Designable microfluidic ladder networks from backstepping microflow analysis for mass production of monodisperse microdroplets

微流控 分散性 反推 微通道 纳米技术 材料科学 计算机科学 人工智能 控制(管理) 自适应控制 高分子化学
作者
Chuan-Fu Deng,Yao-Yao Su,Shi-Hao Yang,Qing-Rong Jiang,Rui Xie,Xiao‐Jie Ju,Zhuang Liu,Dawei Pan,Wei Wang,Liang‐Yin Chu
出处
期刊:Lab on a Chip [Royal Society of Chemistry]
卷期号:22 (24): 4962-4973 被引量:1
标识
DOI:10.1039/d2lc00771a
摘要

Controllable mass production of monodisperse droplets plays a key role in numerous fields ranging from scientific research to industrial application. Microfluidic ladder networks show great potential in mass production of monodisperse droplets, but their design with uniform microflow distribution remains challenging due to the lack of a rational design strategy. Here an effective design strategy based on backstepping microflow analysis (BMA) is proposed for the rational development of microfluidic ladder networks for mass production of controllable monodisperse microdroplets. The performance of our BMA rule for rational microfluidic ladder network design is demonstrated by using an existing analogism-derived rule that is widely used for the design of microfluidic ladder networks as the control group. The microfluidic ladder network designed by the BMA rule shows a more uniform flow distribution in each branch microchannel than that designed by the existing rule, as confirmed by single-phase flow simulation. Meanwhile, the microfluidic ladder network designed by the BMA rule allows mass production of droplets with higher size monodispersity in a wider window of flow rates and mass production of polymeric microspheres from such highly monodisperse droplet templates. The proposed BMA rule provides new insights into the microflow distribution behaviors in microfluidic ladder networks based on backstepping microflow analysis and provides a rational guideline for the efficient development of microfluidic ladder networks with uniform flow distribution for mass production of highly monodisperse droplets. Moreover, the BMA method provides a general analysis strategy for microfluidic networks with parallel multiple microchannels for rational scale-up.
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