Characterizing the Resistance Relaxation of the Fabric-based Resistive Sensors Based on an Electro-mechanical Model

Gao, Yuanhang; Li, Qiao; Dong, Aihua; Wang, Fei; Xi, Wang

doi:10.1016/j.sna.2020.112041

Cited by 19 publications

(14 citation statements)

References 30 publications

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“…The viscoelastic material subjected to stresses exhibits a viscoelastic stress relaxation behavior . This feature of viscoelastic PDMS leads to the resistance relaxation phenomenon of MXene/WCNT-based strain sensors, which is responsible for the formation of the two peaks in Figure a,b …”

Section: Resultsmentioning

confidence: 99%

“…39 This feature of viscoelastic PDMS leads to the resistance relaxation phenomenon of MXene/WCNT-based strain sensors, which is responsible for the formation of the two peaks in Figure 3a,b. 40 For strain sensors, the GF that is defined by (ΔR/R 0 )/ε is an important parameter to evaluate the sensitivity of sensing devices. Figure 3c illustrates that the relationship between ΔR/ R 0 and ε was not linear.…”

Section: Resultsmentioning

confidence: 99%

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Stretchable and Highly Sensitive Strain Sensor Based on a 2D MXene and 1D Whisker Carbon Nanotube Binary Composite Film

You

Zhang

et al. 2022

ACS Appl. Mater. Interfaces

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We fabricate a 2D MXene and 1D whisker carbon nanotube (WCNT) binary composite, where the MXene layer was sandwiched between two WCNT films, and assemble a flexible resistive-type strain sensor using this composite film. The deformations of the conductive networks trigged by the external mechanical stimuli cause the variations of the number of effective conductive paths, which result in the changes of the electric resistance of composite films. The resistances of the MXene/WCNT composite films that carry the strain information about the external mechanical stimuli are monitored. In addition, we demonstrate the role of the conductive MXene networks and the WCNT networks in responding to the external mechanical stimuli. The MXene networks dominate the variations of the resistance of the strain sensors in the low strain range. In the middle strain range, the deformations of both the MXene networks and the WCNT networks are responsible for the variations of the resistance of the strain sensors. In the high strain range, an “island bridge” like conductive network forms, where MXenes act as islands and WCNTs connect the adjacent MXene islands like bridges. The multiple types of conductive networks lead to the high sensitivity of the MXene/WCNT-based strain sensors over a wide strain range and a wide response window. This stretchable strain sensor exhibits good performances in detecting human muscle motions with a wide strain range and has the potentials of being applicable to wearable electronics.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Stretchable and Highly Sensitive Strain Sensor Based on a 2D MXene and 1D Whisker Carbon Nanotube Binary Composite Film

You

Zhang

et al. 2022

ACS Appl. Mater. Interfaces

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“…During static and dynamic loadings for elastomeric-based conductive composite materials, the relative distance between the internal conductive particles, which form the conductive network changes and the particles fails to return to their initial relative positions upon unloading. , Macroscopically, this unrecoverable deformation occurs because of the viscoelastic behavior of the polymer matrix. Once such fibers are exposed to dynamic and quasi-static deformations, the relaxation in the polymer chains enables the electrical resistance decay/relax in both cases . Indeed, earlier works have explained this phenomenon using electrical viscosity modeling by modifying the Weichert model for quasi-static stress relaxation.…”

Section: Resultsmentioning

confidence: 99%

Electromechanical Performance of Strain Sensors Based on Viscoelastic Conductive Composite Polymer Fibers

Zhang

Innocent

Tang

et al. 2022

ACS Appl. Mater. Interfaces

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Flexible conductive polymer composite (CPC) fibers that show large changes in resistance with deformation have recently gained much attention as strain-sensing components for future wearable electronics. However, the electrical resistance of these materials decays with time during dynamic cyclic loading, a deformation performed to simulate their real application as strain sensors. Despite the extensive research on CPC fibers, the mechanism leading to this decay in the electromechanical response under repetitive cycles remains unreported. Herein, this behavior is investigated using fiber-based strain sensors wet spun from thermoplastic polyurethane (TPU) consisting of a carbonaceous hybrid conductive filler system of carbon black (CB) and carbon nanotubes (CNTs). We found electrical viscosity to predict the observed electromechanical resistance decay. This implies that cycling these materials enables the relaxation of both the polymer chains and the conductive network. In addition, the resulting piezoresistive fibers are sensitive to deformation in the region of low strain (gauge factor of 6.0 within 3.0% strain), remain conductive under 280.5% deformation, and are stable for more than 2000 cycles. Finally, we demonstrate the potential of TPU/CB-CNT fibers as strain sensors for monitoring human motion.

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“…10 Among them, the prediction of resistive relaxation induced by viscoelastic matrix materials remains challenging, hindering the accurate prediction and calibration of the resistive sensors. 11…”

Section: Introductionmentioning

confidence: 99%

Modeling the resistive viscoelasticity of conductive polymer composites for sensor usage

Wang

Xiao

2023

Soft Matter

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Characterizing the Resistance Relaxation of the Fabric-based Resistive Sensors Based on an Electro-mechanical Model

Cited by 19 publications

References 30 publications

Stretchable and Highly Sensitive Strain Sensor Based on a 2D MXene and 1D Whisker Carbon Nanotube Binary Composite Film

Stretchable and Highly Sensitive Strain Sensor Based on a 2D MXene and 1D Whisker Carbon Nanotube Binary Composite Film

Electromechanical Performance of Strain Sensors Based on Viscoelastic Conductive Composite Polymer Fibers

Modeling the resistive viscoelasticity of conductive polymer composites for sensor usage

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