Finite-Inertia Corrections and Breakdown of Gor'kov Theory in Acoustic Levitation of Droplets
Hollis Williams
TL;DR
This work addresses the limits of time-averaged Gor'kov theory in acoustic droplet levitation by deriving Gor'kov behavior as the leading slow-time limit of the instantaneous radiation force and then computing the first finite-inertia correction. Using a systematic multiple-scale analysis, the authors obtain a simple breakdown parameter that localizes breakdown to regions with large force gradients and predict fast-time oscillations with amplitude $x_1^{\mathrm{max}} \sim \lambda/8$ that are experimentally observable in phased-transducer setups. The key contribution is a universal framework linking trap geometry, field gradients, and time-scale separation to quantify when time-averaged models fail, providing a practical rule-of-thumb for trap design and operation. The findings have direct implications for the reliability and tunability of acoustic manipulation platforms, especially in 2D/3D array configurations and for deformable droplets, where finite-inertia effects cannot be neglected. Overall, the paper clarifies the validity domain of Gor'kov-type models and offers a quantitative criterion to predict and mitigate deviations in real experiments.
Abstract
Acoustic levitation is widely used for contactless droplet manipulation, yet the standard Gor'kov description obtained by time averaging the acoustic field lacks a quantitative validity criterion. In this work, we derive Gor'kov theory as the leading-order slow time limit of the instantaneous radiation force, compute the first finite-inertia correction, and obtain a simple breakdown parameter. The correction reduces the effective trapping drift and predicts fast time oscillations of amplitude $x_1^{\mathrm{max}}\simλ/8$, corresponding to hundreds of micron for typical ultrasonic levitation experiments. This sets a measurable criterion for experiments using phased transducer arrays. Our results provide a universal rule of thumb for acoustic trap design and clarify where time-averaged radiation force models fail.
