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液滴微流控技术在化学分析、生物检测及材料制备等领域具有巨大的应用潜力, 被动生成液滴方法主要依赖微通道几何特性与剪切流动就能够快速实现液滴生成. 其中, 十字微通道作为典型结构, 其流体参数和对称性差异对液滴生成过程的影响尚未得到充分研究. 因此, 本文采用格子Boltzmann方法开展对称与非对称十字微通道内的液滴生成过程的数值模拟研究, 系统地分析了毛细数、黏度比及流道对称性的作用机制. 本文首先通过平板剪切流动下液滴变形和理想固体表面静止液滴这两个经典算例验证了数值模型的计算可靠性, 然后围绕对称十字微通道内水相流体“界面浸入-剪切断裂-液滴迁移和融合”三个流动阶段展开研究, 分析了毛细数和两相黏度比的协同作用机制. 在此基础上, 进一步量化了流道对称性对十字微通道内液滴生成过程的影响. 相关研究结果为微流道设计和液滴微流控的流体参数调控提供了理论依据, 并进一步推动液滴微流控技术的应用和发展.Droplet microfluidics technology possesses significant potential applications in chemical analysis, biological detection, and material preparation. Passive droplet generation method can rapidly achieve droplet formation by using the geometric characteristics of microchannels and shear flow. As a typical structure, the influences of fluid parameters and symmetry differences in cross microchannels on the droplet generation process have not been fully studied. Therefore, this paper uses the lattice Boltzmann method to numerically simulate droplet generation in symmetric and asymmetric cross microchannels, thereby systematically analyzing the action mechanisms of capillary number, viscosity ratio, and microchannel symmetry. First, this study verifies the computational reliability of the numerical model through two classic cases, i.e. the droplet deformation under planar shear flow and stationary droplets on ideal solid surfaces. Then, this work focuses on studying the three flow stages in symmetric cross microchannels, i.e. interface immersion stage, shear-induced breakup stage, and the droplet migration and coalescence stage, and analyzes the synergistic mechanism of capillary number and viscosity ratio. In the symmetric cross microchannel structure, the capillary number is the main factor determining the droplet size in the cross microchannel. With the increase of the capillary number, the surface tension gradually weakens, causing the liquid bridge at the droplet neck to break more easily and generate droplets. In contrast, the effect of the viscosity ratio on the droplet size is relatively small, but it can suppress the generation of sub-droplets and improve the uniformity of droplets by adjusting the viscous resistance of the continuous phase. On this basis, this study further quantifies the influence of microchannel symmetry on the droplet generation process in cross microchannels. In the asymmetric cross microchannel structure, the microchannel deviation breaks the flow symmetry and weakens the cooperative shearing effect of the oil-phase fluid on the immersion structure of the water-phase fluid. When the microchannel deviates within the centerline range of the water-phase microchannel, the droplet size increases significantly with the increase of the microchannel deviation. This is mainly because the oil-phase fluid on the side far from the deviation first squeezes the immersion structure of the water-phase fluid, and then the oil-phase fluid near the deviation side exerts a secondary squeeze on the immersion structure, causing the neck liquid bridge of the immersion structure to continuously elongate and the shear position to shift along the microchannel deviation direction. When the microchannel deviation exceeds the centerline position of the water-phase microchannel, the interface fracture of the water-phase immersion structure mainly relies on the double squeezing effect of the oil-phase fluid and the surface tension of water-phase fluid, and the droplet size tends to be stable. The relevant research results lay a theoretical foundation for microchannel design and fluid parameter regulation in droplet microfluidics and thus further promote the application and development of droplet microfluidic technology.
