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

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.

Effect of MWCNT content on the mechanical and strain-sensing performance of Thermoplastic Polyurethane composite fibers

Carbon ◽  
2019 ◽  
Vol 146 ◽  
pp. 701-708 ◽  
Author(s):  
Zuoli He ◽  
Joon-Hyung Byun ◽  
Gengheng Zhou ◽  
Byeong-Jin Park ◽  
Tae-Hoon Kim ◽  
...  
Keyword(s):  
Thermoplastic Polyurethane ◽  
Strain Sensing ◽  
Composite Fibers ◽  
Mwcnt Content ◽  
Polyurethane Composite ◽  
Sensing Performance

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.

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