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arXiv 1908.01651physics.flu-dyn
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使用Stokes阱的多路粒子操纵过程中的流动拓扑

Flow topology during multiplexed particle manipulation using a Stokes Trap

Anish Shenoy, Dinesh Kumar, Sascha Hilgenfeldt, Charles M. Schroeder

摘要:

捕获和操纵小颗粒是许多科学和技术应用的基础。最近,多个小颗粒的精确操纵被证明使用斯托克斯阱,仅依赖于流体流动,而不需要光学或电场。主动流动控制在捕集过程中围绕悬浮颗粒产生复杂的流动拓扑,然而控制算法和流动结构之间的关系还没有很好地理解。在这项工作中,我们描述了使用斯托克斯陷阱对颗粒轨迹进行主动控制期间的流动拓扑结构。我们的研究结果表明,两个粒子的最优控制出乎意料地依赖于零或一个停滞点的流型,而不是使用两个不同的停滞点定位两个粒子。我们的特点的系统相对于控制目标函数中的参数的灵敏度,从而提供了一个系统的理解的捕获过程。总体而言,这些结果将是有用的指导应用涉及控制操纵的多个胶体颗粒和精确变形的软颗粒在定义的流场。

英文摘要:

Trapping and manipulation of small particles underlies many scientific and technological applications. Recently, the precise manipulation of multiple small particles was demonstrated using a Stokes trap that relies only on fluid flow without the need for optical or electric fields. Active flow control generates complex flow topologies around suspended particles during the trapping process, yet the relationship between the control algorithm and flow structure is not well understood. In this work, we characterize the flow topology during active control of particle trajectories using a Stokes trap. Our results show that optimal control of two particles unexpectedly relies on flow patterns with zero or one stagnation points, as opposed to positioning two particles using two distinct stagnation points. We characterize the sensitivity of the system with respect to the parameters in the control objective function, thereby providing a systematic understanding of the trapping process. Overall, these results will be useful in guiding applications involving the controlled manipulation of multiple colloidal particles and the precise deformation of soft particles in defined flow fields.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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