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Keywords:
- droplet generation /
- multiphase flow /
- lattice Boltzmann method /
- diffuse interface method /
- microfluidic technology
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[1] Zhu P, Wang L 2017 Lab Chip 17 34
Google Scholar
[2] Cybulski O, Garstecki P, Grzybowski B A 2019 Nat. Phys. 15 706
Google Scholar
[3] Chen P C, Wu M H, Wang Y N 2014 Microfluid. Nanofluid. 17 275
Google Scholar
[4] Li X, Li D, Liu X, Chang H 2016 Sens. Actuators, B 229 466
Google Scholar
[5] Theberge A B, Courtois F, Schaerli Y, Fischlechner M, Abell C, Hollfelder F, Huck W T S 2010 Angew. Chem. Int. Ed. 49 5846
Google Scholar
[6] Teo A J T, Tan S H, Nguyen N T 2020 Anal. Chem. 92 1147
Google Scholar
[7] Zhang Q, Li H, Zhu C, Fu T, Ma Y, Li H Z 2018 Colloids Surf. , A 537 572
Google Scholar
[8] Jin S, Wei X, Liu Z, Ren J, Jiang Z, Abell C, Yu Z 2019 Sens. Actuators, B 291 1
[9] Zhang H, Palit P, Liu Y, Vaziri S, Sun Y 2020 ACS Appl. Mater. Interfaces 12 26936
Google Scholar
[10] Thorsen T, Roberts R W, Arnold F H, Quake S R 2001 Phys. Rev. Lett. 86 4163
Google Scholar
[11] Zhang Y Y, Xia H M, Wu J W, Zhang J, Wang Z P 2019 Appl. Phys. Lett. 114 073701
Google Scholar
[12] Zhang Y Y, Xia H M 2022 Sens. Actuators, B 368 132183
Google Scholar
[13] Dreyfus R, Tabeling P, Willaime H 2003 Phys. Rev. Lett. 90 144505
Google Scholar
[14] Tan Y C, Cristini V, Lee A P 2006 Sens. Actuators, B 114 350
Google Scholar
[15] Chae S K, Lee C H, Lee S H, Kim T S, Kang J Y 2009 Lab Chip 9 1957
Google Scholar
[16] Nisisako T, Hatsuzawa T 2010 Microfluid. Nanofluid. 9 427
Google Scholar
[17] Liu H, Zhang Y 2011 Commun. Comput. Phys. 9 1235
Google Scholar
[18] Rostami B, Morini G L 2019 Exp. Therm. Fluid Sci. 103 191
Google Scholar
[19] Yu W, Liu X, Zhao Y, Chen Y 2019 Chem. Eng. Sci. 203 259
Google Scholar
[20] Nozaki Y, Yoon D H, Furuya M, Fujita H, Sekiguchi T, Shoji S 2021 Sens. Actuators, A 331 112917
Google Scholar
[21] Liu Z, Ma Y, Wang X, Pang Y, Ren Y, Li D 2022 Exp. Therm. Fluid Sci. 139 110739
Google Scholar
[22] Umbanhowar P B, Prasad V, Weitz D A 2000 Langmuir 16 347
Google Scholar
[23] Utada A S, Lorenceau E, Link D R, Kaplan P D, Stone H A, Weitz D A 2005 Science 308 537
Google Scholar
[24] Garstecki P, Fuerstman M J, Whitesides G M 2005 Phys. Rev. Lett. 94 234502
Google Scholar
[25] Deng C, Wang H, Huang W, Cheng S 2017 Colloids Surf. , A 533 1
Google Scholar
[26] 刘汉涛, 刘谋斌, 常建忠, 苏铁熊 2013 物理学报 62 064705
Google Scholar
Liu H T, Liu M B, Chang J Z, Su T X 2013 Acta Phys. Sin. 62 064705
Google Scholar
[27] 梁宏, 柴振华, 施保昌 2016 物理学报 65 204701
Google Scholar
Liang H, Chai Z H, Shi B C 2016 Acta Phys. Sin. 65 204701
Google Scholar
[28] 张晓林, 黄军杰 2023 物理学报 72 024701
Google Scholar
Zhang X L, Huang J J 2023 Acta Phys. Sin. 72 024701
Google Scholar
[29] Wang W, Liu Z, Jin Y, Cheng Y 2011 Chem. Eng. J. 173 828
Google Scholar
[30] Ngo I L, Dang T D, Byon C, Joo S W 2015 Biomicrofluidics 9 024107
Google Scholar
[31] Liu H, Zhang Y 2011 Phys. Fluids 23 082101
Google Scholar
[32] Boruah M P, Sarker A, Randive P R, Pati S, Sahu K C 2021 Phys. Fluids 33 122101
Google Scholar
[33] Wang H, Yuan X, Liang H, Chai Z, Shi B 2019 Capillarity 2 32
[34] Niu X D, Li Y, Ma Y R, Chen M F, Li X, Li Q Z 2018 Phys. Fluids 30 013302
Google Scholar
[35] Li X, Dong Z Q, Li Y, Wang L P, Niu X D, Yamaguchi H, Li D C, Yu P 2022 Int. J. Multiphase Flow 149 103982
Google Scholar
[36] Li X, Yu P, Niu X D, Li D C, Yamaguchi H 2021 Appl. Math. Comput. 393 125769
[37] Qian Y H, Humières D D, Lallemand P 1992 Europhys. Lett. 17 479
Google Scholar
[38] van der Graaf S, Nisisako T, Schroën C G P H, van der Sman R G M, Boom R M 2006 Langmuir 22 4144
Google Scholar
[39] Ding H, Spelt P D M, Shu C 2007 J. Comput. Phys. 226 2078
Google Scholar
[40] Liang H, Liu H, Chai Z, Shi B 2019 Phys. Rev. E 99 063306
Google Scholar
[41] Shi Y, Tang G H, Xia H H 2014 Comput. Fluids 90 155
Google Scholar
[42] Yue P, Feng J J, Liu C, Shen J 2004 J. Fluid Mech. 515 293
Google Scholar
[43] Roths T, Friedrich C, Marth M, Honerkamp J 2002 Rheol. Acta 41 211
Google Scholar
[44] Wang Y, Shu C, Huang H B, Teo C J 2015 J. Comput. Phys. 280 404
Google Scholar
[45] Li X, Dong Z Q, Wang L P, Niu X D, Yamaguchi H, Li D C, Yu P 2023 Appl. Math. Modell. 117 219
Google Scholar
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