Cited 0 time in
A Flexible Graphene-Polydimethylsiloxane Nanocomposite Force Sensor with Linear Response Across a Wide Pressure Detection Range
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bang, Soa | - |
| dc.contributor.author | Lim, Jaeeun | - |
| dc.contributor.author | Chun, Sungwoo | - |
| dc.contributor.author | Park, Wan jun | - |
| dc.date.accessioned | 2021-08-02T11:54:47Z | - |
| dc.date.available | 2021-08-02T11:54:47Z | - |
| dc.date.created | 2021-05-12 | - |
| dc.date.issued | 2019-03 | - |
| dc.identifier.issn | 1533-4880 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/14344 | - |
| dc.description.abstract | As a flexible force sensor operating in the pressure range covering the entire general human pressure detection range, we developed a piezoresistive nanocomposite using graphene flakes as the conducting filler with polydimethylsiloxane (PDMS) as the polymer matrix. The homogeneous dispersion of graphene flakes allows their uniform distribution in the PDMS matrix with a low percolation threshold owing to their geometrically high aspect ratio, thus resulting in a linear piezoresistive response across a wide pressure detection range (100 Pa-1,020 kPa), when static forces are externally applied. Furthermore, the sensor shows sensitive piezoresistive responses to dynamically applied forces. Based on the characteristics demonstrated and described in this study, graphene-PDMS nanocomposites can be considered promising materials for flexible force sensors capable of describing human pressure perception ability. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | AMER SCIENTIFIC PUBLISHERS | - |
| dc.title | A Flexible Graphene-Polydimethylsiloxane Nanocomposite Force Sensor with Linear Response Across a Wide Pressure Detection Range | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Park, Wan jun | - |
| dc.identifier.doi | 10.1166/jnn.2019.16184 | - |
| dc.identifier.wosid | 000450899000069 | - |
| dc.identifier.bibliographicCitation | JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY, v.19, no.3, pp.1630 - 1634 | - |
| dc.relation.isPartOf | JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY | - |
| dc.citation.title | JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY | - |
| dc.citation.volume | 19 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 1630 | - |
| dc.citation.endPage | 1634 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Article | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.relation.journalResearchArea | Chemistry | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalResearchArea | Materials Science | - |
| dc.relation.journalResearchArea | Physics | - |
| dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
| dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
| dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
| dc.relation.journalWebOfScienceCategory | Physics, Condensed Matter | - |
| dc.subject.keywordPlus | PIEZORESISTIVE BEHAVIOR | - |
| dc.subject.keywordPlus | LARGE-AREA | - |
| dc.subject.keywordPlus | SKIN | - |
| dc.subject.keywordPlus | CONDUCTIVITY | - |
| dc.subject.keywordAuthor | Graphene | - |
| dc.subject.keywordAuthor | Graphene Composites | - |
| dc.subject.keywordAuthor | Graphene Force Sensors | - |
| dc.subject.keywordAuthor | Pressure Sensors | - |
| dc.subject.keywordAuthor | Nanocomposites | - |
| dc.identifier.url | https://www.ingentaconnect.com/content/asp/jnn/2019/00000019/00000003/art00069;jsessionid=12pxp6wnra5wr.x-ic-live-03 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
