Flexible pressure sensor based on PVDF nanofiber

Gong, Wei; Liu, Tao; Sun, Xiang‐Chao; Li, Pu; Xu, Yang; Hua, Jian‐Guan; Yu, Yan-Hao; Li, Shun‐Xin; Dai, Yunzhi; Song, Xinyu; Lv, Chao; Xia, Hong

doi:10.1016/j.sna.2018.07.057

Cited by 97 publications

(48 citation statements)

References 47 publications

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“…Although the sample with 80% content of PPy has the highest conductivity and modulus of elasticity, its sensing capability was weaker due to excess plastic deformation. Wang et al fabricated a flexible pressure sensor that can be used to monitor body motion in real-time [ 139 ].…”

Section: Applications Of Piezoelectric Electrospun Pvdf Filmsmentioning

confidence: 99%

“…The linear relation between applied pressure and the output voltage was reported. This sensor design has superior properties since it does not require an external power source and contact to measure pressure values [ 139 ]. Recently, Yang et al introduced a flexible capacitive pressure sensor with high sensitivity of 0.99/kPa, based on PVDF nanofilm prepared by electrospinning [ 140 ].…”

Section: Applications Of Piezoelectric Electrospun Pvdf Filmsmentioning

confidence: 99%

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A Review of Piezoelectric PVDF Film by Electrospinning and Its Applications

Kalimuldina

Turdakyn

Abay

et al. 2020

Sensors

235

124

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With the increase of interest in the application of piezoelectric polyvinylidene fluoride (PVDF) in nanogenerators (NGs), sensors, and microdevices, the most efficient and suitable methods of their synthesis are being pursued. Electrospinning is an effective method to prepare higher content β-phase PVDF nanofiber films without additional high voltage poling or mechanical stretching, and thus, it is considered an economically viable and relatively simple method. This work discusses the parameters affecting the preparation of the desired phase of the PVDF film with a higher electrical output. The design and selection of optimum preparation conditions such as solution concentration, solvents, the molecular weight of PVDF, and others lead to electrical properties and performance enhancement in the NG, sensor, and other applications. Additionally, the effect of the nanoparticle additives that showed efficient improvements in the PVDF films was discussed as well. For instance, additives of BaTiO3, carbon nanotubes, graphene, nanoclays, and others are summarized to show their contributions to the higher piezo response in the electrospun PVDF. The recently reported applications of electrospun PVDF films are also analyzed in this review paper.

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Section: Applications Of Piezoelectric Electrospun Pvdf Filmsmentioning

confidence: 99%

Section: Applications Of Piezoelectric Electrospun Pvdf Filmsmentioning

confidence: 99%

A Review of Piezoelectric PVDF Film by Electrospinning and Its Applications

Kalimuldina

Turdakyn

Abay

et al. 2020

Sensors

235

124

View full text Add to dashboard Cite

show abstract

“…They can also be used to detect other non-electric quantities that can be converted into light changes, such as the diameter of parts, surface roughness, strain, displacement, vibration, speed, acceleration, and the shape of objects, the identification of working state, etc. [3]. By collecting the dynamic pressure distribution of the sole, the biomechanical properties of shoes can be evaluated, such as cushioning performance, support strength, stability and so on [4] [5].…”

Section: Introductionmentioning

confidence: 99%

An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks

Wang

et al. 2019

Optik

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The objective of this study was to design and produce highly comfortable shoe products guided by a plantar pressure imaging data-set. Previous studies have focused on the geometric measurement on the size of the plantar, while in this research a plantar pressure optical imaging data-set based classification technology has been developed. In this paper, an improved local binary pattern (LBP) algorithm is used to extract texture-based features and recognize patterns from the data-set. A calculating model of plantar pressure imaging feature area is established subsequently. The data-set is classified by a neural network to guide the generation of various shoe-last surfaces. Firstly, the local binary mode is improved to adapt to the pressure imaging data-set, and the texture-based feature calculation is fully used to accurately generate the feature point set; hereafter, the plantar pressure imaging feature point set is then used to guide the design of last free surface forming. In the presented experiments of plantar imaging, multi-dimensional texture-based features and improved LBP features have been found by a convolution neural network (CNN), and compared with a 21-input-3-output two-layer perceptual neural network. Three feet types are investigated in the experiment, being flatfoot (F) referring to the lack of a normal arch, or arch collapse, Talipes Equinovarus (TE), being the front part of the foot is adduction, calcaneus varus, plantar flexion, or Achilles tendon contracture and Normal (N). This research has achieved an 82% accuracy rate with 10 hidden-layers CNN of rotation invariance LBP (RI-LBP) algorithm using 21 texture-based features by comparing other deep learning methods presented in the literature.

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“…A schematic diagram of the electrospinning technique is shown in Figure 8a. Gong et al [134] combined the PVDF nanofiber membrane by electrospinning with PDMS-Ag NWS and PET/ITO electrodes to fabricate sensors. Lu et al [106] made a flexible bend sensor to monitor human respiration by electrospinning PVDF and a silver mixed solution (Figure 8b).…”

Section: Fabrication Of Pvdf By Electrospinningmentioning

confidence: 99%

“…High-voltage electrospinning can be used to fabricate PVDF piezoelectric nanofiber films [51,[145][146][147][148][149]. Gong et al [134] combined the PVDF nanofiber membrane by electrospinning with PDMS-Ag NWS and PET/ITO electrodes to fabricate sensors (Figure 11a) [134]. This type of sensor has evident piezoelectric properties and performs well in quantitative pressure measurement.…”

Section: Physical Sensorsmentioning

confidence: 99%

Composites, Fabrication and Application of Polyvinylidene Fluoride for Flexible Electromechanical Devices: A Review

Guo

Duan

Xie

et al. 2020

Preprint

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The technological development of piezoelectric materials is crucial for developing wearable and flexible electromechanical devices. There are many inorganic materials with piezoelectric effects, such as piezoelectric ceramics, aluminum nitride, and zinc oxide. They all have very high piezoelectric coefficients and large piezoelectric response ranges. The characteristics of high hardness and low tenacity make inorganic piezoelectric materials unsuitable for flexible devices that require frequent bending. Polyvinylidene fluoride (PVDF) and its derivatives are the most popular materials used in flexible electromechanical devices in recent years and have high flexibility, high sensitivity, high ductility, and a certain piezoelectric coefficient. Owing to increasing the piezoelectric coefficient of PVDF, researchers are committed to optimizing PVDF materials and enhancing their polarity by a series of means to further improve their mechanical–electrical conversion efficiency. This paper reviews the latest PVDF-related optimization materials, related processing and polarization methods, and the applications of these materials such as those in wearable functional devices, chemical sensors, biosensors, and flexible actuator devices for flexible micro-electromechanical devices. We also discuss the challenges of wearable devices based on flexible piezoelectric polymer, consider where further practical applications could be.

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Flexible pressure sensor based on PVDF nanofiber

Cited by 97 publications

References 47 publications

A Review of Piezoelectric PVDF Film by Electrospinning and Its Applications

A Review of Piezoelectric PVDF Film by Electrospinning and Its Applications

An efficient local binary pattern based plantar pressure optical sensor image classification using convolutional neural networks

Composites, Fabrication and Application of Polyvinylidene Fluoride for Flexible Electromechanical Devices: A Review

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