Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/114377
DC FieldValueLanguage
dc.contributorSchool of Fashion and Textilesen_US
dc.creatorWang, Xen_US
dc.creatorGuan, Xen_US
dc.creatorHe, Zen_US
dc.creatorLi, Len_US
dc.creatorGao, Yen_US
dc.creatorTan, Den_US
dc.creatorYin, Ten_US
dc.creatorFu, Hen_US
dc.creatorXu, Ben_US
dc.date.accessioned2025-07-29T03:52:13Z-
dc.date.available2025-07-29T03:52:13Z-
dc.identifier.issn2211-2855en_US
dc.identifier.urihttp://hdl.handle.net/10397/114377-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectCore spun/sheath yarnen_US
dc.subjectElectrospinning-assisteden_US
dc.subjectMultilayer structureen_US
dc.subjectSignal monitoringen_US
dc.titleMultilayer nanofiber yarns via electrospinning-assisted continuous fabrication for body motion monitoring and intelligent rehabilitationen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume142en_US
dc.identifier.doi10.1016/j.nanoen.2025.111287en_US
dcterms.abstractCore spun/sheath yarns for textile-based triboelectric nanogenerators (T-TENGs) have garnered significant interest in the field of flexible wearables owing to their unique multilayer structure. However, poor interfacial compatibility and insufficient mechanical durability between yarn structures lead to charge leakage and unstable performance output in triboelectric nanogenerators. In this study, we have designed and achieved the continuous fabrication of highly uniform, super-durable, and ultrafine multilayer nanofiber yarns (MNY) through a simple electrospinning-assisted and coating technique. By optimizing the electrospinning process, nanoscale fibers were used to tightly and uniformly form the multilayer structure without compromising charge transfer between the conductive and triboelectric layers. Additionally, the multilayer triboelectric nanogenerators (MNY-TENG) demonstrated stable and consistent electrical responses in terms of output voltage and short-circuit current under varying loads and frequencies, maintaining stable voltage output over 30,000 contact cycles and 20 washing cycles. Furthermore, the MNY-TENG shows great potential in various life scenarios, including monitoring body signals and badminton stroke posture, and has been innovatively combined with machine learning for upper limb rehabilitation training.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationNano energy, Sept. 2025, v. 142, pt. B, 111287en_US
dcterms.isPartOfNano energyen_US
dcterms.issued2025-09-
dc.identifier.scopus2-s2.0-105009343723-
dc.identifier.eissn2211-3282en_US
dc.identifier.artn111287en_US
dc.description.validate202507 bchyen_US
dc.description.oaNot applicableen_US
dc.identifier.SubFormIDG000038/2025-07-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe authors acknowledge The Hong Kong Polytechnic University for funding support (Project No. P0048709) of this work.en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2027-09-30en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 2027-09-30
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.