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可编程液滴:利用数字化响应流场主动调控液体形态。

Programmable droplets: Leveraging digitally-responsive flow fields to actively tune liquid morphologies.

机构信息

Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.

Department of Materials Science and Engineering, University of Toronto, Toronto, Ontario, Canada.

出版信息

PLoS One. 2022 Mar 23;17(3):e0264141. doi: 10.1371/journal.pone.0264141. eCollection 2022.

Abstract

Stimulus-responsive materials enable programmable and adaptive behaviors. Typical solid-phase systems can only achieve small deformations for applications where shape transformations are beneficial or required. Liquids, in contrast, can self-assemble and achieve very high strains in a multifluid environment. Here we report liquid droplet formation by tuning flow potential within a confined fluidic cell. We digitally inject small volumes of liquid-pigment into an otherwise-transparent liquid layer, generating macroscopic droplet assembly over large areas constrained between closely-spaced plates. Droplet morphology is actively controlled by modulating outlet conditions to tune flow fields. Pattern stability is maintained through control over injection rate, interfacial viscosity difference, and interfacial surface tension. We demonstrate time-dependent droplet formation and migration to achieve spatially-tunable optical properties. Applied as a multi-cell array, we imagine this liquid mechanism will enable scalable pattern dynamics for active shading and visual display technologies.

摘要

刺激响应材料能够实现可编程和自适应行为。典型的固相系统只能在形状变换有益或需要的应用中实现小变形。相比之下,液体可以在多相环境中自组装并实现非常高的应变。在这里,我们报告了通过在封闭的流体制动器内调节流动势来形成液滴。我们通过数字方式将少量的液体颜料注入到原本透明的液体层中,在紧密间隔的板之间的大面积限制区域内生成宏观的液滴组装。通过调节出口条件来调节流场,主动控制液滴形态。通过控制注入速度、界面粘度差和界面表面张力来保持图案稳定性。我们展示了随时间变化的液滴形成和迁移,以实现空间可调谐的光学特性。作为多单元阵列应用,我们设想这种液体机制将能够实现主动遮阳和视觉显示技术的可扩展图案动态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c0/8942257/0e1bbcbcdef1/pone.0264141.g001.jpg

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