2019
DOI: 10.1103/physrevfluids.4.114203
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Orientation control and nonlinear trajectory tracking of colloidal particles using microfluidics

Abstract: Suspensions of anisotropic Brownian particles are commonly encountered in a wide array of applications such as drug delivery and manufacturing of fiber-reinforced composites. Technological applications and fundamental studies of small anisotropic particles critically require precise control of particle orientation over defined trajectories and paths. In this work, we demonstrate robust control over the two-dimensional (2D) center-of-mass position and orientation of anisotropic Brownian particles using only flu… Show more

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Cited by 29 publications
(22 citation statements)
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“…The MPC feedback controller determines the necessary flow rates required to achieve trapping at a specific point while maintaining a nearly constant strain rate in extensional flow and is achieved using computer-controlled pressure regulators. In this way, the Stokes trap can be used to confine vesicles under zero-flow conditions (with no external or net flow) or under non-zero net flow conditions [47,48], and the latter method was used to study non-equilibrium flow dynamics in the work.…”
Section: B Stokes Trapmentioning
confidence: 99%
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“…The MPC feedback controller determines the necessary flow rates required to achieve trapping at a specific point while maintaining a nearly constant strain rate in extensional flow and is achieved using computer-controlled pressure regulators. In this way, the Stokes trap can be used to confine vesicles under zero-flow conditions (with no external or net flow) or under non-zero net flow conditions [47,48], and the latter method was used to study non-equilibrium flow dynamics in the work.…”
Section: B Stokes Trapmentioning
confidence: 99%
“…In this paper, we present a detailed flow-phase diagram of non-equilibrium vesicle shape transitions in extensional flow using a Stokes trap [47][48][49], which enables precise control over the center-of-mass position of single or multiple particles in flow. In this way, we directly observe vesicle shape transitions over long observation times across a wide range of parameters including reduced volume ν and capillary number Ca.…”
Section: Introductionmentioning
confidence: 99%
“…The flow model and the model predictive control (MPC) scheme for multiplexed particle manipulation have been previously described [16,17]. The following section summarizes the salient features of these models for understanding flow topology during trapping.…”
Section: Controller Formulationmentioning
confidence: 99%
“…, where x i,0 indicates the i th particle's initial position and x i,F indicates the target final position. A model predictive control (MPC) scheme is used to achieve precise manipulation of multiple particles [16,17,30]. Using MPC, the flow rates required for particle manipulation are obtained by minimizing an objective function that determines an optimal balance between: (1) trajectories that move particles along the shortest path between the initial and final positions and (2) trajectories that require minimal flow rates but may require complicated paths.…”
Section: Controller Formulationmentioning
confidence: 99%
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