Torsional loading analysis using cross-shaped piezoelectric sensor

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Piezoelectric materials have found numerous applications in sensors with the characteristic of flexibility and sensitivity. Taking advantage of their characteristic, we fabricate a multi-layered cross-shaped piezoelectric sensor for torsional load analysis. It consists of a polyethylene terephthalate substrate and two piezoelectric layers placed in the crossed form. From the crossed shape of two piezoelectrics, various conditions of torsional loading can be analyzed by simply measuring load voltage amplitudes and phases. We derive a modeling framework of the cross-shaped piezoelectric sensor under torsional loading to expect the sensing response of the sensors. Also, an experimental setup is established to verify the modeling statement.

    Original languageEnglish
    Title of host publicationActive and Passive Smart Structures and Integrated Systems IX
    EditorsJae-Hung Han, Gang Wang, Shima Shahab
    PublisherSPIE
    ISBN (Electronic)9781510635296
    DOIs
    Publication statusPublished - 2020
    EventActive and Passive Smart Structures and Integrated Systems IX 2020 - None, United States
    Duration: 2020 Apr 272020 May 8

    Publication series

    NameProceedings of SPIE - The International Society for Optical Engineering
    Volume11376
    ISSN (Print)0277-786X
    ISSN (Electronic)1996-756X

    Conference

    ConferenceActive and Passive Smart Structures and Integrated Systems IX 2020
    Country/TerritoryUnited States
    CityNone
    Period20/4/2720/5/8

    Bibliographical note

    Funding Information:
    This work was supported by the KIST flagship program (Project No.

    Publisher Copyright:
    © 2020 SPIE.

    Keywords

    • Piezoelectric material
    • Sensor
    • Torsional loading

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Condensed Matter Physics
    • Computer Science Applications
    • Applied Mathematics
    • Electrical and Electronic Engineering

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