arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2503.03420physics.flu-dyn
收藏

流体动力学记忆与Quincke旋转

Hydrodynamic memory and Quincke rotation

Jason K. Kabarowski, Aditya S. Khair, Rahil N. Valani

AI总结:

本文考虑流体动力学记忆,将Quincke旋转动力学推广为修正Lorenz方程,发现流体记忆提高了混沌旋转阈值并扩大了多稳态范围,且强场下粒子回归周期旋转。

摘要:

本文分析了在稳恒电场下,无电荷固体介电球形粒子的自发(即所谓的Quincke)旋转,考虑了粒子惯性以及由粒子周围非定常Stokes流引起的瞬态流体惯性(即“流体动力学记忆”)。粒子的动力学被包含在三个耦合的非线性积分微分方程中,用于描述粒子角速度的演化,以及粒子感应偶极子中平行和垂直于外加电场的分量。这些方程代表了著名的Lorenz系统的推广。对这些“修正Lorenz方程”(MLE)的数值求解表明,流体动力学记忆导致混沌粒子旋转的阈值场强增加,这与实验观察定性一致。此外,流体动力学记忆导致稳态旋转与混沌旋转之间发生多稳态的场强范围增加。在强场强下,混沌停止,预测粒子将执行周期性旋转运动。

英文摘要:

The spontaneous (so-called Quincke) rotation of an uncharged, solid, dielectric, spherical particle under a steady electric field is analyzed, accounting for the inertia of the particle and the transient fluid inertia, or ``hydrodynamic memory,'' due to the unsteady Stokes flow around the particle. The dynamics of the particle are encapsulated in three coupled nonlinear integro-differential equations for the evolution of the angular velocity of the particle, and the components of the induced dipole of the particle that are parallel and transverse to the applied field. These equations represent a generalization of the celebrated Lorenz system. A numerical solution of these `modified Lorenz equations' (MLE) shows that hydrodynamic memory leads to an increase in the threshold field strength for chaotic particle rotation, which is in qualitative agreement with experimental observations. Furthermore, hydrodynamic memory leads to an increase in the range of field strengths where multi-stability between steady and chaotic rotation occurs. At large field strengths, chaos ceases and the particle is predicted to execute periodic rotational motion.

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。

↑