Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor

Hu, Ning; Karube, Yoshifumi; Chen, Yan; Masuda, Zen; Fukunaga, H.

doi:10.1016/j.actamat.2008.02.030

Cited by 855 publications

(651 citation statements)

References 21 publications

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“…Evaluation of the electrical properties was performed by considering the randomly distributed CNTs (i.e., conductor) as an equivalent conductor or resistor network [37]. The details of the procedure are reported in a previous study [54] but are briefly summarized here.…”

Section: Strain Sensing Simulationmentioning

confidence: 99%

“…With the exception of a few studies [29,37], most studies focused solely on experiments [24-28, 30, 42] or numerical simulations [28,[38][39][40][41]. Therefore, the objective of this study was to characterize the strain sensing properties of MWCNT-Pluronic ® nanocomposites, both experimentally and using a 2D percolation-based numerical model.…”

Section: Introductionmentioning

confidence: 99%

“…As a result, analytical methods were used to better understand the relationship between the nano-scale features of thin film constituents and their bulk electrical and electromechanical properties. For example, Hu et al [37] modeled nanotubes as soft-core cylinders dispersed in a cubic space to study the electrical and piezoresistive response of the model. Tunneling between neighboring nanotubes was considered as the main mechanism for enabling nanocomposite piezoresistivity, while intrinsic CNT piezoresistivity and CNT-to-CNT contact resistance were not considered.…”

Section: Introductionmentioning

confidence: 99%

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Carbon nanotube thin film strain sensors: comparison between experimental tests and numerical simulations

Lee¹,

Loh²

2017

Nanotechnology

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Carbon nanotubes can be randomly deposited in polymer thin film matrices to form nanocomposite strain sensors. However, a computational framework that enables the direct design of these nanocomposite thin films is still lacking. The objective of this study is to derive an experimentally validated and two-dimensional numerical model of carbon nanotube-based thin film strain sensors. This study consisted of two parts. First, multi-walled carbon nanotube (MWCNT)-Pluronic strain sensors were fabricated using vacuum filtration, and their physical, electrical, and electromechanical properties were evaluated. Second, scanning electron microscope images of the films were used for identifying topological features of the percolated MWCNT network, where the information obtained was then utilized for developing the numerical model. Validation of the numerical model was achieved by ensuring that the area ratios (of MWCNTs relative to the polymer matrix) were equivalent for both the experimental and modeled cases. Strain sensing behavior of the percolation-based model was simulated and then compared to experimental test results.

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Section: Strain Sensing Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Carbon nanotube thin film strain sensors: comparison between experimental tests and numerical simulations

Lee¹,

Loh²

2017

Nanotechnology

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“…While the piezoresistance of conventional e-skins constituting a planar composite film is affected predominantly by the R F change, the piezoresistance of the interlocked microstructures is dominated by variations in R C . For conductive composites, the piezoresistance is affected mainly by the tunneling resistance 29,30 . Similarly, in the interlocked MWNT/PDMS composite films of the present work, contact resistance is dominated by the tunneling resistance (R T ) between microstructured composite films, which is inversely proportional to the variation in contact area according to the equation…”

Section: Resultsmentioning

confidence: 99%

Tailoring force sensitivity and selectivity by microstructure engineering of multidirectional electronic skins

et al. 2018

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Electronic skins (e-skins) with high sensitivity to multidirectional mechanical stimuli are crucial for healthcare monitoring devices, robotics, and wearable sensors. In this study, we present piezoresistive e-skins with tunable force sensitivity and selectivity to multidirectional forces through the engineered microstructure geometries (i.e., dome, pyramid, and pillar). Depending on the microstructure geometry, distinct variations in contact area and localized stress distribution are observed under different mechanical forces (i.e., normal, shear, stretching, and bending), which critically affect the force sensitivity, selectivity, response/relaxation time, and mechanical stability of e-skins. Microdome structures present the best force sensitivities for normal, tensile, and bending stresses. In particular, microdome structures exhibit extremely high pressure sensitivities over broad pressure ranges (47,062 kPa −1 in the range of <1 kPa, 90,657 kPa −1 in the range of 1-10 kPa, and 30,214 kPa −1 in the range of 10-26 kPa). On the other hand, for shear stress, micropillar structures exhibit the highest sensitivity. As proof-of-concept applications in healthcare monitoring devices, we show that our e-skins can precisely monitor acoustic waves, breathing, and human artery/carotid pulse pressures. Unveiling the relationship between the microstructure geometry of e-skins and their sensing capability would provide a platform for future development of high-performance microstructured e-skins.

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“…These advantages make them potential sensing elements for applications requiring compliant materials such as electronictextiles, artificial skins and other large deformation measurements [7]. Several recent studies have investigated the piezoresistance of conductive nanoparticle composites [8][9][10][11][12] Investigations by Knite et al [13] and by Wichmann et al [14] have compared the strain sensing capability between carbon black and MWNT in poly(isoprene) composites.…”

Section: Introductionmentioning

confidence: 99%

Development and characterization of piezoresistive porous TPU-MWNT nanocomposites

Rizvi

Naguib

2014

AIP Conference Proceedings

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Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor

Cited by 855 publications

References 21 publications

Carbon nanotube thin film strain sensors: comparison between experimental tests and numerical simulations

Carbon nanotube thin film strain sensors: comparison between experimental tests and numerical simulations

Tailoring force sensitivity and selectivity by microstructure engineering of multidirectional electronic skins

Development and characterization of piezoresistive porous TPU-MWNT nanocomposites

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