Modulating the sensing behaviors of poly(styrene-ethylene-butylene-styrene)/carbon nanotubes with low-dimensional fillers for large deformation sensors

Yang, Xudong; Sun, Lingyu; Zhang, Cheng; Huang, Bolong; Chu, Yantao; Zhan, Bowen

doi:10.1016/j.compositesb.2018.12.119

Cited by 36 publications

(33 citation statements)

References 51 publications

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“…Interestingly, the Δ R / R 0 s for the composite 1.5CNS‐1CB at a series of strains (eg, 50%, 70%, and 100%) are all above 20 and it is even up to 99 at strain ε = 100%, as seen in Table . Besides, the Δ R / R 0 values at 50% and 100% strain obtained in this work are much higher than those reported in the literature for other elastomer‐based CPCs with hybrid fillers of CNT‐CB or CNT‐GNP . This indicates the high efficiency of CNS‐CB hybrids for increasing the piezoresistive sensitivity of melt‐mixed TPU‐based CPCs.…”

Section: Resultscontrasting

confidence: 70%

Hybrid systems of three‐dimensional carbon nanostructures with low dimensional fillers for piezoresistive sensors

Sang

Manas‐Zloczower

2019

Polymer Composites

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As an alternative of single filler system, hybrid fillers system is beneficial for the fabrication of elastomer‐based piezoresistive strain sensors with high strain sensitivity for structural health monitoring and human motion detection. However, a comprehensive understanding for the effect of the secondary filler dimensionality on piezoresistive strain sensor sensitivity by hybrid carbon nanofillers strategy is missing. Here, we report a comparative study about the effect of branched carbon nanostructures (CNS, three‐dimensional, 3D) combined with carbon black (CB, 0D) or carbon nanotubes (CNT, 1D) on the piezoresistive behavior of thermoplastic polyurethane (TPU)‐based composites. At either the same total filler content or similar electrical resistivity, using CNS‐CB hybrid is more efficient than using CNS alone or CNS‐CNT hybrid for improving piezoresistive sensitivity of the TPU composites. For instance, the composite 1.5CNS‐1CB has a gauge factor (GF) of 21 and 99 at strain ε = 50 and 100%, respectively, while the composites 2.5CNS and 1.5CNS‐1CNT have GF values of 4.3 and 9.1 at strain ε = 50% and 14 and 20 at strain ε = 100%, respectively. Besides, the TPU composite with CNS‐CB shows a larger response to finger bending (50° on an index finger) by comparison with that contains only CNS, indicating potential applications for human motion detection. This study introduces a facile way to fabricate strain‐sensitive sensors aimed at strain of 50%–100%, strengthening understanding the selection of hybrid carbon nanofillers with different dimensionalities to optimize piezoresistive sensor design.

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Section: Resultscontrasting

confidence: 70%

Hybrid systems of three‐dimensional carbon nanostructures with low dimensional fillers for piezoresistive sensors

Sang

Manas‐Zloczower

2019

Polymer Composites

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“…Liu et al 24 used a simple and effective method to prepare NR/ graphene composite with strain *3% and the GF 46, but the effective strain range was less than 20%, which was suitable for human pulse monitoring. Yang et al 25 prepared the CB/CNT/thermoplastic elastomer composite, GF was only *7.5 when the strain was 20%, and GF tends to decrease with the increase of strain. Chen et al 26 investigated the electrical conductivity of isoprene rubber/CNT/ CB composite with good durability (4850 cycles) and high sensitivity, which was suitable for detect human motions and emotional expressions.…”

Section: Introductionmentioning

confidence: 99%

Resistance-strain sensitive rubber composites filled by multiwalled carbon nanotubes for structuraldeformation monitoring

