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
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

e2207573

Subventions

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.

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Auteurs

Andreas Leber (A)

Institute of Materials, École polytechnique fédérale de Lausanne, Lausanne, 1015, Switzerland.

Stella Laperrousaz (S)

Institute of Materials, École polytechnique fédérale de Lausanne, Lausanne, 1015, Switzerland.

Yunpeng Qu (Y)

Institute of Materials, École polytechnique fédérale de Lausanne, Lausanne, 1015, Switzerland.

Chaoqun Dong (C)

Institute of Materials, École polytechnique fédérale de Lausanne, Lausanne, 1015, Switzerland.

Inès Richard (I)

Institute of Materials, École polytechnique fédérale de Lausanne, Lausanne, 1015, Switzerland.

Fabien Sorin (F)

Institute of Materials, École polytechnique fédérale de Lausanne, Lausanne, 1015, Switzerland.

Classifications MeSH