A lattice Boltzmann study

物理 微通道 格子Boltzmann方法 支柱 沸腾 机械 流量(数学) 流动沸腾 统计物理学 热力学 核沸腾 传热 机械工程 传热系数 工程类
作者
Чен Жен,Qing Li,Wanxin Li,Xuezhen Sun
出处
期刊:Physics of Fluids [American Institute of Physics]
卷期号:36 (2)
标识
DOI:10.1063/5.0192403
摘要

Enhancement of flow boiling in microchannels through adjusting surface structures has attracted much attention in recent years. However, most of the existing studies focus on homogeneous surface structures. In the present study, a novel vertical microchannel with pillar–cavity mixed structures is conceived to enhance flow boiling heat transfer. In the mixed microchannel, cavities and pillars are distributed on the vertical sidewalls of the upstream and downstream flow channel, respectively. A multicomponent phase-change lattice Boltzmann model is employed to investigate the flow boiling performance of the mixed microchannel. Numerical results show that the cavities in the mixed microchannel can supply effective nucleation sites for timely departure of bubbles, while the pillars in the mixed microchannel can suppress the expansion of the vapor film from the outlet toward the inlet. Moreover, the bubbles from the upstream cavities can entrain the cold liquid to disrupt the vapor film covering the downstream pillars for the rewetting of the heated surface. As a result, the flow boiling performance can be significantly enhanced by the synergistic effect of the pillar and cavity structures, and the best flow boiling performance can be achieved by controlling the ratio of the number of cavities to the total number of structures in the mixed microchannel to optimize the synergistic effect. The influences of the structural parameters of pillars and cavities on the flow boiling performance have also been studied. It is found that the height of the pillars and the depth of the cavities have important influences on the flow boiling performance, while the boiling performance is not sensitive to the width of the pillars.

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
lcsw发布了新的文献求助10
1秒前
英姑应助huhutu采纳,获得30
1秒前
1秒前
QDDYR完成签到,获得积分10
1秒前
1733发布了新的文献求助30
2秒前
木木完成签到,获得积分10
3秒前
爆米花应助CaseyMelkus采纳,获得10
3秒前
AST完成签到,获得积分10
3秒前
HS完成签到,获得积分10
4秒前
5秒前
5秒前
6秒前
6秒前
BUWAN发布了新的文献求助10
6秒前
顾矜应助abu采纳,获得10
6秒前
852应助自然浩阑采纳,获得10
7秒前
蓝桉完成签到,获得积分10
7秒前
LJY发布了新的文献求助10
9秒前
顾矜应助xl采纳,获得10
9秒前
钰钧完成签到 ,获得积分10
9秒前
10秒前
mdie完成签到,获得积分10
10秒前
Timothy发布了新的文献求助10
10秒前
10秒前
10秒前
擎苍完成签到,获得积分10
11秒前
11秒前
11秒前
11秒前
11秒前
Yanglk发布了新的文献求助10
12秒前
12秒前
付涵发布了新的文献求助10
13秒前
fossil完成签到,获得积分10
13秒前
14秒前
共享精神应助鱼儿采纳,获得10
14秒前
完美世界应助CAN采纳,获得10
14秒前
严一勺发布了新的文献求助10
14秒前
高高大神发布了新的文献求助10
14秒前
15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 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
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
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Data book on fatigue strength of metallic materials 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 7566941
求助须知:如何正确求助?哪些是违规求助? 9147030
关于积分的说明 19559334
捐赠科研通 7153192
什么是DOI,文献DOI怎么找? 3262768
关于科研通互助平台的介绍 2428963
邀请新用户注册赠送积分活动 2252844