June 15, 2020 Conference paper Open Access

Totaro, Massimo; Bernardeschi, Irene; Wang, Hongbo; Beccai, Lucia

DCAT Export

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        <foaf:name>Wang, Hongbo</foaf:name>
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    <dct:title>Analysis and optimization of fully foam-based capacitive sensors</dct:title>
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    <dcat:keyword>Soft sensors</dcat:keyword>
    <dcat:keyword>conductive foam</dcat:keyword>
    <dcat:keyword>Capacitive sensors</dcat:keyword>
    <dcat:keyword>tactile sensing</dcat:keyword>
    <dcat:keyword>porous materials</dcat:keyword>
    <dcat:keyword>Porous materials modeling</dcat:keyword>
    <dcat:keyword>FEA</dcat:keyword>
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    <dct:description>&lt;p&gt;This paper presents the electromechanical analysis of ultra-light and highly compressible capacitive pressure sensors based on open-cell foams, with top and bottom surface electrodes built by PEDOT:PSS coating. Multiple samples of porous capacitive sensors were characterized, and experimental results were compared by means of both FEM simulations and theoretical analysis. The agreement between experiments and theoretical/numerical prediction is good, suggesting that this methodology can be a useful tool for fine tuning of the sensor performance (i.e. sensitivity, range) for specific applications. Finally, the proposed foam sensor provides a low-cost, easy-to-implement, robust sensing solution for real-world applications in robotics and wearable systems.&lt;/p&gt;</dct:description>
    <dct:description>This is the final manuscript submitted for publication. For request of research data or any other detail, please contact Dr Massimo Totaro, massimo.totaro@iit.it</dct:description>
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