阶梯式T型微通道内液滴、气泡分散规律

陈宇超; 崔永晋; 王凯; 骆广生

doi:10.11949/0438-1157.20191214

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阶梯式T型微通道内液滴、气泡分散规律

流体力学与传递现象 | 更新时间：2026-07-24

- 阶梯式T型微通道内液滴、气泡分散规律
- Droplet and bubble dispersion instep T-junction microchannel
- 化工学报 2020年71卷第1期页码：265-273
- 作者机构：
  
  清华大学化学工程系，化学工程联合国家重点实验室，北京 100084
- 作者简介：
  
  陈宇超（1994—），男，博士研究生，cyc_86y@163.com
  骆广生（1964—），男，博士，教授，gsluo@tsinghua.edu.cn
- 基金信息：
  
  国家重点研发计划项目(2017YFB0307102);国家自然科学基金项目(91334201)
- DOI：10.11949/0438-1157.20191214
  中图分类号： TQ 021.1
- 收稿：2019-10-23，
  
  修回：2019-10-31，
  
  网络首发：2020-08-12，
  
  纸质出版：2020-01-05
- 稿件说明：
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陈宇超, 崔永晋, 王凯, 骆广生. 阶梯式T型微通道内液滴、气泡分散规律[J]. 化工学报, 2020, 71(1): 265-273

CHEN Yuchao, CUI Yongjin, WANG Kai, LUO Guangsheng. Droplet and bubble dispersion instep T-junction microchannel[J]. CIESC Journal, 2020, 71(1): 265-273
陈宇超, 崔永晋, 王凯, 骆广生. 阶梯式T型微通道内液滴、气泡分散规律[J]. 化工学报, 2020, 71(1): 265-273 DOI： 10.11949/0438-1157.20191214.

CHEN Yuchao, CUI Yongjin, WANG Kai, LUO Guangsheng. Droplet and bubble dispersion instep T-junction microchannel[J]. CIESC Journal, 2020, 71(1): 265-273 DOI： 10.11949/0438-1157.20191214.

摘要

采用高速摄像仪对嵌入毛细管的阶梯式T型微通道内液滴和气泡的分散规律进行研究。考察了两相流量、黏度、表面活性剂浓度等因素对分散流型及分散尺寸的影响规律。结果表明，对于液滴分散过程，表面活性剂的浓度和连续相流量决定了分散流型，随二者增大，流型从dripping流向jetting流转变。对于气泡分散过程，实验范围内仅存在squeezing、dripping流型，表面活性剂的加入对气泡分散过程影响可忽略。嵌入毛细管的阶梯式T型微通道内获得的液滴、气泡直径小于微通道直径，根据实验结果基于两相流量和毛细管数分别建立了计算液滴、气泡分散尺寸的半经验模型，模型与实验结果符合良好。

Abstract

A high-speed camera was used to study the dispersion of droplets and bubbles in a stepped T-microchannel embedded in a capillary. Effects of two-phase flow

viscosity and surfactant on the flow pattern and the size of droplet and bubble were investigated. The results show that for the droplet dispersion system

the flow pattern is determined by the concentration of the surfactant and the continuous phase flow rate. The flow pattern changes from dripping flow to jetting flow as the two factors increase. For the bubble dispersion system

only the squeezing and dripping flow patterns exist. Addition of the surfactant has almost no effect on the bubble dispersion. The droplet and bubble size could be much smaller than channel size. Mathematical models for predicting the dispersion size in different systems are established

and the models have good prediction performances.

关键词

Keywords

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