Thermally Drawn Elastomer Nanocomposites for Soft Mechanical Sensors.
conductive polymer nanocomposites
functional fibers
pressure sensors
soft materials
soft robotics
strain sensors
Journal
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
ISSN: 2198-3844
Titre abrégé: Adv Sci (Weinh)
Pays: Germany
ID NLM: 101664569
Informations de publication
Date de publication:
May 2023
May 2023
Historique:
revised:
02
02
2023
received:
21
12
2022
medline:
1
3
2023
pubmed:
1
3
2023
entrez:
28
2
2023
Statut:
ppublish
Résumé
Stretchable and conductive nanocomposites are emerging as important constituents of soft mechanical sensors for health monitoring, human-machine interactions, and soft robotics. However, tuning the materials' properties and sensor structures to the targeted mode and range of mechanical stimulation is limited by current fabrication approaches, particularly in scalable polymer melt techniques. Here, thermoplastic elastomer-based nanocomposites are engineered and novel rheological requirements are proposed for their compatibility with fiber processing technologies, yielding meters-long, soft, and highly versatile stretchable fiber devices. Based on microstructural changes in the nanofiller arrangement, the resistivity of the nanocomposite is tailored in its final device architecture across an entire order of magnitude as well as its sensitivity to strain via tuning thermal drawing processing parameters alone. Moreover, the prescribed electrical properties are coupled with suitable device designs and several fiber-based sensors are proposed aimed at specific types of deformations: i) a robotic fiber with an integrated bending mechanism where changes as small as 5° are monitored by piezoresistive nanocomposite elements, ii) a pressure-sensing fiber based on a geometrically controlled resistive signal that responds with a sub-newton resolution to changes in pressing forces, and iii) a strain-sensing fiber that tracks changes in capacitance up to 100% elongation.
Identifiants
pubmed: 36852621
doi: 10.1002/advs.202207573
pmc: PMC10161033
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2207573Subventions
Organisme : Swiss National Science Foundation
ID : 200021_204579
Pays : Switzerland
Organisme : European Research Council
ID : 679211"FLOWTONICS"
Pays : International
Informations de copyright
© 2023 The Authors. Advanced Science published by Wiley-VCH GmbH.
Références
Sci Robot. 2019 Jan 30;4(26):
pubmed: 33137762
Adv Sci (Weinh). 2023 May;10(13):e2207573
pubmed: 36852621
ACS Appl Mater Interfaces. 2015 Mar 25;7(11):6317-24
pubmed: 25735398
Sci Rep. 2017 Sep 8;7(1):10958
pubmed: 28887503
Nat Commun. 2020 Jul 15;11(1):3537
pubmed: 32669555
Sci Robot. 2018 Nov 21;3(24):
pubmed: 33141713
Adv Mater. 2017 Oct;29(39):
pubmed: 28833673
Nat Nanotechnol. 2011 May;6(5):296-301
pubmed: 21441912
Opt Express. 2010 Nov 8;18(23):24264-75
pubmed: 21164772
Adv Mater. 2019 Jan;31(1):e1802348
pubmed: 30272829
ACS Nano. 2014 May 27;8(5):4689-97
pubmed: 24592988
J Phys Chem B. 2008 Oct 9;112(40):12606-11
pubmed: 18785703
ACS Nano. 2015 Jan 27;9(1):409-18
pubmed: 25559661
Adv Mater. 2018 Jul;30(27):e1707251
pubmed: 29799143
Nat Biotechnol. 2015 Mar;33(3):277-84
pubmed: 25599177
Nanoscale Adv. 2019 May 8;1(6):2337-2347
pubmed: 36131959
Polymers (Basel). 2021 Feb 16;13(4):
pubmed: 33669330
Nat Nanotechnol. 2018 Nov;13(11):1048-1056
pubmed: 30104619
Nanoscale. 2019 Mar 28;11(13):5884-5890
pubmed: 30869716
ACS Nano. 2014 May 27;8(5):5154-63
pubmed: 24749972