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Related Experiment Video

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Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions

Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions

Published on: September 7, 2018

Nanoelectromechanical devices in a fluidic environment.

Oleksiy Svitelskiy¹, Vince Sauer, Douglass Vick

¹Department of Physics, University of Alberta, Edmonton, Canada. oleksiysvit@yahoo.com

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics

|September 26, 2012

Summary

Nanoelectromechanical systems damping in fluids is better explained by new models than traditional ones. New research offers insights into nanoscale fluid damping across various pressures.

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Last Updated: May 18, 2026

Generation and Control of Electrohydrodynamic Flows in Aqueous Electrolyte Solutions

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Area of Science:

Physics
Materials Science
Nanotechnology

Background:

Traditional models for microresonator damping are insufficient for nanoresonators.
Understanding fluid-device interactions at the nanoscale is crucial for NEMS applications.

Purpose of the Study:

To evaluate theoretical models of device-fluid interactions for nanoelectromechanical systems (NEMS) under varying pressures.
To identify the most accurate models for describing damping phenomena in NEMS across different pressure regimes.

Main Methods:

Monitoring resonant responses and quality factors of NEMS in five gases and one liquid.
Testing devices at pressures from vacuum to 20 MPa.
Utilizing focused ion beam to correct device shape and differentiate damping factors.

Main Results:

The Knudsen number is inadequate for intermediate pressures; the Weissenberg number and Yakhot and Colosqui model are superior.
The phenomenological model of vibrating spheres and the Sader and Bhiladvala model accurately describe high-pressure damping.
Squeezed film (SF) and undercut effects significantly increase damping, with the SF model performing well at high pressures.

Conclusions:

New models provide better physical characterization of nanoscale fluid damping than traditional approaches.
The Sader and Bhiladvala model accurately predicts pressure-dependent viscous mass load and damping.
This study offers fundamental insights into nanoscale fluid damping mechanisms, particularly at intermediate and high pressures.