Ecoflex-Passivated Graphene–Yarn Composite for a Highly Conductive and Stretchable Strain Sensor

Son, Wonkyeong; Kim, Kyu-Beom; Lee, Sang‐Min; Hyeon, Gibaek; Hwang, Kyung‐Gyun; Park, Wanjun

doi:10.1166/jnn.2019.17097

Cited by 18 publications

(18 citation statements)

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“…[ 3 ] So far, flexible strain sensors have been fabricated by using low‐dimensional carbon materials and flexible matrix materials. Low‐dimensional carbon materials are used as conductive materials, such as carbon nanotubes (CNTs), carbon blacks, graphene, [ 3–5 ] nanowires (NWs), [ 6,7 ] nanoparticles (NPs), [ 8,9 ] and their hybrid micro/nanostructures, [ 10,11 ] while flexible matrix materials of strain sensors are elastic polymers including thermoplastic polyurethane (TPU), [ 7,8,12 ] styrene‐butadiene‐styrene block copolymer, [ 3,13 ] styrene‐ethylene‐butene‐styrene block copolymer (SEBS), [ 10,14 ] polydimethylsiloxane (PDMS), [ 4,15 ] Ecoflex, [ 16 ] and others.…”

Section: Introductionmentioning

confidence: 99%

A Highly Stretchable and Sensitive Strain Sensor Based on Dopamine Modified Electrospun SEBS Fibers and MWCNTs with Carboxylation

Zhou

Liu

et al. 2021

Adv Elect Materials

107

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Wearable flexible electronic strain sensor devices have developed rapidly in recent years due to their potential capacity to detect human motion in various situations. However, it still remains still a big challenge to fabricate strain sensors with high sensitivity over a wide workable strain range. In order to meet this challenge, a new type of strain sensor based on elastomer/carbon nanotube composite fiber is reported in this work. Elastomer fibers are initially prepared via the electrospinning of styrene ethylene butene styrene block copolymer (SEBS). The resultant SEBS fibers are then functionalized by sequentially coating with dopamine (DA) coating and carboxyl group (‐COOH) grafted multi‐walled carbon nanotubes (MWCNTs) under vacuum filtration and ultrasonication. Scanning electron microscopy (SEM) and thermogravimetric analysis reveals that a large amount of MWCNTs is firmly bonded onto the SEBS fibers and evenly distributed. SEBS@PDA/MWCNTs composite fibers based strain sensors exhibit excellent performance, including a high gauge factor of 3717 and large workable strain range up to 530%. Furthermore, the developed sensors demonstrate excellent washing fastness and superior sensitivity in monitoring both small strains (e.g., pulse beats and vocal cord vibrations) and large strains (e.g., finger, elbow, and knee bending).

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Section: Introductionmentioning

confidence: 99%

A Highly Stretchable and Sensitive Strain Sensor Based on Dopamine Modified Electrospun SEBS Fibers and MWCNTs with Carboxylation

Zhou

Liu

et al. 2021

Adv Elect Materials

107

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“…In existing researches, many scalable fabrication methods have been proposed to fabricate flexible strain sensors, such as photolithography, [20,21] spraying, [22] laser direct writing, [23,24] inkjet printing, [25] pencil-drawn method, [26] and dip-coating method. [27] These methods often require complicated procedures or are not efficient or cost-effective.…”

Section: Introductionmentioning

confidence: 99%

3D Printed Reduced Graphene Oxide/Elastomer Resin Composite with Structural Modulated Sensitivity for Flexible Strain Sensor

et al. 2021

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High-performance flexible strain sensors with cost-effective and scalable fabrication methods are highly demanded for human-machine interfaces, soft robotics, and health monitoring. Herein, a digital light processing-based 3D printing method, which manufactures structures in a scalable and efficient layerby-layer manner, is developed to prepare a type of flexible strain sensors consisting of reduced graphene oxide/elastomer resin (RGO/ER) composite as the strain sensing element and RGO/ER composite with rhombic structure as the electrode. The RGO/ER composite as the sensing element has a sensitivity of 6.723 at a linear strain detection range from 0.01% to 40% and a high mechanical stability of more than 10 000 stretching-relaxing cycles. Furthermore, through the structural modulation, the sensitivity of the composite responding to mechanical deformation is modulated and suppressed, which can be used as the electrode for the strain sensor. The all-3D printed device with structurally modulated performance can be used for monitoring various human motions.

