Flexible TPU strain sensors with tunable sensitivity and stretchability by coupling AgNWs with rGO

Li, Yan; Wang, Shan; Xiao, Zhichao; Yang, Yi; Deng, Bowen; Yin, Bo; Ke, Kai; Yang, Ming‐Bo

doi:10.1039/d0tc00029a

Cited by 83 publications

(75 citation statements)

References 69 publications

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“…In this work, an electrospinning TPU fibrous film was chosen as the polymer matrix to produce a strain sensor. For conductive carbon nano-fillers of CPCs, they are widely used that zero-dimension carbon black (CB) [24,25], onedimensional carbon nanotubes (CNTs) [26][27][28][29] and carbon fibers (CFs) [30], and two-dimensional graphene and MXene [31][32][33][34]. Because of the massive industrial production, processing convenience and economic availability, conductive CB particles were used.…”

Section: Introductionmentioning

confidence: 99%

Highly Sensitive Ultrathin Flexible Thermoplastic Polyurethane/Carbon Black Fibrous Film Strain Sensor with Adjustable Scaffold Networks

2021

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In recently years, high-performance wearable strain sensors have attracted great attention in academic and industrial. Herein, a conductive polymer composite of electrospun thermoplastic polyurethane (TPU) fibrous film matrix-embedded carbon black (CB) particles with adjustable scaffold network was fabricated for high-sensitive strain sensor. This work indicated the influence of stereoscopic scaffold network structure built under various rotating speeds of collection device in electrospinning process on the electrical response of TPU/CB strain sensor. This structure makes the sensor exhibit combined characters of high sensitivity under stretching strain (gauge factor of 8962.7 at 155% strain), fast response time (60 ms), outstanding stability and durability (> 10,000 cycles) and a widely workable stretching range (0–160%). This high-performance, wearable, flexible strain sensor has a broad vision of application such as intelligent terminals, electrical skins, voice measurement and human motion monitoring. Moreover, a theoretical approach was used to analyze mechanical property and a model based on tunneling theory was modified to describe the relative change of resistance upon the applied strain. Meanwhile, two equations based from this model were first proposed and offered an effective but simple approach to analyze the change of number of conductive paths and distance of adjacent conductive particles.

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Section: Introductionmentioning

confidence: 99%

Highly Sensitive Ultrathin Flexible Thermoplastic Polyurethane/Carbon Black Fibrous Film Strain Sensor with Adjustable Scaffold Networks

2021

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“…[ 81 ] Although low‐GF sensors are viable for measuring large dynamic motions (e.g., knee bending), the accurate monitoring of subtle muscle motions (e.g., blinking) requires sensors with a high GF. [ 82–84 ] Moreover, high sensitivity ensures a high signal‐to‐noise ratio, which helps achieve high measurement accuracy. In an AR/VR system, a fast response is another important factor for real‐time human motion detection, and it can help minimize device latency.…”

Section: Nanowire‐based Wearable Skin Sensory Input Interfacesmentioning

confidence: 99%

“…Recently, nanowire‐based strain gauges have drawn considerable research attention owing to their excellent conductivity, stretchability, and flexibility. [ 56,83,87,88,99,102–105 ] As shown in Table 1 , many studies have reported nanowire‐based strain gauges for monitoring human motions between 2015 and 2020. These applications can be categorized into nine types based on the type of motion it monitors: facial, throat, neck, body posture, elbow/knee, wrist, opisthenar, finger, and foot.…”

Section: Nanowire‐based Wearable Skin Sensory Input Interfacesmentioning

confidence: 99%

Nanowire‐Based Soft Wearable Human–Machine Interfaces for Future Virtual and Augmented Reality Applications

Wang

Yap

Gong

et al. 2021

Adv Funct Materials

103

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A virtual world has now become a reality as augmented reality (AR) and virtual reality (VR) technology become commercially available. Similar to how humans interact with the physical world, AR and VR systems rely on human–machine interface (HMI) sensors to interact with the virtual world. Currently, this is achieved via state of‐the‐art wearable visual and auditory tools that are rigid, bulky, and burdensome, thereby causing discomfort during practical application. To this end, a skin sensory interface has the potential to serve as the next‐generation AR/VR technology because skin‐like wearable sensors have advantages in that they can be ultrathin, ultra‐soft, conformal, and imperceptible, which provides the ultimate comfort and immersive experience for users. In this progress report, nanowire‐based soft wearable HMI sensors including acoustic, strain, pressure sensors, and physiological sensors are reviewed that may be adopted as skin sensory inputs in future AR/VR systems. Further, nanowire‐based soft contact lenses, haptic force, and thermal and vibration actuators are covered as potential means of feedback for future AR/VR systems. Considering the possible effects of the virtual world on human health, skin‐like wearable artery pulses, glucose, and lactate sensors are also described, which may enable imperceptible health monitoring during future AR/VR practices.

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“…In this regard, graphene, carbon nanotubes, and other carbon nanoparticles, such as carbon black, have been widely explored, among others. The addition of these nanoparticles to polymers with high strain capabilities such as fluoroelastomers [37], thermoplastic polyurethane [38], or vulcanized silicone [39] has demonstrated excellent sensing capabilities. More specifically, they present enormous potential for human motion sensing or wearable electronics [37] as the GF at high strain levels (>20%) can be in the range of 400-4000 depending on the content and morphology of the carbon nanofiller.…”

Section: Shm In Nanocomposite Coatingsmentioning

confidence: 99%

Smart Coatings with Carbon Nanoparticles

Sánchez–Romate¹,

Jiménez‐Suárez²,

Prolongo³

2020

21st Century Surface Science - A Handbook

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Smart coatings based on polymer matrix doped with carbon nanoparticles, such as carbon nanotubes or graphene, are being widely studied. The addition of carbon nanofillers into organic coatings usually enhances their performance, increasing their barrier properties, corrosion resistance, hardness, and wear strength. Moreover, the developed composites provide a new generation of protective organic coatings, being able to intelligently respond to damage or external stimuli. Carbon nanoparticles induce new functionalities to polymer coatings, most of them related to the higher electrical conductivity of nanocomposite due to the formation of percolation network. These coatings can be used as strain sensors and gauges, based on the variation of their electrical resistance (structural health monitoring, SHM). In addition, they act as self-heaters by the application of electrical voltage associated to resistive heating by Joule effect. This opens new potential applications, particularly deicing and defogging coatings. Superhydrophobic and self-cleaning coatings are inspired from lotus effect, designing micro-and nanoscaled hierarchical surfaces. Coatings with self-healable polymer matrix are able to repair surface damages. Other relevant smart capabilities of these new coatings are flame retardant, lubricating, stimuli-chromism, and antibacterial activity, among others.

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Flexible TPU strain sensors with tunable sensitivity and stretchability by coupling AgNWs with rGO

Abstract: The layer-by-layer structure formed by the synergistic effect of GO and AgNWs endows the strain sensors with high sensitivity and a wide working range.

Cited by 83 publications

References 69 publications

Highly Sensitive Ultrathin Flexible Thermoplastic Polyurethane/Carbon Black Fibrous Film Strain Sensor with Adjustable Scaffold Networks

Highly Sensitive Ultrathin Flexible Thermoplastic Polyurethane/Carbon Black Fibrous Film Strain Sensor with Adjustable Scaffold Networks

Nanowire‐Based Soft Wearable Human–Machine Interfaces for Future Virtual and Augmented Reality Applications

Smart Coatings with Carbon Nanoparticles

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