Recent Advances of Flexible Strain Sensors Based on Conductive Fillers and Thermoplastic Polyurethane Matrixes

2021 ◽  
Author(s):  
Tianjiao Chen ◽  
Yuntao Xie ◽  
Zhiyu Wang ◽  
Jingxian Lou ◽  
Danyu Liu ◽  
...  
Keyword(s):  
Thermoplastic Polyurethane ◽  
Strain Sensors ◽  
Recent Advances ◽  
Conductive Fillers

scholarly journals Non-Monotonic Sensor Behavior of Carbon Particle-Filled Textile Strain Sensors

2021 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Johannes Mersch ◽  
Henriette Probst ◽  
Andreas Nocke ◽  
Chokri Cherif ◽  
Gerald Gerlach
Keyword(s):  
Thermoplastic Polyurethane ◽  
Carbon Particle ◽  
Equivalent Circuit Model ◽  
Conductive Filler ◽  
Underlying Mechanism ◽  
Human Motion ◽  
Strain Sensors ◽  
Material Behavior ◽  
Strain History ◽  
Filled Elastomers

Carbon particle-filled elastomers are a widely researched option to be used as piezoresistive strain sensors for soft robotics or human motion monitoring. Therefore, various polymers can be compounded with carbon black (CB), carbon nanotubes (CNT) or graphene. However, in many studies, the electrical resistance strain response of the carbon particle-filled elastomers is non-monotonic in dynamic evaluation scenarios. The non-monotonic material behavior is also called shoulder phenomenon or secondary peak. Until today, the underlying cause is not sufficiently well understood. In this study, several influencing test parameters on the shoulder phenomena are explored, such as strain level, strain rate and strain history. Moreover, material parameters such as CNT content and anisotropy are varied in melt-spun CNT filled thermoplastic polyurethane (TPU) filament yarns, and their non-monotonic sensor response is evaluated. Additionally, a theoretical concept for the underlying mechanism and thereupon-based model is presented. An equivalent circuit model is used, which incorporates the visco-elastic properties and the characteristic of the percolation network formed by the conductive filler material. The simulation results are in good agreement when compared to the experimental results.

Characterization of the Aniline.DBSA/Thermoplastic Polyurethane Blends for the Thermo-Mechanical and Electro-Mechanical Properties

2021 ◽  
Vol 875 ◽  
pp. 96-103
Author(s):  
Ayesha Afzal ◽  
Iqra Abdul Rashid ◽  
H.M. Faizan Shakir ◽  
Asra Tariq
Keyword(s):  
Mechanical Properties ◽  
Thermoplastic Polyurethane ◽  
Strain Sensors ◽  
Sem Images ◽  
Dynamic Mechanical Thermal Analyzer ◽  
Thermal Analyzer ◽  
Uniform Dispersion ◽  
Polymerization Method

Conducting polymer blends Polyaniline-Dodecylbenzene sulfonic acid (Pani.DBSA) and thermoplastic polyurethane (TPU) were prepared using in-situ emulsion polymerization method by dissolving both components in DMF. Ani.DBSA/TPU blends were prepared with different compositions 20/80, 30/70, 40/60 and 50/50 wt%. Theses blends have good conducting and mechanical properties. Blends were characterized by Potentiostate, Thermogravimetric analysis (TGA), Infrared spectroscopy (FTIR) and Dynamic mechanical thermal analyzer (DMTA). The electrical conductivity increases up to 30 wt% loading of aniline.DBSA after that it decreases gradually. The uniform dispersion of aniline.DBSA showed in SEM images which is the indication of a strong connection between aniline.DBSA and TPU which increase the conductivity. These blends can be used as strain sensors.

Stretchable strain sensors based on polyaniline/thermoplastic polyurethane blends

2019 ◽  
Vol 77 (3) ◽  
pp. 1081-1093 ◽  
Author(s):  
Iqra Abdul Rashid ◽  
Muhammad Shafiq Irfan ◽  
Yasir Qayyum Gill ◽  
Rabia Nazar ◽  
Farhan Saeed ◽  
...  
Keyword(s):  
Thermoplastic Polyurethane ◽  
Strain Sensors

High conductive free-written thermoplastic polyurethane composite fibers utilized as weight-strain sensors

2020 ◽  
Vol 189 ◽  
pp. 108011 ◽  
Author(s):  
Shijie Zhang ◽  
Zuoli He ◽  
Gengheng Zhou ◽  
Byung-Mun Jung ◽  
Tae-Hoon Kim ◽  
...  
Keyword(s):  
Thermoplastic Polyurethane ◽  
Strain Sensors ◽  
Composite Fibers ◽  
Polyurethane Composite

A highly stretchable and transparent silver nanowire/thermoplastic polyurethane film strain sensor for human motion monitoring

