Search arXivSearch

arXiv · 1602.00137

The driving factors of electro-convective instability in concentration polarization

Abstract

Ionic current through a charge-selective interface in a binary electrolyte is a basic element of many electrochemical engineering and microfluidic processes. Such current passage is diffusion-limited: it induces a decrease of electrolyte concentration towards the interface (concentration polarization, CP), expressed in the saturation of current upon increasing voltage at some value (limiting current, LC). With further increase of voltage, this saturation breaks down (overlimiting conductance, OLC). In open systems OLC is mediated by a microscale vortical flow which develops as a result of electroconvective instability (ECI) of quiescent CP near LC. Electroconvection (EC) is a flow driven by the electric force acting either upon the space charge of the interfacial EDL (electroosmosis, EO) or the residual space charge of the quasielectroneutral bulk (bulk EC). There are two types of EO, the equilibrium and the nonequilibrium one. The former relates to the action of the tangential electric field upon the space charge of the EDL, and the latter pertains to the similar action upon the extended space charge, forming next to the EDL near LC. For a perfectly charge-selective interface, CP is stable under the equilibrium EO or bulk EC, but nonequilibrium EO may cause ECI. For this reason until recently, ECI in CP was attributed to this latter mechanism. Lately, it was shown that imperfect charge-selectivity of the interface makes equilibrium ECI possible, driven by either equilibrium EO or bulk EC, or both. Here we identify and analyze the major surface and bulk factors affecting the ECI. These factors (diffusioosmosis, EO, bulk EC, and some newly identified ones) are manifestations of the electric force and pressure gradient, balanced by the viscous force acting in various locations in solution. The contribution of these factors to ECI in CP is analyzed for a varying interface permselectivity.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Isaak Rubinstein, Boris Zaltzman. 2016-01-30. The driving factors of electro-convective instability in concentration polarization. https://doi.org/10.1103/physrevfluids.1.023601

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

KEEP EXPLORING

Related papers

Cross-helicity and chaotic dynamics of full-disc solar magnetic field

Using the results of laboratory experiments and direct numerical simulations, as well as observations of the full-disc solar magnetic field and sunspot number dynamics, it is demonstrated that cross-helicity can dominate the decaying part of the frequency power spectra of the magnetic field generated by a magnetohydrodynamic (MHD) dynamo in chaotic/turbulent swirling flows for sufficiently strong MHD turbulence (including the solar dynamo). The theoretical consideration is based on a Kolmogorov-like phenomenology within the framework of the distributed chaos concept. It is also shown that the solar full-disc magnetic field for the last two solar cycles with weak magnetic activity exhibits deterministic chaotic behavior concentrated around the equator.

physics.flu-dyn

Manifestation of spurious currents and interface regularization in wind turbulence over fast-propagating waves

Accurate simulation of wind turbulence over fast-propagating waves requires interface-capturing methods that suppress numerical artifacts while accurately resolving momentum transfer across the interface. In high wave-age regimes, numerical errors at the air-water interface can reach magnitudes comparable to the physical flow, directly affecting predicted turbulence statistics. This study examines widely used interface-capturing techniques to evaluate how curvature estimation and flux discretization influence wind-wave simulations through the resulting spurious currents and interface regularization. A systematic assessment is performed using static and translating droplet benchmarks, together with solitary and monochromatic wave cases, to identify and quantify the dominant numerical error mechanisms. In addition, comparison with experimental measurements reveals how these primary error sources manifest in coupled wind-wave simulations. These findings clarify the numerical origin of the observed discrepancies and underscore the importance of accurate curvature and flux treatment in high wave-age regimes, without which numerical artifacts risk being misattributed to genuine wind-wave physics.

physics.flu-dyn

A reconfigurable multi-axis cyber-physical framework for multi-regime fluid--structure interaction experiments

Fluid--structure interaction (FSI) experiments are typically built around mechanical dynamics and constraints imposed by the physical apparatus, so changing mass, stiffness, damping, or allowable motion often requires hardware reconfiguration. Here we present a reconfigurable cyber-physical framework in which these properties are instead assigned through software-defined dynamics. The system provides three translational and one rotational degree of freedom, each independently configurable as prescribed, load-responsive, or locked, with operating roles that can also be reassigned during a running experiment. Measured forces and torques are incorporated into real-time virtual dynamic models, while a common supervisory architecture coordinates multi-axis motion, mode switching, synchronized data acquisition, and diagnostic positioning. The prescribed-motion pathway is validated using a pitching hydrofoil by comparison with published thrust and power scaling trends, while the load-responsive pathway is evaluated using an active-heave/passive-pitch benchmark that reproduces the expected frequency-dependent resonant response over the tested conditions. The same platform is then reconfigured for intra-cycle active--passive pitching, coordinated vertical-axis turbine-surrogate motion, force-driven passive surge, and automated multilayer stereoscopic particle image velocimetry. These results demonstrate that distinct FSI boundary conditions and measurement requirements can be implemented within a common motion, sensing, and control architecture. By treating mechanical roles and constraints as software-defined experimental variables, the framework provides a reusable basis for reconfigurable FSI experiments without redesigning the underlying platform for each application.

physics.flu-dyn