Investigation of electro-mechanical behavior of carbon nanotube yarns during tensile loading

Obaid, Ahmad Abu; Heider, Dirk; Gillespie, John W.

doi:10.1016/j.carbon.2015.05.091

Cited by 29 publications

(12 citation statements)

References 26 publications

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“…In Zhao et al, 26 a longitudinal gauge factor not exceeding 0.38 was reported, and in Abot et al, 27 0.9 was reported. The maximum value was found in Abu Obaid et al 28 in the range from 1.34 to 2 with the average value around 1.7, which is comparable to that obtained by traditional strain gauges. The main reason for this discrepancy is the low Young's modulus of CNT yarns (about 70 GPa) as compared with carbon fibers.…”

Section: Smart Textiles For Shmsupporting

confidence: 63%

“…A review of the literature also showed some amount of work focused on the study of the properties of polymeric yarns with dispersed CNTs. [25][26][27][28] It has been shown that CNTs have great potential as strain gauges because their gauge factor is estimated to be 15, whereas the metal does not exceed 4. Some authors note that CNT yarns have comparable mechanical properties and superior electrical properties in comparison with carbon fibers.…”

Section: Smart Textiles For Shmmentioning

confidence: 99%

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Carbon rovings as strain sensors for structural health monitoring of engineering materials and structures

Quadflieg

Stolyarov

Gries

2016

The Journal of Strain Analysis for Engineering Design

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A prospective method for structural health monitoring of engineering materials and structures is based on embedded strain sensors in the form of electrically conductive carbon rovings. This article presents the results of the application of carbon rovings and the development of flexible textile fabrics based on these rovings for measuring the deformation in engineering materials, including concrete and polymer-and cement-based composites. The possibility of using carbon rovings as a strain sensor is demonstrated via measurements in tensile and four-point bending tests. The experimental setups and methods for measuring the electrical resistance of carbon roving as a function of strain in the roving, concrete, and composites are described. A good correlation has been found between the electrical resistance-strain curve of the carbon roving (used as a calibration curve) and the measurements in the concrete and polymer composites from tensile tests. The difference in the character of the flexural behavior and the electrical signal in the carbon roving cement-based composite, affected by the stitch type and shape of the carbon roving cross section in textile fabric, was found through four-point bending tests.

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Section: Smart Textiles For Shmsupporting

confidence: 63%

Section: Smart Textiles For Shmmentioning

confidence: 99%

Carbon rovings as strain sensors for structural health monitoring of engineering materials and structures

Quadflieg

Stolyarov

Gries

2016

The Journal of Strain Analysis for Engineering Design

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“…Further to measure the sensitivity of graphene-based BP/PVA, the gauge factor based on relative resistance change and strain is performed in a strain range of (ε ~ 4%), as 75-graphene-based BP/PVA starts to deform its shape after (ε ~ 4%) and linear relationship between strain and relative resistance change no longer holds 58 . The gauge factor itself is a slope of relative resistance change curve versus strain.…”

Section: Characterization Of Pva Infiltrated Graphene-based Bucky Papermentioning

confidence: 99%

Graphene/PVA buckypaper for strain sensing application

Mehmood

Mubarak

Khalid

et al. 2020

Sci Rep

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Strain sensors in the form of buckypaper (BP) infiltrated with various polymers are considered a viable option for strain sensor applications such as structural health monitoring and human motion detection. Graphene has outstanding properties in terms of strength, heat and current conduction, optics, and many more. However, graphene in the form of BP has not been considered earlier for strain sensing applications. In this work, graphene-based BP infiltrated with polyvinyl alcohol (PVA) was synthesized by vacuum filtration technique and polymer intercalation. First, Graphene oxide (GO) was prepared via treatment with sulphuric acid and nitric acid. Whereas, to obtain high-quality BP, GO was sonicated in ethanol for 20 min with sonication intensity of 60%. FTIR studies confirmed the oxygenated groups on the surface of GO while the dispersion characteristics were validated using zeta potential analysis. The nanocomposite was synthesized by varying BP and PVA concentrations. Mechanical and electrical properties were measured using a computerized tensile testing machine, two probe method, and hall effect, respectively. The electrical conducting properties of the nanocomposites decreased with increasing PVA content; likewise, electron mobility also decreased while electrical resistance increased. The optimization study reports the highest mechanical properties such as tensile strength, Young’s Modulus, and elongation at break of 200.55 MPa, 6.59 GPa, and 6.79%, respectively. Finally, electrochemical testing in a strain range of ε ~ 4% also testifies superior strain sensing properties of 60 wt% graphene BP/PVA with a demonstration of repeatability, accuracy, and preciseness for five loading and unloading cycles with a gauge factor of 1.33. Thus, results prove the usefulness of the nanocomposite for commercial and industrial applications.

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“…33 the microstructural motion of a biphasic CNN is analysed under compression; in Abu Obaid et al . 34 the evolution of the helicoidal organization of the fibres of CNT yarns is observed under tension; and in Stallard et al . 35 straightening and buckling of fibres within direct-spun CNT mats submitted to very large tensile strains are reported.…”

Section: Introductionmentioning

confidence: 96%

Aggregate-driven reconfigurations of carbon nanotubes in thin networks under strain: in-situ characterization

Bodelot

Pavić

Hallais

et al. 2019

Sci Rep

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This work focuses on the in-situ characterization of multi-walled carbon nanotube (CNT) motions in thin random networks under strain. Many fine-grain models have been devised to account for CNT motions in carbon nanotube networks (CNN). However, the validation of these models relies on mesoscopic or macroscopic data with very little experimental validation of the physical mechanisms actually arising at the CNT scale. In the present paper, we use in-situ scanning electron microscopy imaging and high-resolution digital image correlation to uncover prominent mechanisms of CNT motions in CNNs under strain. Results show that thin and sparse CNNs feature stronger strain heterogeneities than thicker and denser ones. It is attributed to the complex motions of individual CNTs connected to aggregates within thin and sparse CNNs. While the aggregates exhibit a collective homogeneous deformation, individual CNTs connecting them are observed to fold, unwind or buckle, seemingly to accommodate the motion of these aggregates. In addition, looser aggregates feature internal reconfigurations via cell closing, similar to foam materials. Overall, this suggests that models describing thin and sparse CNN deformation should integrate multiphase behaviour (with various densities of aggregates in addition to individual CNTs), heterogeneity across surface, as well as imperfect substrate adhesion.

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Investigation of electro-mechanical behavior of carbon nanotube yarns during tensile loading

Cited by 29 publications

References 26 publications

Carbon rovings as strain sensors for structural health monitoring of engineering materials and structures

Carbon rovings as strain sensors for structural health monitoring of engineering materials and structures

Graphene/PVA buckypaper for strain sensing application

Aggregate-driven reconfigurations of carbon nanotubes in thin networks under strain: in-situ characterization

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