Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91835
DC Field | Value | Language |
---|---|---|
dc.contributor | Institute of Textiles and Clothing | en_US |
dc.creator | Jiang, C | en_US |
dc.creator | Lai, CL | en_US |
dc.creator | Xu, B | en_US |
dc.creator | So, MY | en_US |
dc.creator | Li, Z | en_US |
dc.date.accessioned | 2021-12-23T02:14:43Z | - |
dc.date.available | 2021-12-23T02:14:43Z | - |
dc.identifier.issn | 2211-2855 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/91835 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2021 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
dc.rights | The following publication Jiang, C., Lai, C. L., Xu, B., So, M. Y., & Li, Z. (2022). Fabric-rebound triboelectric nanogenerators with loops and layered structures for energy harvesting and intelligent wireless monitoring of human motions. Nano Energy, 93, 106807 is available at https://dx.doi.org/10.1016/j.nanoen.2021.106807. | en_US |
dc.subject | Energy harvesting | en_US |
dc.subject | Self-powered sensors | en_US |
dc.subject | Textiles | en_US |
dc.subject | Triboelectric nanogenerator | en_US |
dc.subject | Wireless intelligent system | en_US |
dc.title | Fabric-rebound triboelectric nanogenerators with loops and layered structures for energy harvesting and intelligent wireless monitoring of human motions | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 93 | en_US |
dc.identifier.doi | 10.1016/j.nanoen.2021.106807 | en_US |
dcterms.abstract | Self-powered electronic textiles (e-textiles) and triboelectric nanogenerators (TENGs) have been explored for the development of energy-harvesting facilities which provide sustainable power supplements for portable, wearable, and low-energy electronics. However, it requires the features of excellent structural stability and superior capability in sensing applications. In this study, we present and develop a new kind of fabric-rebound triboelectric nanogenerator (FR-TENG) that could be used for efficient energy harvesting and self-powered sensing. For improvement of electric performance, a systematic study has also been carried out to investigate various structural parameters for the property optimization of FR-TENGs. The as-made FR-TENG has shown stable electric performance in energy harvesting, cyclic washing capability, and mechanical durability. The full-textile structure of FR-TENG enhances its adaptability and rebound ability, and the open-circuit voltage, short circuit current and power density of the FR-TENG reach up to 418.09 V, 65.85 μA and 199.14 μW⋅cm−2, respectively. Furthermore, the FR-TENGs are used as smart carpets to build up a self-powered, wireless and intelligent system for monitoring human motions. This study proposes a new perspective for an all-textile TENGs and shows the advanced human-machine software interface in sensing applications. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Nano energy, Mar. 2022, v. 93, 106807 | en_US |
dcterms.isPartOf | Nano energy | en_US |
dcterms.issued | 2022-03 | - |
dc.identifier.scopus | 2-s2.0-85120732786 | - |
dc.identifier.eissn | 2211-3282 | en_US |
dc.identifier.artn | 106807 | en_US |
dc.description.validate | 202112 bcvc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1119-n01 | - |
dc.identifier.SubFormID | 43959 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Innovation and Technology Commission of Hong Kong (Project No. ITS/086/19) | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Jiang_Fabric-rebound_Triboelectric_Nanogenerators.pdf | Pre-Published version | 3.03 MB | Adobe PDF | View/Open |
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