Liu

Guo

Lin

et al. 2021

Nanomaterials and Nanotechnology

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In this article, multiwalled carbon nanotube/natural rubber composites with resistance-strain sensitivity were prepared by solution method, when the electrical percolation threshold of multiwalled carbon nanotube is only ∼3.5 wt%. The mechanical properties and resistance-strain response sensitivity were studied and analyzed systematically. The dispersion of multiwalled carbon nanotubes in the natural rubber matrix was characterized by field-emission scanning electron microscope and X-ray diffractometer. The composite exhibits good deformation sensitivity (gauge factor >27), large strain sensing range (>200%), and high signal stability when multiwalled carbon nanotube content was appropriate. The composite is suited to application in strain monitoring of large deformation structures since the resistance-strain response is more stable when strain exceeds 100%. To understand the mechanism of the resistance-strain response, the ‘shoulder peak’ of resistance-strain curve was researched and explained by the digital image correlation method, and an analytical model was developed when considering the effects of electronic tunneling and hopping in multiwalled carbon nanotube networks. Both experiment and analytical results confirm the break-restructure process of multiwalled carbon nanotube networks under applied strain cause the resistance-strain response. Finally, the practical application of the composite to monitoring strain load of rubber isolation bearing was realized.

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“…have a significant quantum effect due to the size of nanometer scale in at least one dimension. [1][2][3][4][5][6] These nanomaterials exhibit unique structures and excellent properties, which have unparalleled advantages over traditional materials in many fields. [7][8][9][10][11][12][13] Since the discovery of CNTs in the 1990s, great efforts have been made toward developing low-dimensional materials.…”

Section: Introductionmentioning

confidence: 99%

“…[23,24] The detailed crystal structural parameters of BN are shown in Table 1. [25,26] Among different BN structures, h-BN is stacked with layered sequences, the B and N atoms in the layers are hybridized by sp 2 , and alternately arranged to form a hexagonal honeycomb structure. [27,28] The atomic layer spacing of h-BN is 0.333 nm, which is very close to the atomic layer spacing of graphite (0.334 nm), and the color of h-BN is white, so it is known as "white graphite".…”

Section: Introductionmentioning

confidence: 99%

“…Low‐dimensional nanomaterials (such as fullerenes, carbon nanotubes (CNTs), graphene, molybdenum disulfide, boron nitride (BN), diamond, etc.) have a significant quantum effect due to the size of nanometer scale in at least one dimension [1–6] . These nanomaterials exhibit unique structures and excellent properties, which have unparalleled advantages over traditional materials in many fields [7–13] .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Properties and Preparation Methods of Different Boron Nitride Nanostructures and Applications of Related Nanocomposites

Pan

Liu

et al. 2020

The Chemical Record

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Due to special non-metallic polar bond between the III group (with certain metallic properties) element boron (B) and the V group element nitrogen (N), boron nitride (BN) has unique physical and chemical properties such as strong high-temperature resistance, oxidation resistance, heat conduction, electrical insulation and neutron absorption. Its unique lamellar, reticular and tubular morphologies and physicochemical properties make it attractive in the fields of adsorption, catalysis, hydrogen storage, thermal conduction, insulation, dielectric substrate of electronic devices, radiation protection, polymer composites, medicine, etc. Therefore, the synthesis and properties of BN derived materials become the main research hotspots of lowdimensional nanomaterials. This paper reviews the synthetic methods, overall properties, and applications of BN nanostructures and nanocomposites. In addition, challenges and prospect of this kind of materials are discussed.

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Modulating the sensing behaviors of poly(styrene-ethylene-butylene-styrene)/carbon nanotubes with low-dimensional fillers for large deformation sensors

Cited by 36 publications

References 51 publications

Hybrid systems of three‐dimensional carbon nanostructures with low dimensional fillers for piezoresistive sensors

Hybrid systems of three‐dimensional carbon nanostructures with low dimensional fillers for piezoresistive sensors

Resistance-strain sensitive rubber composites filled by multiwalled carbon nanotubes for structuraldeformation monitoring

The Properties and Preparation Methods of Different Boron Nitride Nanostructures and Applications of Related Nanocomposites

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