Nonlocal flow sampling enables vortex trapping of heavy particles
Sachin Kulkarni, Sumithra R. Yerasi, Vishwanath Kadaba Puttanna, Dario Vincenzi, S. Ravichandran, KVS Chaithanya

TL;DR
This paper demonstrates that spatially extended inertial particles, modeled as dumbbells, can become trapped and spin around vortex centers, revealing new behaviors not captured by point-particle models.
Contribution
It introduces a model of extended inertial particles and shows their ability to reach stable vortex-trapped spinning states, contrasting with traditional point-particle approximations.
Findings
Extended particles can converge to vortex-centered spinning states.
The spinning state stability depends on the Stokes number.
Nonlocal flow sampling alters long-term particle behavior.
Abstract
Most analyses of inertial particle motion in vortical flows rely on the point-particle approximation, in which the fluid velocity is assumed to be linear at the scale of the particle, and for heavy particles inertia typically leads to centrifugal expulsion from vortex cores. Here, we show that a spatially extended particle, modeled as a rigid symmetric dumbbell of two identical inertial point particles connected by a massless rod that samples the flow at two points, can converge to a vortex-centered spinning state. We study the dynamics of this inertial dumbbell in a steady two-dimensional Lamb-Oseen vortex and identify three qualitatively distinct long-time behaviors controlled by the Stokes number. In the weak-inertia limit, the motion remains bounded and traces spirographic-like trajectories around the vortex center, while at sufficiently large inertia centrifugal effects dominate…
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Taxonomy
TopicsParticle Dynamics in Fluid Flows · Fluid Dynamics and Turbulent Flows · Micro and Nano Robotics
