• DocumentCode
    595707
  • Title

    Investigation into massloading sensitivity of typical resonant structures attached to SAW Sensors

  • Author

    Kashan, M.A.M. ; Ramakrishnan, N.

  • Author_Institution
    Sch. of Eng., Monash Univ., Bandar Sunway, Malaysia
  • fYear
    2012
  • fDate
    18-21 Dec. 2012
  • Firstpage
    538
  • Lastpage
    542
  • Abstract
    Recently there is greater interest in employing high aspect ratio resonant structures such as nano-pillars as sensing medium in SAW Sensors. In this work we have performed finite element method (FEM) simulation of a SAW device attached with typical resonant nano-pillars and studied the resonance frequency shift sensitivity caused by change in the Young´s modulus (E) and density (ρ) of the pillars. It is observed that the resonance frequency shift depends on the combined loading effect of E and ρ of the pillars. For an increase in E of the pillars, elastic loading dominates over inertial loading caused by ρ, accordingly an increase in resonance frequency of the SAW device is observed and vice versa. The results also show that nano-pillars made of hard polymers such as SU-8 show higher sensitivity for change in E or ρ.
  • Keywords
    Young´s modulus; finite element analysis; nanosensors; resonators; surface acoustic wave sensors; SAW device; SAW sensors; Young modulus; elastic loading; finite element method; hard polymers; high aspect ratio resonant structures; inertial loading; massloading sensitivity; resonant nanopillar; shift sensitivity; typical resonant structure; Loading; Materials; Resonant frequency; Sensitivity; Sensors; Surface acoustic wave devices; Surface acoustic waves; FEM; High Sensitivity Sensors; Mass loading; Nano-pillars; SAW Sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2012 Sixth International Conference on
  • Conference_Location
    Kolkata
  • ISSN
    2156-8065
  • Print_ISBN
    978-1-4673-2246-1
  • Type

    conf

  • DOI
    10.1109/ICSensT.2012.6461737
  • Filename
    6461737