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Cited by 990

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor

Open access
Hu, Ning, Karube, Yoshifumi, Yan, Cheng, Masuda, Zen, Fukunaga, Hisao·2008·Acta Materialia

Abstract

A strain sensor has been fabricated from a polymer nanocomposite with multiwalled carbon nanotube (MWNT) fillers. The piezoresistivity of this nanocomposite strain sensor has been investigated based on an improved three-dimensional (3D) statistical resistor network model incorporating the tunneling effect between the neighboring carbon nanotubes (CNTs), and a fiber reorientation model. The numerical results agree very well with the experimental measurements. As compared with traditional strain gauges, much higher sensitivity can be obtained in the nanocomposite sensors when the volume fraction of CNT is close to the percolation threshold. For a small CNT volume fraction, weak nonlinear piezoresistivity is observed both experimentally and from numerical simulation. The tunneling effect is considered to be the principal mechanism of the sensor under small strains.

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Crossref · 10.1016/j.actamat.2008.02.030

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Metadata

Authors
Hu, N., Karube, Y., Yan, C., Masuda, Z., & Fukunaga, H.
Venue
Acta Materialia
Publisher
Elsevier BV
Published
2008-08
Volume
56
Issue
13
Pages
2929-2936
ISSN
1359-6454 (ISSN-L)
OpenAlex
W1549826942
Cited by
990
References
12
FWCI
11.12
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor. https://app.cochat.ai/papers/10.1016/j.actamat.2008.02.030
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Hu, N., Karube, Y., Yan, C., Masuda, Z., & Fukunaga, H. (2008). Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor. Acta Materialia. https://doi.org/10.1016/j.actamat.2008.02.030

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.