Please use this identifier to cite or link to this item: https://doi.org/10.3390/ma12091458
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dc.titleLiquid-Metal-Elastomer Foam for Moldable Multi-Functional Triboelectric Energy Harvesting and Force Sensing
dc.contributor.authorTHEAN VOON YEW, AARON
dc.date.accessioned2020-11-30T03:37:57Z
dc.date.available2020-11-30T03:37:57Z
dc.date.issued2019
dc.identifier.citationTHEAN VOON YEW, AARON (2019). Liquid-Metal-Elastomer Foam for Moldable Multi-Functional Triboelectric Energy Harvesting and Force Sensing. MDPI Materials 12 (9) : 1458. ScholarBank@NUS Repository. https://doi.org/10.3390/ma12091458
dc.identifier.issn19961944
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/184242
dc.description.abstractWe report on the dual mechanical and proximity sensing effect of soft-matter interdigitated (IDE) capacitor sensors, together with its modelling using finite element (FE) simulation to elucidate the sensing mechanism. The IDE capacitor is based on liquid-phase GaInSn alloy (Galinstan) embedded in a polydimethylsiloxane (PDMS) microfludics channel. The use of liquid-metal as a material for soft sensors allows theoretically infinite deformation without breaking electrical connections. The capacitance sensing is a result of E-field line disturbances from electrode deformation (mechanical effect), as well as floating electrodes in the form of human skin (proximity effect). Using the proximity effect, we show that spatial detection as large as 28 cm can be achieved. As a demonstration of a hybrid electronic system, we show that by integrating the IDE capacitors with a capacitance sensing chip, respiration rate due to a human’s chest motion can be captured, showing potential in its implementation for wearable health-monitoring.
dc.publisherMDPI
dc.typeArticle
dc.contributor.departmentELECTRICAL AND COMPUTER ENGINEERING
dc.description.doi10.3390/ma12091458
dc.description.sourcetitleMDPI Materials
dc.description.volume12
dc.description.issue9
dc.description.page1458
dc.published.statePublished
dc.grant.idNRF-RSS2015-003
dc.grant.fundingagencyNRF
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