On the utilization of the escape phenomenon to realize new mass detectors

Fadi M. Alsaleem, Mohammad I. Younis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, we demonstrate the concept of a new type of mass sensor detector. The detector is designed to act as a switch that is triggered if the measured mass exceeds a threshold value. The basic idea of the proposed switch is based on utilizing the escape phenomenon that the nonlinear electrostatic force introduces to the dynamics of a capacitive microcantilever. The detector is excited electrostatically with a frequency near the primary or the sub-harmonics (twice the natural frequency) resonances a way from the instability frequency band (escape phenomenon). By absorbing a threshold mass of a target material, the natural frequency of the cantilever will change in a way that it starts to oscillate in the unstable zone and hence hits the substrate. This action could be utilized to activate, for example, an alarming system indicating that the measured material has exceeded the allowable threshold mass (concentration) value.

Original languageEnglish (US)
Title of host publication2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
Pages605-611
Number of pages7
StatePublished - 2009
Externally publishedYes
Event2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008 - New York City, NY, United States
Duration: Aug 3 2008Aug 6 2008

Publication series

Name2008 Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
Volume4

Other

Other2008 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC 2008
Country/TerritoryUnited States
CityNew York City, NY
Period08/3/0808/6/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering

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