Research on the Separation Characteristics of Microplastic Particles in Straight-Channel Bionic Microfluidic Chips
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摘要:
为优化一种高效仿生微流控芯片,实现微塑料等微米级颗粒的高效、高通量分离,采用计算流体动力学与离散元耦合(CFD-DEM)的数值方法,对一种仿生微流控过滤结构的内部流场及颗粒分离机理进行了系统研究.研究总结了4种有趣的颗粒分离机理:低Reynolds数下,颗粒通过惯性聚焦效应进行分离;高Reynolds数下,颗粒依靠瓣膜前缘涡旋的捕获作用和通道末端瓣膜间的回流作用形成3种分离机理.最后,基于机理分析对芯片进行结构优化,通过增大副通道截面长度,实现了颗粒分离效率7.9%的最高提升,主通道流量占比平均降低7.2%,并使干净滤液产出最高增加9.4%.这些发现为高效仿生过滤膜的优化设计提供了理论支撑.
Abstract:To optimize an efficient biomimetic microfluidic chip for the highefficiency, highthroughput separation of micronsized particles such as microplastics, a computational fluid dynamic (CFD) coupled with discrete element method (DEM) numerical approach was employed to systematically investigate the internal flow field and particle separation mechanisms of a biomimetic microfluidic filtration structure. The 4 interesting particle separation mechanisms were summarized: at low Reynolds numbers, particles are separated through inertial focusing effects; at high Reynolds numbers, particles rely on the capture effect of vortices at the leading edge of the valve and the backflow effect between valves at the channel end to form 3 separation mechanisms. Finally, based on the mechanism analysis, the chip structure was optimized by increasing the crosssectional length of the auxiliary channel, to achieve a maximum improvement of 7.9% in particle separation efficiency, an average reduction of 7.2% in the main channel flow rate, and a maximum increase of 9.4% in the production of clean filtrate. These findings provide a theoretical support for the optimized design of efficient bionic filtration membranes.
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Key words:
- microfluidics /
- bionic structure /
- microplastic particle /
- particle filtration /
- CFD-DEM
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