Strain relaxation and resonance of carbon nanotube forests under electrostatic loading

Assaf Ya'akobovitz, Mostafa Bedewy, Abhinav Rao, A. John Hart

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

Electrostatic loading is widely used for sensing and actuation in miniaturized electromechanical systems, yet classical designs involve geometric patterning of solid materials such as silicon and metal films. Conductive nanoporous materials for electrostatics may enable engineering of new functionalities arising from their compliance, internal surface forces, and high surface area. Toward this end, we investigate the response of vertically aligned carbon nanotube (CNT) "forests" to DC and AC electrostatic loads. First, the tensile strain-stress characteristics of patterned CNT forests was determined in a non-contact manner by cyclic DC electrostatic loading, revealing an increase of the effective Young's modulus with sequential load cycling. Next, we observed resonance can be excited by AC electrostatic loading, and that the resonance frequency increases with sequential sweeps of the AC load frequency. Both the DC and AC measurements indicate that residual stress that arises during CNT growth is relaxed upon electrostatic loading, causing stiffening of the structure. This study shows for the first time that CNT forests can function as bulk electrostatic elements, and their intrinsic low stiffness and quality factor may be suitable for development of wide bandwidth micro-resonators and adsorption-based sensors.

Original languageEnglish
Pages (from-to)250-258
Number of pages9
JournalCarbon
Volume96
DOIs
StatePublished - 1 Jan 2016

Keywords

  • Capacitance
  • Carbon nanotubes forests
  • Electrostatic force
  • Resonance
  • Strain relaxation

ASJC Scopus subject areas

  • General Chemistry
  • General Materials Science

Fingerprint

Dive into the research topics of 'Strain relaxation and resonance of carbon nanotube forests under electrostatic loading'. Together they form a unique fingerprint.

Cite this