2019 ◽  
Vol 6 (11) ◽  
pp. 3119-3124 ◽  
Author(s):  
Runfei Wang ◽  
Wei Xu ◽  
Wenfeng Shen ◽  
Xiaoqing Shi ◽  
Jian Huang ◽  
...  
Keyword(s):  
Silver Nanowires ◽  
Thermoplastic Polyurethane ◽  
Human Motion ◽  
Strain Sensors ◽  
Silver Nanowire ◽  
Transparent Film ◽  
Polyurethane Film ◽  
Highly Stretchable ◽  
Human Motion Monitoring ◽  
Human Motions

Transparent film strain sensors based on silver nanowires and thermoplastic polyurethane are promising candidates for detecting various human motions and monitoring the mass of some kinetic objects.

Highly stretchable multi-walled carbon nanotube/thermoplastic polyurethane composite fibers for ultrasensitive, wearable strain sensors

Nanoscale ◽  
2019 ◽  
Vol 11 (13) ◽  
pp. 5884-5890 ◽  
Author(s):  
Zuoli He ◽  
Gengheng Zhou ◽  
Joon-Hyung Byun ◽  
Sang-Kwan Lee ◽  
Moon-Kwang Um ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Thermoplastic Polyurethane ◽  
Strain Sensor ◽  
Strain Sensors ◽  
Wet Spinning ◽  
Polyurethane Composite ◽  
Multi Walled Carbon Nanotube ◽  
Highly Sensitive ◽  
Spinning Process ◽  
Highly Stretchable

In this manuscript, we report a novel highly sensitive wearable strain sensor based on a highly stretchable multi-walled carbon nanotube (MWCNT)/Thermoplastic Polyurethane (TPU) fiber obtained via a wet spinning process.

Stretchable and tough conductive hydrogels for flexible pressure and strain sensors

2020 ◽  
Vol 8 (16) ◽  
pp. 3437-3459 ◽  
Author(s):  
Zhenwu Wang ◽  
Yang Cong ◽  
Jun Fu
Keyword(s):  
Implantable Devices ◽  
Strain Sensors ◽  
Recent Advances ◽  
Conductive Hydrogel ◽  
Conductive Hydrogels

This review summarises recent advances in stretchable and tough conductive hydrogel sensors for wearable and implantable devices.

Recent Advances of Carbon-Based Flexible Strain Sensors in Physiological Signal Monitoring

2020 ◽  
Vol 2 (8) ◽  
pp. 2282-2300 ◽  
Author(s):  
Siming Li ◽  
Xueliang Xiao ◽  
Jiayu Hu ◽  
Manchen Dong ◽  
Yuqi Zhang ◽  
...  
Keyword(s):  
Strain Sensors ◽  
Physiological Signal ◽  
Recent Advances ◽  
Signal Monitoring ◽  
Carbon Based

Mechanical Behavior of 3D Printed Multiwalled Carbon Nanotube/Thermoplastic Polyurethane Nanocomposites

2017 ◽  
Author(s):  
Cameron Hohimer ◽  
Nahal Aliheidari ◽  
Changki Mo ◽  
Amir Ameli
Keyword(s):  
Mechanical Properties ◽  
Mechanical Behavior ◽  
Modulus Of Elasticity ◽  
Fused Deposition Modeling ◽  
Mechanical Performance ◽  
Thermoplastic Polyurethane ◽  
Multiwall Carbon Nanotubes ◽  
Strain Sensors ◽  
Multiwalled Carbon ◽  
Fused Deposition

As the soft robotics industry continues to grow, the need for new materials and simplified manufacturing techniques are essential. Of interest is the development of highly flexible strain sensors that are easily integrated into these robotic components. Current strain sensing solutions using piezoresistive materials often involve complex fabrication techniques with multiple steps. Recent work by the authors has shown that thermoplastic polyurethane/multiwall carbon nanotubes (TPU/MWCNT) has good piezoresistive behavior and can be easily fabricated into strain sensors using Fused Deposition Modeling (FDM). This work expands upon that effort to characterize the mechanical properties of FDM-printed TPU/MWCNT as a function of the FDM processing parameters. In this study, the air gap, raster orientation, and MWCNT weight percent were varied and tensile tests performed. The stress-strain behavior, modulus of elasticity, and ultimate tensile strength (UTS) are compared to assess the influence of the processing conditions. Optical microscopy was also carried out to correlate the mechanical behavior to the printed mesostructures. The results show that with increased MWCNT content, the UTS decreased by as much at 47% for 2wt.%MWCNT, while the modulus of elasticity increased by 54%, compared to those of pure TPU. The results of this work provide an understanding of the mechanical performance in relation to the print parameters and sets the base to tune the mechanical properties of printed flexible functional nanocomposites.

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