Modeling Memory-Dependent Colloidal Hydrodynamic Interactions in a Viscoelastic Medium with Experimental Validation of Coupled Translational-Rotational Dynamics
ORAL
Abstract
The design and study of complex fluids for engineered soft materials is partly enriched by physical interactions among their numerous constituents that span several length- and time-scales. Under flow, the interplay of conservative and hydrodynamic forces engenders an exotic microstructure that determine a material’s rheology. Whereas prior studies have either reconciled this with fluid-mediated forces in Newtonian solvents or to macromolecular structure in viscoelastic materials, there currently exists a gap in bridging these two ideas.
In this work, we use micro-hydrodynamic theory and optical tweezers experiments to study the transmission of fluid-mediated forces between colloidal-scale particulates in a viscoelastic medium. We measure the induced angular displacement of a colloidal probe due to a nearby, moving particle. First, we reproduce established theory that describes the probe’s rotation in a Newtonian solvent due to pair hydrodynamic forces, ranging from near-field lubrication to far-field interactions. Then, we extend this analysis to include memory effects that arise from macromolecular rearrangement in the surrounding fluid, demonstrating excellent agreement with the experimental data across pair-separation distance and time. We anticipate that our results will inform new constitutive models and advanced simulation tools to design increasingly heterogeneous fluids with targeted mechanical performance.
In this work, we use micro-hydrodynamic theory and optical tweezers experiments to study the transmission of fluid-mediated forces between colloidal-scale particulates in a viscoelastic medium. We measure the induced angular displacement of a colloidal probe due to a nearby, moving particle. First, we reproduce established theory that describes the probe’s rotation in a Newtonian solvent due to pair hydrodynamic forces, ranging from near-field lubrication to far-field interactions. Then, we extend this analysis to include memory effects that arise from macromolecular rearrangement in the surrounding fluid, demonstrating excellent agreement with the experimental data across pair-separation distance and time. We anticipate that our results will inform new constitutive models and advanced simulation tools to design increasingly heterogeneous fluids with targeted mechanical performance.
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Presenters
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Sachit Gurusai Nagella
University of California, Santa Barbara
Authors
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Sachit Gurusai Nagella
University of California, Santa Barbara
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Dae Yeon Kim
University of California, Santa Barbara
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Sho C Takatori
University of California, Santa Barbara