• DocumentCode
    38759
  • Title

    A Novel V-Shaped Cross Section Cantilever Sensor for Monitoring Concentrated Masses With Improved Detecting Sensitivity and Measuring Accuracy

  • Author

    Renjing Gao ; Yankang Zhang ; Jian Zhao ; Shutian Liu

  • Author_Institution
    State Key Lab. of Struct. Anal. for Ind. Equip., Dalian Univ. of Technol., Dalian, China
  • Volume
    14
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    514
  • Lastpage
    521
  • Abstract
    Mass detection sensitivity and measuring accuracy of resonant mass sensors are mainly dependent on the analyte position, the resonant frequency, and the effective mass of the cantilever. For measuring concentrated masses or particles, a novel mass sensor incorporating V-shaped cross section cantilever was proposed by locating the analyte at predefined positions for both improving the mass detecting sensitivity and reducing the measuring deviation. The theoretical model for analyzing the mass detection sensitivity was established. With the same geometric dimension, the proposed sensor´s sensitivities obtained theoretically and experimentally are 6.75×104 and 6.34×104 Hz/g, which are nearly 2.20 times as great as that of the custom made cantilever with a rectangular cross section. Thus, the feasibility of the proposed sensitivity improving method was adequately validated.
  • Keywords
    cantilevers; mass measurement; microsensors; piezoelectric transducers; V-shaped cross section cantilever sensor; analyte position; concentrated mass monitoring; mass detecting sensitivity; resonant frequency; Atmospheric measurements; Equations; Mathematical model; Particle measurements; Position measurement; Resonant frequency; Sensitivity; Sensitivity improving method; V-shaped cross section cantilever; mass sensor; measuring accuracy;
  • fLanguage
    English
  • Journal_Title
    Sensors Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1530-437X
  • Type

    jour

  • DOI
    10.1109/JSEN.2013.2284661
  • Filename
    6620927