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“…As a new-emergent strategy for assembly of graphene 1D fibers, nevertheless, the sensing performance as well as the mechanism is far from being fully exploited, especially when the commercial yarn core is always specifically-strengthened by multiple sheathed fiber layers twisted/coiled through certain angles. With the overview of relevant works, for one thing, it is still not understandable about the variation of the reported gauge sensitivity varied noticeably from 1.5 34 to 56.3 35 with different assembling methods and deformation conditions. For another, it is lacking of a systematic work investigating the structure dependent sensitivity, deformability, and reliability, which is crucial for unveiling the sensing mechanism.…”

Section: Introductionmentioning

confidence: 99%

“…For another, it is lacking of a systematic work investigating the structure dependent sensitivity, deformability, and reliability, which is crucial for unveiling the sensing mechanism. With effective capability to alter and control different microscopic features such as micro-cracks 36 , wrinkles 37 , and packing densities 35 , the pre-stretch process has already become a commonly-applied strategy to tune the performance of varied nanocarbon sensors, including processing efficiency 38 , mechanical/electrical stability 39 , as well as sensing sensitivity 37 . Following this line of thought, the application of pre-stretch toward the understanding of process dependent sensing property and mechanism for the unique graphene enabled smart yarn is highly significant.…”

Section: Introductionmentioning

confidence: 99%

Stretchable Graphene Thin Film Enabled Yarn Sensors with Tunable Piezoresistivity for Human Motion Monitoring

Bai

Zhai

et al. 2019

Sci Rep

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1D graphene based flexible sensors as wearable electronics have recently attracted considerable attentions because of lightweight, high extensibility, easy to wind and weave, and superior sensitivity. In this research, we established a facile and low-cost strategy to construct graphene thin film enabled yarn sensors (GYS) by combining the process of graphene oxide (GO) coating and reducing on polyester (PE) wound spandex yarns. According to systematic processing-property relationship study, a key finding of this work discovers that the degree of resistance recovery as well as gauge sensitivity of GYS can be well controlled and modulated by a pre-stretch treatment. Specifically, as the level of pre-stretch increases from 0 to 60%, the deformable range of sensor that guarantees full resistance recovery prolongs evidently from 0% to ~50%. Meanwhile, the gauge factor of GYS is tunable in the range from 6.40 to 12.06. To understand the pre-stretch process dependent sensing performance, SEM analysis was assisted to evidence the growing size of micro-cracks determining dominantly the behavior of electron transport. Lastly, to take better advantage of GYS, a new wearing mode was demonstrated by direct winding the yarn sensor on varied portions of human body for monitoring different body movements and muscle contracting & relaxing.

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Ecoflex-Passivated Graphene–Yarn Composite for a Highly Conductive and Stretchable Strain Sensor

Cited by 18 publications

References 0 publications

A Highly Stretchable and Sensitive Strain Sensor Based on Dopamine Modified Electrospun SEBS Fibers and MWCNTs with Carboxylation

A Highly Stretchable and Sensitive Strain Sensor Based on Dopamine Modified Electrospun SEBS Fibers and MWCNTs with Carboxylation

3D Printed Reduced Graphene Oxide/Elastomer Resin Composite with Structural Modulated Sensitivity for Flexible Strain Sensor

Stretchable Graphene Thin Film Enabled Yarn Sensors with Tunable Piezoresistivity for Human Motion Monitoring

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