Searcharxiv⌕ Search

arXiv · 2611.08807

Electrohydrodynamic interactions of two Quincke rotors: asymptotic theory and boundary element simulations

Abstract

Weakly conducting spheres suspended in a leaky dielectric fluid can undergo spontaneous Quincke rotation when the applied electric field exceeds a critical value. We investigate how electric and hydrodynamic interactions modify this instability and the subsequent rotation of two spheres at fixed separation and orientation. Starting from electric dipole and hydrodynamic rotlet interactions, we develop a systematic far-field asymptotic theory. Away from onset, slow drift of the rotation axes makes a regular expansion fail at long times. A multiple-scale expansion gives slow phase equations that select the axes according to pair orientation and field strength. Near onset, weak interactions produce corrections comparable to the isolated rotation magnitude. A detuned multiple-scale expansion gives coupled equations for the transverse dipole amplitudes. Their linearization identifies four collective rotation modes, whose critical fields and steady branches with one active mode are determined together with their stability. At leading order near onset, electric interaction shifts all four modal thresholds equally, whereas hydrodynamic interaction makes counter-rotation appear first for pair angles below $\cos^{-1}(1/\sqrt3)\simeq54.7^\circ$ and co-rotation above it. Away from onset, the angle separating stable counter-rotation from stable co-rotation increases with field strength. Boundary element method (BEM) simulations place onset within a field interval for each configuration and resolve the growth and relaxation of rotation. Steady-speed comparisons show how pair orientation changes the balance between electric and hydrodynamic effects. We compare the unexpanded dipole-rotlet model of Das and Saintillan [Phys. Rev. E 87, 043014 (2013)] with our asymptotic theory and BEM simulations.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Debasish Das. 2026-11-05. Electrohydrodynamic interactions of two Quincke rotors: asymptotic theory and boundary element simulations. https://arxiv.org/abs/2611.08807

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Duty-cycle modulation of the self-sustaining process by spanwise wall oscillation

Direct numerical simulations of turbulent channel flow at Re_tau,0 = 200 examine the modulation of the near-wall self-sustaining process under sinusoidal and shape-optimised spanwise wall oscillation, with the same peak wall velocity and oscillation period. At a period close to the reported sinusoidal optimum for the prescribed peak velocity, the shape-optimised waveform gives a relative increase of approximately 6% in gross drag reduction over the sinusoidal signal, at a higher actuation cost; it is therefore used as a probe of the physical mechanisms underlying drag reduction. Phase-resolved stresses, vorticity variances and component-enstrophy budgets quantify the concurrent action of two tilting paths for the wall-normal vorticity of the near-wall streaks: towards the streamwise direction by the mean shear, and towards the spanwise direction by the Stokes strain. The magnitude of the Stokes strain orders the two paths: the spanwise path prevails over most of the cycle, and the streamwise path only while the strain is small, around its change of sign. Within 5 <= y+ <= 12, under the interval criterion q = 0.5, the shape-optimised waveform holds the strain at a nearly constant level for about 2/3 of the cycle, against 1/3 for the sinusoidal waveform, and so approximately halves the duration of the Reversal interval. The mean-shear production of streamwise enstrophy occurs mainly during Reversal: for the shape-optimised waveform its conditional rate is higher in every interval, whereas its time average is 23% lower, as Reversal is shorter. The lift-up production of wall-normal enstrophy is lower at every sampled phase. These observations support a duty-cycle description of the near-wall activity, in which the duration of each interval and the production rate within it are distinguished.

physics.flu-dyn↗

Sub-filter-scale stress and heat flux in hypersonic Couette flow and a flat-plate boundary layer

A comparative study of sub-filter-scale (SFS) quantities in hypersonic Couette flow and flat-plate boundary layer turbulence under strongly cooled-wall conditions is carried out using filtered direct numerical simulation (DNS) data to characterize the differences in SFS dynamics between internal and external wall-bounded turbulence. The two flows exhibit similar near-wall behaviour in the mean velocity profiles and SFS stress components; however, marked differences emerge in the outer layer and thermal structure. The two configurations also exhibit different thermal fields, leading to different temperature-velocity relations. The SFS behaviour shows strong sensitivity to the filtering operation: the top-hat filter yields larger SFS magnitudes, whereas the sharp spectral filter preserves a distinct spectral separation near the cutoff, leading to characteristic SFS features. Decomposition of the SFS terms shows that the residual component provides the dominant contribution to the mean SFS shear stress and heat flux. Differences between the two flows are primarily associated with the interaction terms between the resolved and residual components, which contribute with opposite signs in the two configurations, consistent with their different thermal structures. The different thermal structures also lead to distinct SFS heat-flux behaviour, including a sign change in the flat-plate boundary layer. Instantaneous SFS fields further reveal that local extrema arise from the combined contributions of multiple decomposed terms. Although these terms exhibit large local fluctuations, their net contributions to the averaged SFS quantities are relatively small. The trace of the SFS stress exhibits local negative values, reflecting local energy redistribution across the filter scale rather than a loss of physical energy.

physics.flu-dyn↗

Domain-Adapted Deep Optical Flow for Multiphase Velocimetry in Unsteady Cloud Cavitation

Time-resolved velocimetry inside cloud cavitation remains a fundamental measurement problem. Particle image velocimetry (PIV) requires uniform tracer seeding and undistorted particle images, and cavitating flow violates both, because tracers do not penetrate vapor structures and refractive index mismatch across deforming interfaces produces spurious vectors. We present a domain-adapted deep optical flow framework for two-phase velocimetry, built on a Recurrent All-Pairs Field Transforms (RAFT) architecture fine-tuned on synthetic image pairs rendered from multiphase OpenFOAM simulations (RAFT-CloudCav). It is evaluated against a pre-trained generalist RAFT model, Farnebäck and OpenPIV on 130,000 frames/s recordings of a Venturi test section at 30 and 48 L/min. As no experimental ground truth exists, validation uses three quantities that require none, namely the integrated flow rate against a turbine meter, the liquid-phase velocity divergence, which mass conservation requires to vanish, and the station-to-station spread of the flow rate. RAFT-CloudCav recovers 47.75 L/min against a metered 48.0 $\pm$ 0.5 L/min, the closest of the four methods, and its flow rate varies by 2.0% across four streamwise stations, versus 6-7% for the classical methods. It returns a coherent near-wall reverse flow of -0.71 m/s, the time-averaged signature of the upstream-propagating re-entrant jet, where OpenPIV returns none. In the non-cavitating control, at 51 $μ$m/pixel only three grid points fall inside a 0.68 mm boundary layer and the peak wall-normal gradient is under-predicted more than thirtyfold, while 13 and 19 $μ$m/pixel agree with each other. The mean field is recovered without tracer particles at roughly three times the per-frame uncertainty. Uncertainties are estimated a posteriori from the image residual and propagated conservatively.

physics.flu-dyn↗